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
|
MoCA-Mask
|
ZoomNeXt-PVTv2-B5
|
https://arxiv.org/abs/2310.20208v4
|
S-measure
|
0.734
|
16k > Object Detection > Camouflaged Object Segmentation
|
MoCA-Mask
|
ZoomNeXt-PVTv2-B5
|
https://arxiv.org/abs/2310.20208v4
|
weighted F-measure
|
0.476
|
16k > Object Detection > Camouflaged Object Segmentation
|
MoCA-Mask
|
ZoomNeXt-PVTv2-B5
|
https://arxiv.org/abs/2310.20208v4
|
MAE
|
0.010
|
16k > Object Detection > Camouflaged Object Segmentation
|
MoCA-Mask
|
ZoomNeXt-PVTv2-B5
|
https://arxiv.org/abs/2310.20208v4
|
mDice
|
0.497
|
16k > Object Detection > Camouflaged Object Segmentation
|
MoCA-Mask
|
ZoomNeXt-PVTv2-B5
|
https://arxiv.org/abs/2310.20208v4
|
mIoU
|
0.422
|
16k > Object Detection > Camouflaged Object Segmentation
|
MoCA-Mask
|
STL-Net-LT-PVTv2-B5
|
https://arxiv.org/abs/2203.07363v2
|
S-measure
|
0.631
|
16k > Object Detection > Camouflaged Object Segmentation
|
MoCA-Mask
|
STL-Net-LT-PVTv2-B5
|
https://arxiv.org/abs/2203.07363v2
|
weighted F-measure
|
0.311
|
16k > Object Detection > Camouflaged Object Segmentation
|
MoCA-Mask
|
STL-Net-LT-PVTv2-B5
|
https://arxiv.org/abs/2203.07363v2
|
MAE
|
0.027
|
16k > Object Detection > Camouflaged Object Segmentation
|
MoCA-Mask
|
STL-Net-LT-PVTv2-B5
|
https://arxiv.org/abs/2203.07363v2
|
mDice
|
0.360
|
16k > Object Detection > Camouflaged Object Segmentation
|
MoCA-Mask
|
STL-Net-LT-PVTv2-B5
|
https://arxiv.org/abs/2203.07363v2
|
mIoU
|
0.272
|
16k > Object Detection > Camouflaged Object Segmentation
|
CHAMELEON
|
BiRefNet
|
https://arxiv.org/abs/2401.03407v6
|
S-measure
|
0.932
|
16k > Object Detection > Camouflaged Object Segmentation
|
CHAMELEON
|
BiRefNet
|
https://arxiv.org/abs/2401.03407v6
|
weighted F-measure
|
0.914
|
16k > Object Detection > Camouflaged Object Segmentation
|
CHAMELEON
|
BiRefNet
|
https://arxiv.org/abs/2401.03407v6
|
MAE
|
0.015
|
16k > Object Detection > Camouflaged Object Segmentation
|
CHAMELEON
|
ZoomNeXt-PVTv2-B4
|
https://arxiv.org/abs/2310.20208v4
|
S-measure
|
0.925
|
16k > Object Detection > Camouflaged Object Segmentation
|
CHAMELEON
|
ZoomNeXt-PVTv2-B4
|
https://arxiv.org/abs/2310.20208v4
|
weighted F-measure
|
0.897
|
16k > Object Detection > Camouflaged Object Segmentation
|
CHAMELEON
|
ZoomNeXt-PVTv2-B4
|
https://arxiv.org/abs/2310.20208v4
|
MAE
|
0.016
|
16k > Object Detection > Camouflaged Object Segmentation
|
CHAMELEON
|
ZoomNeXt-PVTv2-B5
|
https://arxiv.org/abs/2310.20208v4
|
S-measure
|
0.924
|
16k > Object Detection > Camouflaged Object Segmentation
|
CHAMELEON
|
ZoomNeXt-PVTv2-B5
|
https://arxiv.org/abs/2310.20208v4
|
weighted F-measure
|
0.885
|
16k > Object Detection > Camouflaged Object Segmentation
|
CHAMELEON
|
ZoomNeXt-PVTv2-B5
|
https://arxiv.org/abs/2310.20208v4
|
MAE
|
0.018
|
16k > Object Detection > Camouflaged Object Segmentation
|
CHAMELEON
|
FOCUS
|
https://arxiv.org/abs/2501.05238v1
|
S-measure
|
0.922
|
16k > Object Detection > Camouflaged Object Segmentation
|
CHAMELEON
|
FOCUS
|
https://arxiv.org/abs/2501.05238v1
|
weighted F-measure
|
0.908
|
16k > Object Detection > Camouflaged Object Segmentation
|
CHAMELEON
|
FOCUS
|
https://arxiv.org/abs/2501.05238v1
|
MAE
|
0.017
|
16k > Object Detection > Camouflaged Object Segmentation
|
CHAMELEON
|
ZoomNeXt-ResNet-50
|
https://arxiv.org/abs/2310.20208v4
|
S-measure
|
0.908
|
16k > Object Detection > Camouflaged Object Segmentation
|
CHAMELEON
|
ZoomNeXt-ResNet-50
|
https://arxiv.org/abs/2310.20208v4
|
weighted F-measure
|
0.858
|
16k > Object Detection > Camouflaged Object Segmentation
|
CHAMELEON
|
ZoomNeXt-ResNet-50
|
https://arxiv.org/abs/2310.20208v4
|
MAE
|
0.021
|
16k > Object Detection > Camouflaged Object Segmentation
|
CHAMELEON
|
SINetV2-Res2Net-50
|
https://arxiv.org/abs/2102.10274v2
|
S-measure
|
0.888
|
16k > Object Detection > Camouflaged Object Segmentation
|
CHAMELEON
|
SINetV2-Res2Net-50
|
https://arxiv.org/abs/2102.10274v2
|
weighted F-measure
|
0.816
|
16k > Object Detection > Camouflaged Object Segmentation
|
CHAMELEON
|
SINetV2-Res2Net-50
|
https://arxiv.org/abs/2102.10274v2
|
MAE
|
0.030
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
BiRefNet
|
https://arxiv.org/abs/2401.03407v6
|
MAE
|
0.014
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
BiRefNet
|
https://arxiv.org/abs/2401.03407v6
|
Weighted F-Measure
|
0.874
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
BiRefNet
|
https://arxiv.org/abs/2401.03407v6
|
S-Measure
|
0.913
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
FOCUS
|
https://arxiv.org/abs/2501.05238v1
|
MAE
|
0.013
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
FOCUS
|
https://arxiv.org/abs/2501.05238v1
|
Weighted F-Measure
|
0.883
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
FOCUS
|
https://arxiv.org/abs/2501.05238v1
|
S-Measure
|
0.910
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
ZoomNeXt-PVTv2-B4
|
https://arxiv.org/abs/2310.20208v4
|
MAE
|
0.017
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
ZoomNeXt-PVTv2-B4
|
https://arxiv.org/abs/2310.20208v4
|
Weighted F-Measure
|
0.838
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
ZoomNeXt-PVTv2-B4
|
https://arxiv.org/abs/2310.20208v4
|
S-Measure
|
0.898
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
ZoomNeXt-PVTv2-B5
|
https://arxiv.org/abs/2310.20208v4
|
MAE
|
0.018
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
ZoomNeXt-PVTv2-B5
|
https://arxiv.org/abs/2310.20208v4
|
Weighted F-Measure
|
0.827
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
ZoomNeXt-PVTv2-B5
|
https://arxiv.org/abs/2310.20208v4
|
S-Measure
|
0.898
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
ZoomNeXt-ResNet-50
|
https://arxiv.org/abs/2310.20208v4
|
MAE
|
0.026
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
ZoomNeXt-ResNet-50
|
https://arxiv.org/abs/2310.20208v4
|
Weighted F-Measure
|
0.768
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
ZoomNeXt-ResNet-50
|
https://arxiv.org/abs/2310.20208v4
|
S-Measure
|
0.861
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
EVPv2
|
https://arxiv.org/abs/2305.18476v1
|
MAE
|
0.029
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
EVPv2
|
https://arxiv.org/abs/2305.18476v1
|
Weighted F-Measure
|
0.746
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
EVPv2
|
https://arxiv.org/abs/2305.18476v1
|
S-Measure
|
0.843
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
EVPv1
|
https://arxiv.org/abs/2303.10883v2
|
MAE
|
0.029
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
EVPv1
|
https://arxiv.org/abs/2303.10883v2
|
Weighted F-Measure
|
0.742
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
EVPv1
|
https://arxiv.org/abs/2303.10883v2
|
S-Measure
|
0.843
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
SINet*
|
https://arxiv.org/abs/2102.10274v2
|
MAE
|
0.051
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
SINet*
|
https://arxiv.org/abs/2102.10274v2
|
Weighted F-Measure
|
0.551
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
SINet*
|
https://arxiv.org/abs/2102.10274v2
|
S-Measure
|
0.771
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
CPD
|
http://arxiv.org/abs/1904.08739v1
|
MAE
|
0.059
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
CPD
|
http://arxiv.org/abs/1904.08739v1
|
Weighted F-Measure
|
0.508
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
CPD
|
http://arxiv.org/abs/1904.08739v1
|
S-Measure
|
0.747
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
EGNet
|
http://openaccess.thecvf.com/content_ICCV_2019/html/Zhao_EGNet_Edge_Guidance_Network_for_Salient_Object_Detection_ICCV_2019_paper.html
|
MAE
|
0.056
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
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
|
0.509
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
EGNet
|
http://openaccess.thecvf.com/content_ICCV_2019/html/Zhao_EGNet_Edge_Guidance_Network_for_Salient_Object_Detection_ICCV_2019_paper.html
|
S-Measure
|
0.737
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
SINet
|
http://openaccess.thecvf.com/content_CVPR_2020/html/Fan_Camouflaged_Object_Detection_CVPR_2020_paper.html
|
MAE
|
0.092
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
SINet
|
http://openaccess.thecvf.com/content_CVPR_2020/html/Fan_Camouflaged_Object_Detection_CVPR_2020_paper.html
|
Weighted F-Measure
|
0.352
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
SINet
|
http://openaccess.thecvf.com/content_CVPR_2020/html/Fan_Camouflaged_Object_Detection_CVPR_2020_paper.html
|
S-Measure
|
0.685
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
BASNet
|
http://openaccess.thecvf.com/content_CVPR_2019/html/Qin_BASNet_Boundary-Aware_Salient_Object_Detection_CVPR_2019_paper.html
|
MAE
|
0.092
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
BASNet
|
http://openaccess.thecvf.com/content_CVPR_2019/html/Qin_BASNet_Boundary-Aware_Salient_Object_Detection_CVPR_2019_paper.html
|
Weighted F-Measure
|
0.352
|
16k > Object Detection > Camouflaged Object Segmentation
|
COD
|
BASNet
|
http://openaccess.thecvf.com/content_CVPR_2019/html/Qin_BASNet_Boundary-Aware_Salient_Object_Detection_CVPR_2019_paper.html
|
S-Measure
|
0.685
|
16k > Object Detection > Camouflaged Object Segmentation
|
PCOD_1200
|
CMX
|
https://arxiv.org/abs/2203.04838v5
|
S-Measure
|
0.922
|
16k > Object Detection > Camouflaged Object Segmentation
|
PCOD_1200
|
PGSNet
|
http://openaccess.thecvf.com//content/CVPR2022/html/Mei_Glass_Segmentation_Using_Intensity_and_Spectral_Polarization_Cues_CVPR_2022_paper.html
|
S-Measure
|
0.916
|
16k > Object Detection > Camouflaged Object Segmentation
|
PCOD_1200
|
PraNet
|
https://arxiv.org/abs/2006.11392v4
|
S-Measure
|
0.904
|
16k > Object Detection > Camouflaged Object Segmentation
|
PCOD_1200
|
ZoomNet
|
https://arxiv.org/abs/2203.02688v1
|
S-Measure
|
0.897
|
16k > Object Detection > Camouflaged Object Segmentation
|
PCOD_1200
|
C2FNet-V2
|
https://arxiv.org/abs/2207.13362v1
|
S-Measure
|
0.895
|
16k > Object Detection > Camouflaged Object Segmentation
|
PCOD_1200
|
C2FNet
|
https://arxiv.org/abs/2105.12555v1
|
S-Measure
|
0.893
|
16k > Object Detection > Camouflaged Object Segmentation
|
PCOD_1200
|
LSR
|
https://arxiv.org/abs/2103.04011v2
|
S-Measure
|
0.888
|
16k > Object Detection > Camouflaged Object Segmentation
|
PCOD_1200
|
F3Net
|
https://arxiv.org/abs/1911.11445v1
|
S-Measure
|
0.885
|
16k > Object Detection > Camouflaged Object Segmentation
|
PCOD_1200
|
SINet-V2
|
https://arxiv.org/abs/2102.10274v2
|
S-Measure
|
0.882
|
16k > Object Detection > Camouflaged Object Segmentation
|
PCOD_1200
|
PFNet
|
https://arxiv.org/abs/2104.10475v1
|
S-Measure
|
0.873
|
16k > Object Detection > Camouflaged Object Segmentation
|
PCOD_1200
|
SINet-V1
|
http://openaccess.thecvf.com/content_CVPR_2020/html/Fan_Camouflaged_Object_Detection_CVPR_2020_paper.html
|
S-Measure
|
0.862
|
16k > Object Detection > Camouflaged Object Segmentation
|
PCOD_1200
|
EGNet
|
http://openaccess.thecvf.com/content_ICCV_2019/html/Zhao_EGNet_Edge_Guidance_Network_for_Salient_Object_Detection_ICCV_2019_paper.html
|
S-Measure
|
0.861
|
16k > Object Detection > Camouflaged Object Segmentation
|
PCOD_1200
|
CPD
|
http://arxiv.org/abs/1904.08739v1
|
S-Measure
|
0.855
|
16k > Object Detection > Camouflaged Object Segmentation
|
PCOD_1200
|
BASNet
|
http://openaccess.thecvf.com/content_CVPR_2019/html/Qin_BASNet_Boundary-Aware_Salient_Object_Detection_CVPR_2019_paper.html
|
S-Measure
|
0.837
|
16k > Object Detection > Camouflaged Object Segmentation
|
PCOD_1200
|
ERRNet
|
https://arxiv.org/abs/2111.03216v1
|
S-Measure
|
0.833
|
16k > Object Detection > Camouflaged Object Segmentation
|
PCOD_1200
|
UNet++
|
http://arxiv.org/abs/1807.10165v1
|
S-Measure
|
0.801
|
16k > Object Detection > Camouflaged Object Segmentation
|
CAMO
|
FOCUS
|
https://arxiv.org/abs/2501.05238v1
|
MAE
|
0.025
|
16k > Object Detection > Camouflaged Object Segmentation
|
CAMO
|
FOCUS
|
https://arxiv.org/abs/2501.05238v1
|
Weighted F-Measure
|
0.904
|
16k > Object Detection > Camouflaged Object Segmentation
|
CAMO
|
FOCUS
|
https://arxiv.org/abs/2501.05238v1
|
S-Measure
|
0.912
|
16k > Object Detection > Camouflaged Object Segmentation
|
CAMO
|
BiRefNet
|
https://arxiv.org/abs/2401.03407v6
|
MAE
|
0.030
|
16k > Object Detection > Camouflaged Object Segmentation
|
CAMO
|
BiRefNet
|
https://arxiv.org/abs/2401.03407v6
|
Weighted F-Measure
|
0.890
|
16k > Object Detection > Camouflaged Object Segmentation
|
CAMO
|
BiRefNet
|
https://arxiv.org/abs/2401.03407v6
|
S-Measure
|
0.904
|
16k > Object Detection > Camouflaged Object Segmentation
|
CAMO
|
ZoomNeXt-PVTv2-B5
|
https://arxiv.org/abs/2310.20208v4
|
MAE
|
0.041
|
16k > Object Detection > Camouflaged Object Segmentation
|
CAMO
|
ZoomNeXt-PVTv2-B5
|
https://arxiv.org/abs/2310.20208v4
|
Weighted F-Measure
|
0.857
|
16k > Object Detection > Camouflaged Object Segmentation
|
CAMO
|
ZoomNeXt-PVTv2-B5
|
https://arxiv.org/abs/2310.20208v4
|
S-Measure
|
0.889
|
16k > Object Detection > Camouflaged Object Segmentation
|
CAMO
|
ZoomNeXt-PVTv2-B4
|
https://arxiv.org/abs/2310.20208v4
|
MAE
|
0.04
|
16k > Object Detection > Camouflaged Object Segmentation
|
CAMO
|
ZoomNeXt-PVTv2-B4
|
https://arxiv.org/abs/2310.20208v4
|
Weighted F-Measure
|
0.859
|
16k > Object Detection > Camouflaged Object Segmentation
|
CAMO
|
ZoomNeXt-PVTv2-B4
|
https://arxiv.org/abs/2310.20208v4
|
S-Measure
|
0.888
|
16k > Object Detection > Camouflaged Object Segmentation
|
CAMO
|
EVPv2
|
https://arxiv.org/abs/2305.18476v1
|
MAE
|
0.058
|
16k > Object Detection > Camouflaged Object Segmentation
|
CAMO
|
EVPv2
|
https://arxiv.org/abs/2305.18476v1
|
Weighted F-Measure
|
0.786
|
16k > Object Detection > Camouflaged Object Segmentation
|
CAMO
|
EVPv2
|
https://arxiv.org/abs/2305.18476v1
|
S-Measure
|
0.848
|
16k > Object Detection > Camouflaged Object Segmentation
|
CAMO
|
EVPv1
|
https://arxiv.org/abs/2303.10883v2
|
MAE
|
0.059
|
16k > Object Detection > Camouflaged Object Segmentation
|
CAMO
|
EVPv1
|
https://arxiv.org/abs/2303.10883v2
|
Weighted F-Measure
|
0.777
|
16k > Object Detection > Camouflaged Object Segmentation
|
CAMO
|
EVPv1
|
https://arxiv.org/abs/2303.10883v2
|
S-Measure
|
0.846
|
16k > Object Detection > Camouflaged Object Segmentation
|
CAMO
|
ZoomNeXt-ResNet-50
|
https://arxiv.org/abs/2310.20208v4
|
MAE
|
0.065
|
16k > Object Detection > Camouflaged Object Segmentation
|
CAMO
|
ZoomNeXt-ResNet-50
|
https://arxiv.org/abs/2310.20208v4
|
Weighted F-Measure
|
0.774
|
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