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 > Robust Object Detection	Cityscapes	GDD (SD-1.5 Backbone)	https://arxiv.org/abs/2503.02101v1	mPC [AP]	24.1
16k > Object Detection > Robust Object Detection	Cityscapes	PhysAug	https://arxiv.org/abs/2412.11807v1	mPC [AP]	22.6
16k > Object Detection > Robust Object Detection	Cityscapes	FGT (R101, Faster RCNN)	https://arxiv.org/abs/2506.21042v1	mPC [AP]	22.1
16k > Object Detection > Robust Object Detection	Cityscapes	OA-DG	https://arxiv.org/abs/2312.12133v1	mPC [AP]	21.8
16k > Object Detection > Robust Object Detection	Cityscapes	GDD (R101, Faster RCNN)	https://arxiv.org/abs/2503.02101v1	mPC [AP]	21.3
16k > Object Detection > Robust Object Detection	Cityscapes	OA-Mix	https://arxiv.org/abs/2312.12133v1	mPC [AP]	20.8
16k > Object Detection > Robust Object Detection	Cityscapes	AugMix	https://arxiv.org/abs/1912.02781v2	mPC [AP]	18.1
16k > Object Detection > Robust Object Detection	Cityscapes	Stylized Training Data	https://arxiv.org/abs/1907.07484v2	mPC [AP]	17.2
16k > Object Detection > Robust Object Detection	Cityscapes	Photometric distortion	http://arxiv.org/abs/1804.02767v1	mPC [AP]	16.9
16k > Object Detection > Robust Object Detection	Cityscapes	AutoAug-det	https://arxiv.org/abs/1906.11172v1	mPC [AP]	15.8
16k > Object Detection > Robust Object Detection	Cityscapes	Cutout	http://arxiv.org/abs/1708.04896v2	mPC [AP]	15.7
16k > Object Detection > Robust Object Detection	Cityscapes	Baseline	http://arxiv.org/abs/1506.01497v3	mPC [AP]	15.4
16k > Object Detection > Robust Object Detection	Cityscapes test	Faster R-CNN with Stylized Training Data	https://arxiv.org/abs/1907.07484v2	mPC [AP]	17.2
16k > Object Detection > Robust Object Detection	Cityscapes test	Faster R-CNN with Stylized Training Data	https://arxiv.org/abs/1907.07484v2	rPC [%]	47.4
16k > Object Detection > Robust Object Detection	Cityscapes test	Faster R-CNN	https://arxiv.org/abs/1907.07484v2	mPC [AP]	12.2
16k > Object Detection > Robust Object Detection	Cityscapes test	Faster R-CNN	https://arxiv.org/abs/1907.07484v2	rPC [%]	33.4
16k > Object Detection > Robust Object Detection	DWD	GDD (SD-1.5 Backbone)	https://arxiv.org/abs/2503.02101v1	mPC [AP50]	40.5
16k > Object Detection > Robust Object Detection	DWD	GDD (R101, Faster RCNN)	https://arxiv.org/abs/2503.02101v1	mPC [AP50]	38.1
16k > Object Detection > Robust Object Detection	DWD	PhysAug	https://arxiv.org/abs/2412.11807v1	mPC [AP50]	37.5
16k > Object Detection > Robust Object Detection	DWD	VLTDet	https://arxiv.org/abs/2312.02021v4	mPC [AP50]	36.9
16k > Object Detection > Robust Object Detection	DWD	OA-DG	https://arxiv.org/abs/2312.12133v1	mPC [AP50]	31.8
16k > Object Detection > Robust Object Detection	DWD	SRCD	https://arxiv.org/abs/2307.01750v2	mPC [AP50]	29.6
16k > Object Detection > Robust Object Detection	DWD	CDSD	http://openaccess.thecvf.com//content/CVPR2022/html/Wu_Single-Domain_Generalized_Object_Detection_in_Urban_Scene_via_Cyclic-Disentangled_Self-Distillation_CVPR_2022_paper.html	mPC [AP50]	28.7
16k > Object Detection > Robust Object Detection	DWD	SHADE	https://arxiv.org/abs/2204.02548v2	mPC [AP50]	28.4
16k > Object Detection > Robust Object Detection	DWD	ISW	https://arxiv.org/abs/2103.15597v2	mPC [AP50]	26.3
16k > Object Detection > Robust Object Detection	DWD	SW	https://arxiv.org/abs/1904.09739v4	mPC [AP50]	26.1
16k > Object Detection > Robust Object Detection	DWD	IBN-Net	https://arxiv.org/abs/1807.09441v3	mPC [AP50]	25.5
16k > Object Detection > Robust Object Detection	DWD	IterNorm	http://arxiv.org/abs/1904.03441v1	mPC [AP50]	23.4
16k > Object Detection > Robust Object Detection	COCO (Common Objects in Context)	Faster R-CNN with Stylized Training Data	https://arxiv.org/abs/1907.07484v2	mPC [AP]	20.4
16k > Object Detection > Robust Object Detection	COCO (Common Objects in Context)	Faster R-CNN with Stylized Training Data	https://arxiv.org/abs/1907.07484v2	rPC [%]	58.9
16k > Object Detection > Robust Object Detection	COCO (Common Objects in Context)	Faster R-CNN	https://arxiv.org/abs/1907.07484v2	mPC [AP]	18.2
16k > Object Detection > Robust Object Detection	COCO (Common Objects in Context)	Faster R-CNN	https://arxiv.org/abs/1907.07484v2	rPC [%]	50.2
16k > Object Detection > Zero-Shot Object Detection	LVIS v1.0 minival	CP-DETR-Pro(without LVIS data)	https://arxiv.org/abs/2412.09799v1	AP	58.2
16k > Object Detection > Zero-Shot Object Detection	LVIS v1.0 minival	Grounding DINO 1.6 Pro (without LVIS data)	https://arxiv.org/abs/2405.10300v2	AP	57.7
16k > Object Detection > Zero-Shot Object Detection	LVIS v1.0 minival	Grounding DINO 1.5 Pro (without LVIS data)	https://arxiv.org/abs/2405.10300v2	AP	55.7
16k > Object Detection > Zero-Shot Object Detection	LVIS v1.0 minival	OWLv2 (OWL-ST+FT)	https://arxiv.org/abs/2306.09683v3	AP	51.3
16k > Object Detection > Zero-Shot Object Detection	LVIS v1.0 minival	MQ-GLIP-L	https://arxiv.org/abs/2305.18980v2	AP	43.4
16k > Object Detection > Zero-Shot Object Detection	LVIS v1.0 minival	OV-DINO-T (without LVIS data, swin tiny)	https://arxiv.org/abs/2407.07844v2	AP	40.1
16k > Object Detection > Zero-Shot Object Detection	LVIS v1.0 minival	GLIP-L	https://arxiv.org/abs/2112.03857v2	AP	37.3
16k > Object Detection > Zero-Shot Object Detection	LVIS v1.0 minival	YOLO-World-L	https://arxiv.org/abs/2401.17270v3	AP	35.4
16k > Object Detection > Zero-Shot Object Detection	LVIS v1.0 minival	GroundingDINO-L	https://arxiv.org/abs/2303.05499v5	AP	33.9
16k > Object Detection > Zero-Shot Object Detection	LVIS v1.0 minival	MQ-GLIP-T	https://arxiv.org/abs/2305.18980v2	AP	30.4
16k > Object Detection > Zero-Shot Object Detection	LVIS v1.0 minival	MQ-GroundingDINO-T	https://arxiv.org/abs/2305.18980v2	AP	30.2
16k > Object Detection > Zero-Shot Object Detection	MSCOCO	Grounding DINO 1.6 Pro (without COCO data)	https://arxiv.org/abs/2405.10300v2	AP	55.4
16k > Object Detection > Zero-Shot Object Detection	MSCOCO	CP-DETR-Pro((without COCO data))	https://arxiv.org/abs/2412.09799v1	AP	55.4
16k > Object Detection > Zero-Shot Object Detection	MSCOCO	Grounding DINO 1.5 Pro (without COCO data)	https://arxiv.org/abs/2405.10300v2	AP	54.3
16k > Object Detection > Zero-Shot Object Detection	MSCOCO	Grounding DINO-L (without COCO data)	https://arxiv.org/abs/2303.05499v5	AP	52.5
16k > Object Detection > Zero-Shot Object Detection	MSCOCO	OV-DINO-T (without COCO data)	https://arxiv.org/abs/2407.07844v2	AP	50.6
16k > Object Detection > Zero-Shot Object Detection	MSCOCO	YOLO-World-L(without COCO data)	https://arxiv.org/abs/2401.17270v3	AP	45.1
16k > Object Detection > Zero-Shot Object Detection	MSCOCO	Object-Centric-OVD	https://arxiv.org/abs/2207.03482v3	AP	40.5
16k > Object Detection > Zero-Shot Object Detection	LVIS v1.0 val	CP-DETR-Pro(without LVIS data)	https://arxiv.org/abs/2412.09799v1	AP	51.6
16k > Object Detection > Zero-Shot Object Detection	LVIS v1.0 val	Grounding DINO 1.6 Pro (without LVIS data)	https://arxiv.org/abs/2405.10300v2	AP	51.1
16k > Object Detection > Zero-Shot Object Detection	LVIS v1.0 val	Grounding DINO 1.5 Pro (without LVIS data)	https://arxiv.org/abs/2405.10300v2	AP	47.7
16k > Object Detection > Zero-Shot Object Detection	LVIS v1.0 val	OWLv2 (OWL-ST+FT)	https://arxiv.org/abs/2306.09683v3	AP	47.0
16k > Object Detection > Zero-Shot Object Detection	LVIS v1.0 val	MQ-GLIP-L	https://arxiv.org/abs/2305.18980v2	AP	34.7
16k > Object Detection > Zero-Shot Object Detection	LVIS v1.0 val	OV-DINO-T (without LVIS data, swin tiny)	https://arxiv.org/abs/2407.07844v2	AP	32.9
16k > Object Detection > Zero-Shot Object Detection	LVIS v1.0 val	GLIP-L	https://arxiv.org/abs/2112.03857v2	AP	26.9
16k > Object Detection > Zero-Shot Object Detection	LVIS v1.0 val	MQ-GLIP-T	https://arxiv.org/abs/2305.18980v2	AP	22.6
16k > Object Detection > Zero-Shot Object Detection	LVIS v1.0 val	MQ-GroundingDINO-T	https://arxiv.org/abs/2305.18980v2	AP	22.1
16k > Object Detection > Zero-Shot Object Detection	ImageNet Detection	SUZOD	https://arxiv.org/abs/2010.09425v1	mAP	24.3
16k > Object Detection > Zero-Shot Object Detection	ODinW	CP-DETR-L Swin-L	https://arxiv.org/abs/2412.09799v1	Average Score	32.2
16k > Object Detection > Zero-Shot Object Detection	ODinW	Grounding DINO 1.5 Pro	https://arxiv.org/abs/2405.10300v2	Average Score	30.2
16k > Object Detection > Zero-Shot Object Detection	ODinW	Grounding DINO	https://arxiv.org/abs/2303.05499v5	Average Score	26.1
16k > Object Detection > Zero-Shot Object Detection	ODinW	MQ-GLIP-L	https://arxiv.org/abs/2305.18980v2	Average Score	23.9
16k > Object Detection > Zero-Shot Object Detection	ODinW	GLIP (Tiny A)	https://arxiv.org/abs/2204.08790v6	Average Score	11.4
16k > Object Detection > Zero-Shot Object Detection	MS-COCO	UniFa	https://www.sciencedirect.com/science/article/abs/pii/S0167865525000194	mAP	26.00
16k > Object Detection > Zero-Shot Object Detection	MS-COCO	UniFa	https://www.sciencedirect.com/science/article/abs/pii/S0167865525000194	Recall	69.10
16k > Object Detection > Zero-Shot Object Detection	MS-COCO	SeeDS	https://arxiv.org/abs/2310.04689v1	mAP	20.6
16k > Object Detection > Zero-Shot Object Detection	MS-COCO	SeeDS	https://arxiv.org/abs/2310.04689v1	Recall	64
16k > Object Detection > Zero-Shot Object Detection	MS-COCO	ZSD-SCR	https://arxiv.org/abs/2212.06097v1	mAP	20.10
16k > Object Detection > Zero-Shot Object Detection	MS-COCO	ZSD-SCR	https://arxiv.org/abs/2212.06097v1	Recall	65.10
16k > Object Detection > Zero-Shot Object Detection	MS-COCO	ZSD-RRFS	https://arxiv.org/abs/2201.00103v1	mAP	19.8
16k > Object Detection > Zero-Shot Object Detection	MS-COCO	ZSD-RRFS	https://arxiv.org/abs/2201.00103v1	Recall	62.3
16k > Object Detection > Zero-Shot Object Detection	MS-COCO	ContrastZSD	https://arxiv.org/abs/2109.06062v2	mAP	18.60
16k > Object Detection > Zero-Shot Object Detection	MS-COCO	ContrastZSD	https://arxiv.org/abs/2109.06062v2	Recall	59.50
16k > Object Detection > Zero-Shot Object Detection	MS-COCO	SUZOD	https://arxiv.org/abs/2010.09425v1	mAP	17.30
16k > Object Detection > Zero-Shot Object Detection	MS-COCO	SUZOD	https://arxiv.org/abs/2010.09425v1	Recall	61.40
16k > Object Detection > Zero-Shot Object Detection	MS-COCO	GRAN	https://ieeexplore.ieee.org/document/9706663	mAP	14.90
16k > Object Detection > Zero-Shot Object Detection	MS-COCO	GRAN	https://ieeexplore.ieee.org/document/9706663	Recall	62.70
16k > Object Detection > Zero-Shot Object Detection	MS-COCO	BLC	https://arxiv.org/abs/2010.04502v1	mAP	14.70
16k > Object Detection > Zero-Shot Object Detection	MS-COCO	BLC	https://arxiv.org/abs/2010.04502v1	Recall	54.68
16k > Object Detection > Zero-Shot Object Detection	MS-COCO	ZSD-Polarity Loss	https://arxiv.org/abs/1811.08982v3	mAP	12.62
16k > Object Detection > Zero-Shot Object Detection	MS-COCO	ZSD-Polarity Loss	https://arxiv.org/abs/1811.08982v3	Recall	43.56
16k > Object Detection > Zero-Shot Object Detection	PASCAL VOC'07	SeeDS	https://arxiv.org/abs/2310.04689v1	mAP	68.9
16k > Object Detection > Zero-Shot Object Detection	PASCAL VOC'07	RRFS-ZSD	https://arxiv.org/abs/2201.00103v1	mAP	65.50
16k > Object Detection > Zero-Shot Object Detection	PASCAL VOC'07	SUZOD	https://arxiv.org/abs/2010.09425v1	mAP	64.9
16k > Object Detection > Zero-Shot Object Detection	PASCAL VOC'07	ZSD-SCR	https://arxiv.org/abs/2212.06097v1	mAP	62.70
16k > Object Detection > Zero-Shot Object Detection	PASCAL VOC'07	PL	https://arxiv.org/abs/1811.08982v3	mAP	62.10
16k > Object Detection > Zero-Shot Object Detection	PASCAL VOC'07	BLC	https://arxiv.org/abs/2010.04502v1	mAP	55.20
16k > Object Detection > Zero-Shot Object Detection	PASCAL VOC'07	HRE	http://arxiv.org/abs/1805.06157v2	mAP	54.20
16k > Object Detection > Camouflaged Object Segmentation	MoCA-Mask	ZS-VCOS	https://www.researchgate.net/publication/390322532_ZS-VCOS_Zero-Shot_Outperforms_Supervised_Video_Camouflaged_Object_Segmentation_with_Zero-Shot_Method	S-measure	0.776
16k > Object Detection > Camouflaged Object Segmentation	MoCA-Mask	ZS-VCOS	https://www.researchgate.net/publication/390322532_ZS-VCOS_Zero-Shot_Outperforms_Supervised_Video_Camouflaged_Object_Segmentation_with_Zero-Shot_Method	weighted F-measure	0.628
16k > Object Detection > Camouflaged Object Segmentation	MoCA-Mask	ZS-VCOS	https://www.researchgate.net/publication/390322532_ZS-VCOS_Zero-Shot_Outperforms_Supervised_Video_Camouflaged_Object_Segmentation_with_Zero-Shot_Method	MAE	0.008
16k > Object Detection > Camouflaged Object Segmentation	MoCA-Mask	ZS-VCOS	https://www.researchgate.net/publication/390322532_ZS-VCOS_Zero-Shot_Outperforms_Supervised_Video_Camouflaged_Object_Segmentation_with_Zero-Shot_Method	mDice	0.648
16k > Object Detection > Camouflaged Object Segmentation	MoCA-Mask	ZS-VCOS	https://www.researchgate.net/publication/390322532_ZS-VCOS_Zero-Shot_Outperforms_Supervised_Video_Camouflaged_Object_Segmentation_with_Zero-Shot_Method	mIoU	0.550
16k > Object Detection > Camouflaged Object Segmentation	MoCA-Mask	CamoSAM2	https://arxiv.org/abs/2504.00375v1	S-measure	0.765
16k > Object Detection > Camouflaged Object Segmentation	MoCA-Mask	CamoSAM2	https://arxiv.org/abs/2504.00375v1	weighted F-measure	0.607
16k > Object Detection > Camouflaged Object Segmentation	MoCA-Mask	CamoSAM2	https://arxiv.org/abs/2504.00375v1	MAE	0.007
16k > Object Detection > Camouflaged Object Segmentation	MoCA-Mask	CamoSAM2	https://arxiv.org/abs/2504.00375v1	mDice	0.62
16k > Object Detection > Camouflaged Object Segmentation	MoCA-Mask	CamoSAM2	https://arxiv.org/abs/2504.00375v1	mIoU	0.542

16k > Object Detection > Robust Object Detection

Cityscapes

GDD (SD-1.5 Backbone)

https://arxiv.org/abs/2503.02101v1

mPC [AP]

24.1

16k > Object Detection > Robust Object Detection

Cityscapes

PhysAug

https://arxiv.org/abs/2412.11807v1

mPC [AP]

22.6

16k > Object Detection > Robust Object Detection

Cityscapes

FGT (R101, Faster RCNN)

https://arxiv.org/abs/2506.21042v1

mPC [AP]

22.1

16k > Object Detection > Robust Object Detection

Cityscapes

OA-DG

https://arxiv.org/abs/2312.12133v1

mPC [AP]

21.8

16k > Object Detection > Robust Object Detection

Cityscapes

GDD (R101, Faster RCNN)

https://arxiv.org/abs/2503.02101v1

mPC [AP]

21.3

16k > Object Detection > Robust Object Detection

Cityscapes

OA-Mix

https://arxiv.org/abs/2312.12133v1

mPC [AP]

20.8

16k > Object Detection > Robust Object Detection

Cityscapes

AugMix

https://arxiv.org/abs/1912.02781v2

mPC [AP]

18.1

16k > Object Detection > Robust Object Detection

Cityscapes

Stylized Training Data

https://arxiv.org/abs/1907.07484v2

mPC [AP]

17.2

16k > Object Detection > Robust Object Detection

Cityscapes

Photometric distortion

http://arxiv.org/abs/1804.02767v1

mPC [AP]

16.9

16k > Object Detection > Robust Object Detection

Cityscapes

AutoAug-det

https://arxiv.org/abs/1906.11172v1

mPC [AP]

15.8

16k > Object Detection > Robust Object Detection

Cityscapes

Cutout

http://arxiv.org/abs/1708.04896v2

mPC [AP]

15.7

16k > Object Detection > Robust Object Detection

Cityscapes

Baseline

http://arxiv.org/abs/1506.01497v3

mPC [AP]

15.4

16k > Object Detection > Robust Object Detection

Cityscapes test

Faster R-CNN with Stylized Training Data

https://arxiv.org/abs/1907.07484v2

mPC [AP]

17.2

16k > Object Detection > Robust Object Detection

Cityscapes test

Faster R-CNN with Stylized Training Data

https://arxiv.org/abs/1907.07484v2

rPC [%]

47.4

16k > Object Detection > Robust Object Detection

Cityscapes test

Faster R-CNN

https://arxiv.org/abs/1907.07484v2

mPC [AP]

12.2

16k > Object Detection > Robust Object Detection

Cityscapes test

Faster R-CNN

https://arxiv.org/abs/1907.07484v2

rPC [%]

33.4

16k > Object Detection > Robust Object Detection

DWD

GDD (SD-1.5 Backbone)

https://arxiv.org/abs/2503.02101v1

mPC [AP50]

40.5

16k > Object Detection > Robust Object Detection

DWD

GDD (R101, Faster RCNN)

https://arxiv.org/abs/2503.02101v1

mPC [AP50]

38.1

16k > Object Detection > Robust Object Detection

DWD

PhysAug

https://arxiv.org/abs/2412.11807v1

mPC [AP50]

37.5

16k > Object Detection > Robust Object Detection

DWD

VLTDet

https://arxiv.org/abs/2312.02021v4

mPC [AP50]

36.9

16k > Object Detection > Robust Object Detection

DWD

OA-DG

https://arxiv.org/abs/2312.12133v1

mPC [AP50]

31.8

16k > Object Detection > Robust Object Detection

DWD

SRCD

https://arxiv.org/abs/2307.01750v2

mPC [AP50]

29.6

16k > Object Detection > Robust Object Detection

DWD

CDSD

http://openaccess.thecvf.com//content/CVPR2022/html/Wu_Single-Domain_Generalized_Object_Detection_in_Urban_Scene_via_Cyclic-Disentangled_Self-Distillation_CVPR_2022_paper.html

mPC [AP50]

28.7

16k > Object Detection > Robust Object Detection

DWD

SHADE

https://arxiv.org/abs/2204.02548v2

mPC [AP50]

28.4

16k > Object Detection > Robust Object Detection

DWD

ISW

https://arxiv.org/abs/2103.15597v2

mPC [AP50]

26.3

16k > Object Detection > Robust Object Detection

DWD

SW

https://arxiv.org/abs/1904.09739v4

mPC [AP50]

26.1

16k > Object Detection > Robust Object Detection

DWD

IBN-Net

https://arxiv.org/abs/1807.09441v3

mPC [AP50]

25.5

16k > Object Detection > Robust Object Detection

DWD

IterNorm

http://arxiv.org/abs/1904.03441v1

mPC [AP50]

23.4

16k > Object Detection > Robust Object Detection

COCO (Common Objects in Context)

Faster R-CNN with Stylized Training Data

https://arxiv.org/abs/1907.07484v2

mPC [AP]

20.4

16k > Object Detection > Robust Object Detection

COCO (Common Objects in Context)

Faster R-CNN with Stylized Training Data

https://arxiv.org/abs/1907.07484v2

rPC [%]

58.9

16k > Object Detection > Robust Object Detection

COCO (Common Objects in Context)

Faster R-CNN

https://arxiv.org/abs/1907.07484v2

mPC [AP]

18.2

16k > Object Detection > Robust Object Detection

COCO (Common Objects in Context)

Faster R-CNN

https://arxiv.org/abs/1907.07484v2

rPC [%]

50.2