felixleungsc/paperswithcode-data-evaluation-tables

task_path stringlengths 3 199 ⌀	dataset stringlengths 1 128 ⌀	model_name stringlengths 1 223 ⌀	paper_url stringlengths 21 601 ⌀	metric_name stringlengths 1 50 ⌀	metric_value stringlengths 1 9.22k ⌀
16k > Object Detection > Camouflaged Object Segmentation	CAMO	ZoomNeXt-ResNet-50	https://arxiv.org/abs/2310.20208v4	S-Measure	0.833
16k > Object Detection > Camouflaged Object Segmentation	CAMO	SINet-V2	https://arxiv.org/abs/2102.10274v2	MAE	0.070
16k > Object Detection > Camouflaged Object Segmentation	CAMO	SINet-V2	https://arxiv.org/abs/2102.10274v2	Weighted F-Measure	0.743
16k > Object Detection > Camouflaged Object Segmentation	CAMO	SINet-V2	https://arxiv.org/abs/2102.10274v2	S-Measure	0.820
16k > Object Detection > Camouflaged Object Segmentation	CAMO	MirrorNet-ResNeXt152	https://arxiv.org/abs/2007.12881v3	MAE	0.077
16k > Object Detection > Camouflaged Object Segmentation	CAMO	MirrorNet-ResNeXt152	https://arxiv.org/abs/2007.12881v3	Weighted F-Measure	0.719
16k > Object Detection > Camouflaged Object Segmentation	CAMO	MirrorNet-ResNeXt152	https://arxiv.org/abs/2007.12881v3	S-Measure	0.785
16k > Object Detection > Camouflaged Object Segmentation	CAMO	PraNet	https://arxiv.org/abs/2006.11392v4	MAE	0.094
16k > Object Detection > Camouflaged Object Segmentation	CAMO	PraNet	https://arxiv.org/abs/2006.11392v4	Weighted F-Measure	0.663
16k > Object Detection > Camouflaged Object Segmentation	CAMO	PraNet	https://arxiv.org/abs/2006.11392v4	S-Measure	0.769
16k > Object Detection > Camouflaged Object Segmentation	CAMO	SINet	http://openaccess.thecvf.com/content_CVPR_2020/html/Fan_Camouflaged_Object_Detection_CVPR_2020_paper.html	MAE	0.100
16k > Object Detection > Camouflaged Object Segmentation	CAMO	SINet	http://openaccess.thecvf.com/content_CVPR_2020/html/Fan_Camouflaged_Object_Detection_CVPR_2020_paper.html	Weighted F-Measure	0.606
16k > Object Detection > Camouflaged Object Segmentation	CAMO	SINet	http://openaccess.thecvf.com/content_CVPR_2020/html/Fan_Camouflaged_Object_Detection_CVPR_2020_paper.html	S-Measure	0.751
16k > Object Detection > Camouflaged Object Segmentation	CAMO	EGNet	http://openaccess.thecvf.com/content_ICCV_2019/html/Zhao_EGNet_Edge_Guidance_Network_for_Salient_Object_Detection_ICCV_2019_paper.html	MAE	0.104
16k > Object Detection > Camouflaged Object Segmentation	CAMO	EGNet	http://openaccess.thecvf.com/content_ICCV_2019/html/Zhao_EGNet_Edge_Guidance_Network_for_Salient_Object_Detection_ICCV_2019_paper.html	Weighted F-Measure	0.583
16k > Object Detection > Camouflaged Object Segmentation	CAMO	EGNet	http://openaccess.thecvf.com/content_ICCV_2019/html/Zhao_EGNet_Edge_Guidance_Network_for_Salient_Object_Detection_ICCV_2019_paper.html	S-Measure	0.732
16k > Object Detection > Camouflaged Object Segmentation	CAMO	BASNet	http://openaccess.thecvf.com/content_CVPR_2019/html/Qin_BASNet_Boundary-Aware_Salient_Object_Detection_CVPR_2019_paper.html	MAE	0.159
16k > Object Detection > Camouflaged Object Segmentation	CAMO	BASNet	http://openaccess.thecvf.com/content_CVPR_2019/html/Qin_BASNet_Boundary-Aware_Salient_Object_Detection_CVPR_2019_paper.html	Weighted F-Measure	0.413
16k > Object Detection > Camouflaged Object Segmentation	CAMO	BASNet	http://openaccess.thecvf.com/content_CVPR_2019/html/Qin_BASNet_Boundary-Aware_Salient_Object_Detection_CVPR_2019_paper.html	S-Measure	0.618
16k > Object Detection > Camouflaged Object Segmentation	CAMO	SAMFusion	https://www.preprints.org/manuscript/202307.1729/v1	MAE	0.0560
16k > Object Detection > Camouflaged Object Segmentation	CAMO	SAMFusion	https://www.preprints.org/manuscript/202307.1729/v1	Weighted F-Measure	0.833
16k > Object Detection > Camouflaged Object Segmentation	Camouflaged Animal Dataset	ZoomNeXt-PVTv2-B5	https://arxiv.org/abs/2310.20208v4	S-measure	0.757
16k > Object Detection > Camouflaged Object Segmentation	Camouflaged Animal Dataset	ZoomNeXt-PVTv2-B5	https://arxiv.org/abs/2310.20208v4	weighted F-measure	0.593
16k > Object Detection > Camouflaged Object Segmentation	Camouflaged Animal Dataset	ZoomNeXt-PVTv2-B5	https://arxiv.org/abs/2310.20208v4	MAE	0.020
16k > Object Detection > Camouflaged Object Segmentation	Camouflaged Animal Dataset	ZoomNeXt-PVTv2-B5	https://arxiv.org/abs/2310.20208v4	mDice	0.599
16k > Object Detection > Camouflaged Object Segmentation	Camouflaged Animal Dataset	ZoomNeXt-PVTv2-B5	https://arxiv.org/abs/2310.20208v4	mIoU	0.510
16k > Object Detection > Camouflaged Object Segmentation	Camouflaged Animal Dataset	STL-Net-LT-PVTv2-B5	https://arxiv.org/abs/2203.07363v2	S-measure	0.696
16k > Object Detection > Camouflaged Object Segmentation	Camouflaged Animal Dataset	STL-Net-LT-PVTv2-B5	https://arxiv.org/abs/2203.07363v2	weighted F-measure	0.481
16k > Object Detection > Camouflaged Object Segmentation	Camouflaged Animal Dataset	STL-Net-LT-PVTv2-B5	https://arxiv.org/abs/2203.07363v2	MAE	0.030
16k > Object Detection > Camouflaged Object Segmentation	Camouflaged Animal Dataset	STL-Net-LT-PVTv2-B5	https://arxiv.org/abs/2203.07363v2	mDice	0.493
16k > Object Detection > Camouflaged Object Segmentation	Camouflaged Animal Dataset	STL-Net-LT-PVTv2-B5	https://arxiv.org/abs/2203.07363v2	mIoU	0.402
16k > Object Detection > Camouflaged Object Segmentation	NC4K	FOCUS	https://arxiv.org/abs/2501.05238v1	S-measure	0.915
16k > Object Detection > Camouflaged Object Segmentation	NC4K	FOCUS	https://arxiv.org/abs/2501.05238v1	weighted F-measure	0.906
16k > Object Detection > Camouflaged Object Segmentation	NC4K	FOCUS	https://arxiv.org/abs/2501.05238v1	MAE	0.020
16k > Object Detection > Camouflaged Object Segmentation	NC4K	BiRefNet	https://arxiv.org/abs/2401.03407v6	S-measure	0.914
16k > Object Detection > Camouflaged Object Segmentation	NC4K	BiRefNet	https://arxiv.org/abs/2401.03407v6	weighted F-measure	0.894
16k > Object Detection > Camouflaged Object Segmentation	NC4K	BiRefNet	https://arxiv.org/abs/2401.03407v6	MAE	0.023
16k > Object Detection > Camouflaged Object Segmentation	NC4K	ZoomNeXt-PVTv2-B5	https://arxiv.org/abs/2310.20208v4	S-measure	0.903
16k > Object Detection > Camouflaged Object Segmentation	NC4K	ZoomNeXt-PVTv2-B5	https://arxiv.org/abs/2310.20208v4	weighted F-measure	0.863
16k > Object Detection > Camouflaged Object Segmentation	NC4K	ZoomNeXt-PVTv2-B5	https://arxiv.org/abs/2310.20208v4	MAE	0.028
16k > Object Detection > Camouflaged Object Segmentation	NC4K	ZoomNeXt-PVTv2-B4	https://arxiv.org/abs/2310.20208v4	S-measure	0.900
16k > Object Detection > Camouflaged Object Segmentation	NC4K	ZoomNeXt-PVTv2-B4	https://arxiv.org/abs/2310.20208v4	weighted F-measure	0.865
16k > Object Detection > Camouflaged Object Segmentation	NC4K	ZoomNeXt-PVTv2-B4	https://arxiv.org/abs/2310.20208v4	MAE	0.028
16k > Object Detection > Camouflaged Object Segmentation	NC4K	ZoomNeXt-ResNet-50	https://arxiv.org/abs/2310.20208v4	S-measure	0.874
16k > Object Detection > Camouflaged Object Segmentation	NC4K	ZoomNeXt-ResNet-50	https://arxiv.org/abs/2310.20208v4	weighted F-measure	0.816
16k > Object Detection > Camouflaged Object Segmentation	NC4K	ZoomNeXt-ResNet-50	https://arxiv.org/abs/2310.20208v4	MAE	0.037
16k > Object Detection > Camouflaged Object Segmentation	NC4K	SINetV2-Res2Net-50	https://arxiv.org/abs/2102.10274v2	S-measure	0.847
16k > Object Detection > Camouflaged Object Segmentation	NC4K	SINetV2-Res2Net-50	https://arxiv.org/abs/2102.10274v2	weighted F-measure	0.770
16k > Object Detection > Camouflaged Object Segmentation	NC4K	SINetV2-Res2Net-50	https://arxiv.org/abs/2102.10274v2	MAE	0.048
16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt	CAMO	RDVP-MSD	null	MAE	0.081
16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt	CAMO	RDVP-MSD	null	E_{\phi}	0.848
16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt	CAMO	RDVP-MSD	null	S_{\alpha}	0.796
16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt	CAMO	ProMaC	https://arxiv.org/abs/2408.15205v3	MAE	0.09
16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt	CAMO	ProMaC	https://arxiv.org/abs/2408.15205v3	F_{\beta}	0.725
16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt	CAMO	ProMaC	https://arxiv.org/abs/2408.15205v3	E_{\phi}	0.846
16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt	CAMO	ProMaC	https://arxiv.org/abs/2408.15205v3	S_{\alpha}	0.767
16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt	CAMO	GenSAM	https://arxiv.org/abs/2312.07374v3	MAE	0.113
16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt	CAMO	GenSAM	https://arxiv.org/abs/2312.07374v3	F_{\beta}	0.659
16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt	CAMO	GenSAM	https://arxiv.org/abs/2312.07374v3	E_{\phi}	0.775
16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt	CAMO	GenSAM	https://arxiv.org/abs/2312.07374v3	S_{\alpha}	0.719
16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt	COD10K	RDVP-MSD	null	MAE	0.038
16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt	COD10K	RDVP-MSD	null	E_{\phi}	0.877
16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt	COD10K	RDVP-MSD	null	S_{\alpha}	0.825
16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt	COD10K	ProMaC	https://arxiv.org/abs/2408.15205v3	MAE	0.042
16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt	COD10K	ProMaC	https://arxiv.org/abs/2408.15205v3	F_{\beta}	0.716
16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt	COD10K	ProMaC	https://arxiv.org/abs/2408.15205v3	E_{\phi}	0.876
16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt	COD10K	ProMaC	https://arxiv.org/abs/2408.15205v3	S_{\alpha}	0.805
16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt	COD10K	GenSAM	https://arxiv.org/abs/2312.07374v3	MAE	0.067
16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt	COD10K	GenSAM	https://arxiv.org/abs/2312.07374v3	F_{\beta}	0.681
16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt	COD10K	GenSAM	https://arxiv.org/abs/2312.07374v3	E_{\phi}	0.838
16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt	COD10K	GenSAM	https://arxiv.org/abs/2312.07374v3	S_{\alpha}	0.775
16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt	Chameleon	ProMaC	https://arxiv.org/abs/2408.15205v3	MAE	0.044
16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt	Chameleon	ProMaC	https://arxiv.org/abs/2408.15205v3	F_{\beta}	0.79
16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt	Chameleon	ProMaC	https://arxiv.org/abs/2408.15205v3	E_{\phi}	0.899
16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt	Chameleon	ProMaC	https://arxiv.org/abs/2408.15205v3	S_{\alpha}	0.833
16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt	Chameleon	GenSAM	https://arxiv.org/abs/2312.07374v3	MAE	0.09
16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt	Chameleon	GenSAM	https://arxiv.org/abs/2312.07374v3	F_{\beta}	0.68
16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt	Chameleon	GenSAM	https://arxiv.org/abs/2312.07374v3	E_{\phi}	0.807
16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt	Chameleon	GenSAM	https://arxiv.org/abs/2312.07374v3	S_{\alpha}	0.764
16k > Object Detection > Open World Object Detection	COCO 2017 (Electronic, Indoor, Kitchen, Furniture)	ORE (MDef-DETR)	https://arxiv.org/abs/2111.11430v6	MAP	31.66
16k > Object Detection > Open World Object Detection	COCO 2017 (Electronic, Indoor, Kitchen, Furniture)	ORE	https://arxiv.org/abs/2103.02603v2	MAP	26.66
16k > Object Detection > Open World Object Detection	COCO 2017 (Sports, Food)	ORE (MDef-DETR)	https://arxiv.org/abs/2111.11430v6	WI	0.0179
16k > Object Detection > Open World Object Detection	COCO 2017 (Sports, Food)	ORE (MDef-DETR)	https://arxiv.org/abs/2111.11430v6	A-OSE	4117
16k > Object Detection > Open World Object Detection	COCO 2017 (Sports, Food)	ORE (MDef-DETR)	https://arxiv.org/abs/2111.11430v6	MAP	36.75
16k > Object Detection > Open World Object Detection	COCO 2017 (Sports, Food)	ORE (MDef-DETR)	https://arxiv.org/abs/2111.11430v6	Unknown Recall	50.89
16k > Object Detection > Open World Object Detection	COCO 2017 (Sports, Food)	ORE	https://arxiv.org/abs/2103.02603v2	WI	0.0081
16k > Object Detection > Open World Object Detection	COCO 2017 (Sports, Food)	ORE	https://arxiv.org/abs/2103.02603v2	A-OSE	6634
16k > Object Detection > Open World Object Detection	COCO 2017 (Sports, Food)	ORE	https://arxiv.org/abs/2103.02603v2	MAP	29.32
16k > Object Detection > Open World Object Detection	COCO 2017 (Sports, Food)	ORE	https://arxiv.org/abs/2103.02603v2	Unknown Recall	14.79
16k > Object Detection > Open World Object Detection	COCO 2017 (Outdoor, Accessories, Appliance, Truck)	ORE (MDef-DETR)	https://arxiv.org/abs/2111.11430v6	A-OSE	5212
16k > Object Detection > Open World Object Detection	COCO 2017 (Outdoor, Accessories, Appliance, Truck)	ORE (MDef-DETR)	https://arxiv.org/abs/2111.11430v6	WI	0.0251
16k > Object Detection > Open World Object Detection	COCO 2017 (Outdoor, Accessories, Appliance, Truck)	ORE (MDef-DETR)	https://arxiv.org/abs/2111.11430v6	MAP	46.19
16k > Object Detection > Open World Object Detection	COCO 2017 (Outdoor, Accessories, Appliance, Truck)	ORE (MDef-DETR)	https://arxiv.org/abs/2111.11430v6	Unknown Recall	49.54
16k > Object Detection > Open World Object Detection	COCO 2017 (Outdoor, Accessories, Appliance, Truck)	ORE	https://arxiv.org/abs/2103.02603v2	A-OSE	7772
16k > Object Detection > Open World Object Detection	COCO 2017 (Outdoor, Accessories, Appliance, Truck)	ORE	https://arxiv.org/abs/2103.02603v2	WI	0.0154
16k > Object Detection > Open World Object Detection	COCO 2017 (Outdoor, Accessories, Appliance, Truck)	ORE	https://arxiv.org/abs/2103.02603v2	MAP	38.98
16k > Object Detection > Open World Object Detection	COCO 2017 (Outdoor, Accessories, Appliance, Truck)	ORE	https://arxiv.org/abs/2103.02603v2	Unknown Recall	11.32
16k > Object Detection > Open World Object Detection	COCO-Mix	unsniffer	https://arxiv.org/abs/2303.13769v3	unknown-AP	0.150
16k > Object Detection > Open World Object Detection	COCO-Mix	unsniffer	https://arxiv.org/abs/2303.13769v3	unknown F1 score	0.287
16k > Object Detection > Open World Object Detection	COCO-OOD	unsniffer	https://arxiv.org/abs/2303.13769v3	unknown-AP	0.454

16k > Object Detection > Camouflaged Object Segmentation

CAMO

ZoomNeXt-ResNet-50

https://arxiv.org/abs/2310.20208v4

S-Measure

0.833

16k > Object Detection > Camouflaged Object Segmentation

CAMO

SINet-V2

https://arxiv.org/abs/2102.10274v2

MAE

0.070

16k > Object Detection > Camouflaged Object Segmentation

CAMO

SINet-V2

https://arxiv.org/abs/2102.10274v2

Weighted F-Measure

0.743

16k > Object Detection > Camouflaged Object Segmentation

CAMO

SINet-V2

https://arxiv.org/abs/2102.10274v2

S-Measure

0.820

16k > Object Detection > Camouflaged Object Segmentation

CAMO

MirrorNet-ResNeXt152

https://arxiv.org/abs/2007.12881v3

MAE

0.077

16k > Object Detection > Camouflaged Object Segmentation

CAMO

MirrorNet-ResNeXt152

https://arxiv.org/abs/2007.12881v3

Weighted F-Measure

0.719

16k > Object Detection > Camouflaged Object Segmentation

CAMO

MirrorNet-ResNeXt152

https://arxiv.org/abs/2007.12881v3

S-Measure

0.785

16k > Object Detection > Camouflaged Object Segmentation

CAMO

PraNet

https://arxiv.org/abs/2006.11392v4

MAE

0.094

16k > Object Detection > Camouflaged Object Segmentation

CAMO

PraNet

https://arxiv.org/abs/2006.11392v4

Weighted F-Measure

0.663

16k > Object Detection > Camouflaged Object Segmentation

CAMO

PraNet

https://arxiv.org/abs/2006.11392v4

S-Measure

0.769

16k > Object Detection > Camouflaged Object Segmentation

CAMO

SINet

http://openaccess.thecvf.com/content_CVPR_2020/html/Fan_Camouflaged_Object_Detection_CVPR_2020_paper.html

MAE

0.100

16k > Object Detection > Camouflaged Object Segmentation

CAMO

SINet

http://openaccess.thecvf.com/content_CVPR_2020/html/Fan_Camouflaged_Object_Detection_CVPR_2020_paper.html

Weighted F-Measure

0.606

16k > Object Detection > Camouflaged Object Segmentation

CAMO

SINet

http://openaccess.thecvf.com/content_CVPR_2020/html/Fan_Camouflaged_Object_Detection_CVPR_2020_paper.html

S-Measure

0.751

16k > Object Detection > Camouflaged Object Segmentation

CAMO

EGNet

http://openaccess.thecvf.com/content_ICCV_2019/html/Zhao_EGNet_Edge_Guidance_Network_for_Salient_Object_Detection_ICCV_2019_paper.html

MAE

0.104

16k > Object Detection > Camouflaged Object Segmentation

CAMO

EGNet

http://openaccess.thecvf.com/content_ICCV_2019/html/Zhao_EGNet_Edge_Guidance_Network_for_Salient_Object_Detection_ICCV_2019_paper.html

Weighted F-Measure

0.583

16k > Object Detection > Camouflaged Object Segmentation

CAMO

EGNet

http://openaccess.thecvf.com/content_ICCV_2019/html/Zhao_EGNet_Edge_Guidance_Network_for_Salient_Object_Detection_ICCV_2019_paper.html

S-Measure

0.732

16k > Object Detection > Camouflaged Object Segmentation

CAMO

BASNet

http://openaccess.thecvf.com/content_CVPR_2019/html/Qin_BASNet_Boundary-Aware_Salient_Object_Detection_CVPR_2019_paper.html

MAE

0.159

16k > Object Detection > Camouflaged Object Segmentation

CAMO

BASNet

http://openaccess.thecvf.com/content_CVPR_2019/html/Qin_BASNet_Boundary-Aware_Salient_Object_Detection_CVPR_2019_paper.html

Weighted F-Measure

0.413

16k > Object Detection > Camouflaged Object Segmentation

CAMO

BASNet

http://openaccess.thecvf.com/content_CVPR_2019/html/Qin_BASNet_Boundary-Aware_Salient_Object_Detection_CVPR_2019_paper.html

S-Measure

0.618

16k > Object Detection > Camouflaged Object Segmentation

CAMO

SAMFusion

https://www.preprints.org/manuscript/202307.1729/v1

MAE

0.0560

16k > Object Detection > Camouflaged Object Segmentation

CAMO

SAMFusion

https://www.preprints.org/manuscript/202307.1729/v1

Weighted F-Measure

0.833

16k > Object Detection > Camouflaged Object Segmentation

Camouflaged Animal Dataset

ZoomNeXt-PVTv2-B5

https://arxiv.org/abs/2310.20208v4

S-measure

0.757

16k > Object Detection > Camouflaged Object Segmentation

Camouflaged Animal Dataset

ZoomNeXt-PVTv2-B5

https://arxiv.org/abs/2310.20208v4

weighted F-measure

0.593

16k > Object Detection > Camouflaged Object Segmentation

Camouflaged Animal Dataset

ZoomNeXt-PVTv2-B5

https://arxiv.org/abs/2310.20208v4

MAE

0.020

16k > Object Detection > Camouflaged Object Segmentation

Camouflaged Animal Dataset

ZoomNeXt-PVTv2-B5

https://arxiv.org/abs/2310.20208v4

mDice

0.599

16k > Object Detection > Camouflaged Object Segmentation

Camouflaged Animal Dataset

ZoomNeXt-PVTv2-B5

https://arxiv.org/abs/2310.20208v4

mIoU

0.510

16k > Object Detection > Camouflaged Object Segmentation

Camouflaged Animal Dataset

STL-Net-LT-PVTv2-B5

https://arxiv.org/abs/2203.07363v2

S-measure

0.696

16k > Object Detection > Camouflaged Object Segmentation

Camouflaged Animal Dataset

STL-Net-LT-PVTv2-B5

https://arxiv.org/abs/2203.07363v2

weighted F-measure

0.481

16k > Object Detection > Camouflaged Object Segmentation

Camouflaged Animal Dataset

STL-Net-LT-PVTv2-B5

https://arxiv.org/abs/2203.07363v2

MAE

0.030

16k > Object Detection > Camouflaged Object Segmentation

Camouflaged Animal Dataset

STL-Net-LT-PVTv2-B5

https://arxiv.org/abs/2203.07363v2

mDice

0.493

16k > Object Detection > Camouflaged Object Segmentation

Camouflaged Animal Dataset

STL-Net-LT-PVTv2-B5

https://arxiv.org/abs/2203.07363v2

mIoU

0.402

16k > Object Detection > Camouflaged Object Segmentation

NC4K

FOCUS

https://arxiv.org/abs/2501.05238v1

S-measure

0.915

16k > Object Detection > Camouflaged Object Segmentation

NC4K

FOCUS

https://arxiv.org/abs/2501.05238v1

weighted F-measure

0.906

16k > Object Detection > Camouflaged Object Segmentation

NC4K

FOCUS

https://arxiv.org/abs/2501.05238v1

MAE

0.020

16k > Object Detection > Camouflaged Object Segmentation

NC4K

BiRefNet

https://arxiv.org/abs/2401.03407v6

S-measure

0.914

16k > Object Detection > Camouflaged Object Segmentation

NC4K

BiRefNet

https://arxiv.org/abs/2401.03407v6

weighted F-measure

0.894

16k > Object Detection > Camouflaged Object Segmentation

NC4K

BiRefNet

https://arxiv.org/abs/2401.03407v6

MAE

0.023

16k > Object Detection > Camouflaged Object Segmentation

NC4K

ZoomNeXt-PVTv2-B5

https://arxiv.org/abs/2310.20208v4

S-measure

0.903

16k > Object Detection > Camouflaged Object Segmentation

NC4K

ZoomNeXt-PVTv2-B5

https://arxiv.org/abs/2310.20208v4

weighted F-measure

0.863

16k > Object Detection > Camouflaged Object Segmentation

NC4K

ZoomNeXt-PVTv2-B5

https://arxiv.org/abs/2310.20208v4

MAE

0.028

16k > Object Detection > Camouflaged Object Segmentation

NC4K

ZoomNeXt-PVTv2-B4

https://arxiv.org/abs/2310.20208v4

S-measure

0.900

16k > Object Detection > Camouflaged Object Segmentation

NC4K

ZoomNeXt-PVTv2-B4

https://arxiv.org/abs/2310.20208v4

weighted F-measure

0.865

16k > Object Detection > Camouflaged Object Segmentation

NC4K

ZoomNeXt-PVTv2-B4

https://arxiv.org/abs/2310.20208v4

MAE

0.028

16k > Object Detection > Camouflaged Object Segmentation

NC4K

ZoomNeXt-ResNet-50

https://arxiv.org/abs/2310.20208v4

S-measure

0.874

16k > Object Detection > Camouflaged Object Segmentation

NC4K

ZoomNeXt-ResNet-50

https://arxiv.org/abs/2310.20208v4

weighted F-measure

0.816

16k > Object Detection > Camouflaged Object Segmentation

NC4K

ZoomNeXt-ResNet-50

https://arxiv.org/abs/2310.20208v4

MAE

0.037

16k > Object Detection > Camouflaged Object Segmentation

NC4K

SINetV2-Res2Net-50

https://arxiv.org/abs/2102.10274v2

S-measure

0.847

16k > Object Detection > Camouflaged Object Segmentation

NC4K

SINetV2-Res2Net-50

https://arxiv.org/abs/2102.10274v2

weighted F-measure

0.770

16k > Object Detection > Camouflaged Object Segmentation

NC4K

SINetV2-Res2Net-50

https://arxiv.org/abs/2102.10274v2

MAE

0.048

16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt

CAMO

RDVP-MSD

null

MAE

0.081

16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt

CAMO

RDVP-MSD

null

E_{\phi}

0.848

16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt

CAMO

RDVP-MSD

null

S_{\alpha}

0.796

16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt

CAMO

ProMaC

https://arxiv.org/abs/2408.15205v3

MAE

0.09

16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt

CAMO

ProMaC

https://arxiv.org/abs/2408.15205v3

F_{\beta}

0.725

16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt

CAMO

ProMaC

https://arxiv.org/abs/2408.15205v3

E_{\phi}

0.846

16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt

CAMO

ProMaC

https://arxiv.org/abs/2408.15205v3

S_{\alpha}

0.767

16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt

CAMO

GenSAM

https://arxiv.org/abs/2312.07374v3

MAE

0.113

16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt

CAMO

GenSAM

https://arxiv.org/abs/2312.07374v3

F_{\beta}

0.659

16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt

CAMO

GenSAM

https://arxiv.org/abs/2312.07374v3

E_{\phi}

0.775

16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt

CAMO

GenSAM

https://arxiv.org/abs/2312.07374v3

S_{\alpha}

0.719

16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt

COD10K

RDVP-MSD

null

MAE

0.038

16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt

COD10K

RDVP-MSD

null

E_{\phi}

0.877

16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt

COD10K

RDVP-MSD

null

S_{\alpha}

0.825

16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt

COD10K

ProMaC

https://arxiv.org/abs/2408.15205v3

MAE

0.042

16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt

COD10K

ProMaC

https://arxiv.org/abs/2408.15205v3

F_{\beta}

0.716

16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt

COD10K

ProMaC

https://arxiv.org/abs/2408.15205v3

E_{\phi}

0.876

16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt

COD10K

ProMaC

https://arxiv.org/abs/2408.15205v3

S_{\alpha}

0.805

16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt

COD10K

GenSAM

https://arxiv.org/abs/2312.07374v3

MAE

0.067

16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt

COD10K

GenSAM

https://arxiv.org/abs/2312.07374v3

F_{\beta}

0.681

16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt

COD10K

GenSAM

https://arxiv.org/abs/2312.07374v3

E_{\phi}

0.838

16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt

COD10K

GenSAM

https://arxiv.org/abs/2312.07374v3

S_{\alpha}

0.775

16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt

Chameleon

ProMaC

https://arxiv.org/abs/2408.15205v3

MAE

0.044

16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt

Chameleon

ProMaC

https://arxiv.org/abs/2408.15205v3

F_{\beta}

0.79

16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt

Chameleon

ProMaC

https://arxiv.org/abs/2408.15205v3

E_{\phi}

0.899

16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt

Chameleon

ProMaC

https://arxiv.org/abs/2408.15205v3

S_{\alpha}

0.833

16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt

Chameleon

GenSAM

https://arxiv.org/abs/2312.07374v3

MAE

0.09

16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt

Chameleon

GenSAM

https://arxiv.org/abs/2312.07374v3

F_{\beta}

0.68

16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt

Chameleon

GenSAM

https://arxiv.org/abs/2312.07374v3

E_{\phi}

0.807

16k > Object Detection > Camouflaged Object Segmentation > Camouflaged Object Segmentation with a Single Task-generic Prompt

Chameleon

GenSAM

https://arxiv.org/abs/2312.07374v3

S_{\alpha}

0.764

16k > Object Detection > Open World Object Detection

COCO 2017 (Electronic, Indoor, Kitchen, Furniture)

ORE (MDef-DETR)

https://arxiv.org/abs/2111.11430v6

MAP

31.66

16k > Object Detection > Open World Object Detection

COCO 2017 (Electronic, Indoor, Kitchen, Furniture)

ORE

https://arxiv.org/abs/2103.02603v2

MAP

26.66

16k > Object Detection > Open World Object Detection

COCO 2017 (Sports, Food)

ORE (MDef-DETR)

https://arxiv.org/abs/2111.11430v6

WI

0.0179

16k > Object Detection > Open World Object Detection

COCO 2017 (Sports, Food)

ORE (MDef-DETR)

https://arxiv.org/abs/2111.11430v6

A-OSE

4117

16k > Object Detection > Open World Object Detection

COCO 2017 (Sports, Food)

ORE (MDef-DETR)

https://arxiv.org/abs/2111.11430v6

MAP

36.75

16k > Object Detection > Open World Object Detection

COCO 2017 (Sports, Food)

ORE (MDef-DETR)

https://arxiv.org/abs/2111.11430v6

Unknown Recall

50.89

16k > Object Detection > Open World Object Detection

COCO 2017 (Sports, Food)

ORE

https://arxiv.org/abs/2103.02603v2

WI

0.0081

16k > Object Detection > Open World Object Detection

COCO 2017 (Sports, Food)

ORE

https://arxiv.org/abs/2103.02603v2

A-OSE

6634

16k > Object Detection > Open World Object Detection

COCO 2017 (Sports, Food)

ORE

https://arxiv.org/abs/2103.02603v2

MAP

29.32

16k > Object Detection > Open World Object Detection

COCO 2017 (Sports, Food)

ORE

https://arxiv.org/abs/2103.02603v2

Unknown Recall

14.79

16k > Object Detection > Open World Object Detection

COCO 2017 (Outdoor, Accessories, Appliance, Truck)

ORE (MDef-DETR)

https://arxiv.org/abs/2111.11430v6

A-OSE

5212

16k > Object Detection > Open World Object Detection

COCO 2017 (Outdoor, Accessories, Appliance, Truck)

ORE (MDef-DETR)

https://arxiv.org/abs/2111.11430v6

WI

0.0251

16k > Object Detection > Open World Object Detection

COCO 2017 (Outdoor, Accessories, Appliance, Truck)

ORE (MDef-DETR)

https://arxiv.org/abs/2111.11430v6

MAP

46.19

16k > Object Detection > Open World Object Detection

COCO 2017 (Outdoor, Accessories, Appliance, Truck)

ORE (MDef-DETR)

https://arxiv.org/abs/2111.11430v6

Unknown Recall

49.54

16k > Object Detection > Open World Object Detection

COCO 2017 (Outdoor, Accessories, Appliance, Truck)

ORE

https://arxiv.org/abs/2103.02603v2

A-OSE

7772

16k > Object Detection > Open World Object Detection

COCO 2017 (Outdoor, Accessories, Appliance, Truck)

ORE

https://arxiv.org/abs/2103.02603v2

WI

0.0154

16k > Object Detection > Open World Object Detection

COCO 2017 (Outdoor, Accessories, Appliance, Truck)

ORE

https://arxiv.org/abs/2103.02603v2

MAP

38.98

16k > Object Detection > Open World Object Detection

COCO 2017 (Outdoor, Accessories, Appliance, Truck)

ORE

https://arxiv.org/abs/2103.02603v2

Unknown Recall

11.32

16k > Object Detection > Open World Object Detection

COCO-Mix

unsniffer

https://arxiv.org/abs/2303.13769v3

unknown-AP

0.150

16k > Object Detection > Open World Object Detection

COCO-Mix

unsniffer

https://arxiv.org/abs/2303.13769v3

unknown F1 score

0.287

16k > Object Detection > Open World Object Detection

COCO-OOD

unsniffer

https://arxiv.org/abs/2303.13769v3

unknown-AP

0.454