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 > Weakly Supervised Object Detection	PASCAL VOC 2007	ZLDN-L	http://arxiv.org/abs/1804.09466v1	MAP	47.6
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2007	MELM	http://arxiv.org/abs/1902.06057v1	MAP	47.3
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2007	OICR-Ens + FRCNN	http://arxiv.org/abs/1704.00138v1	MAP	47.0
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2007	OICR + W-RPN	http://openaccess.thecvf.com/content_CVPR_2019/html/Singh_You_Reap_What_You_Sow_Using_Videos_to_Generate_High_CVPR_2019_paper.html	MAP	46.9
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2007	SegAgg-Adapt	https://www.sciencedirect.com/science/article/pii/S0166361519307559	MAP	46.2
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2007	VGPMIL	http://openaccess.thecvf.com/content_cvpr_2017/html/Haussmann_Variational_Bayesian_Multiple_CVPR_2017_paper.html	MAP	46.1
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2007	WebRelETH	http://arxiv.org/abs/1707.08721v2	MAP	46.0
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2007	SegAgg	http://bmvc2018.org/contents/papers/0557.pdf	MAP	43.9
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2007	Deep Self-Taught Learning	http://arxiv.org/abs/1704.05188v2	MAP	43.7
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2007	WCCN	http://arxiv.org/abs/1611.08258v1	MAP	42.8
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2007	MSLPD	http://arxiv.org/abs/1706.08249v8	MAP	41.7
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2007	Our scheme	https://arxiv.org/1910.02101	MAP	40.9
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2007	WSDDN-Ens	http://arxiv.org/abs/1511.02853v4	MAP	39.3
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2007	Self-Paced Learning	http://arxiv.org/abs/1605.07651v3	MAP	38.11
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2007	NSOD	https://arxiv.org/abs/1912.00384v6	MAP	38.0
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2007	WSDDN + context	http://arxiv.org/abs/1609.04331v1	MAP	36.3
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2007	Self-paced curriculum learning	http://arxiv.org/abs/1703.01290v1	MAP	31.3
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2007	Cover + SLSVM	http://arxiv.org/abs/1403.1024v4	MAP	22.7
16k > Object Detection > Weakly Supervised Object Detection	COCO (Common Objects in Context)	MSLPD	http://arxiv.org/abs/1706.08249v8	MAP	56.6
16k > Object Detection > Weakly Supervised Object Detection	COCO (Common Objects in Context)	SPNs	http://arxiv.org/abs/1709.01829v1	MAP	55.3
16k > Object Detection > Weakly Supervised Object Detection	COCO (Common Objects in Context)	WILDCAT	http://openaccess.thecvf.com/content_cvpr_2017/html/Durand_WILDCAT_Weakly_Supervised_CVPR_2017_paper.html	MAP	53.4
16k > Object Detection > Weakly Supervised Object Detection	COCO (Common Objects in Context)	Deep Feature Maps	http://arxiv.org/abs/1603.00489v2	MAP	47.9
16k > Object Detection > Weakly Supervised Object Detection	COCO (Common Objects in Context)	ProNet	http://arxiv.org/abs/1511.03776v3	MAP	43.5
16k > Object Detection > Weakly Supervised Object Detection	IconArt	MI_Net [wang_revisiting_2018]	https://arxiv.org/abs/2008.01178v5	MAP	15.1
16k > Object Detection > Weakly Supervised Object Detection	IconArt	MI-max-C	http://arxiv.org/abs/1810.02569v1	MAP	13.2
16k > Object Detection > Weakly Supervised Object Detection	MS-COCO-2017	OD-WSCL	https://arxiv.org/abs/2208.07576v2	AP	13.6
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2012 test	WeakSAM-MIST-DINO (with SAM)	https://arxiv.org/abs/2402.14812v2	MAP	70.2
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2012 test	WeakSAM-MIST-Faster RCNN (with SAM)	https://arxiv.org/abs/2402.14812v2	MAP	69.2
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2012 test	WeakSAM-MIST (with SAM)	https://arxiv.org/abs/2402.14812v2	MAP	66.9
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2012 test	WeakSAM-OICR-DINO (with SAM)	https://arxiv.org/abs/2402.14812v2	MAP	63.7
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2012 test	WeakSAM-OICR-Faster RCNN (with SAM)	https://arxiv.org/abs/2402.14812v2	MAP	62.9
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2012 test	WeakSAM-OICR (with SAM)	https://arxiv.org/abs/2402.14812v2	MAP	58.4
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2012 test	OD-WSCL	https://arxiv.org/abs/2208.07576v2	MAP	54.6
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2012 test	CASD(VGG16)	https://arxiv.org/abs/2010.12023v1	MAP	53.6
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2012 test	wetectron(single-model)	https://arxiv.org/abs/2004.04725v3	MAP	52.1
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2012 test	C-MIDN+FRCNN	http://openaccess.thecvf.com/content_ICCV_2019/html/Gao_C-MIDN_Coupled_Multiple_Instance_Detection_Network_With_Segmentation_Guidance_for_ICCV_2019_paper.html	MAP	50.3
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2012 test	Pred Net (Ens)	http://arxiv.org/abs/1811.10016v1	MAP	49.5
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2012 test	Our-Ens	https://arxiv.org/abs/1911.12148v1	MAP	49.5
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2012 test	Ours + FRCNN	https://arxiv.org/abs/1908.03792v1	MAP	48.1
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2012 test	Ours+FRCNN	https://arxiv.org/abs/1906.06023v1	MAP	48.0
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2012 test	WSD+PGE+PGA+FSD2	http://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_W2F_A_Weakly-Supervised_CVPR_2018_paper.html	MAP	47.8
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2012 test	WSOD2	https://arxiv.org/abs/1909.04972	MAP	47.2
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2012 test	C-MIL	http://arxiv.org/abs/1904.05647v1	MAP	46.7
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2012 test	OIM+IR+FRCNN	https://arxiv.org/abs/2002.01087v1	MAP	46.4
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2012 test	WS-JDS FRCNN	http://openaccess.thecvf.com/content_CVPR_2019/html/Shen_Cyclic_Guidance_for_Weakly_Supervised_Joint_Detection_and_Segmentation_CVPR_2019_paper.html	MAP	46.1
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2012 test	PCL-OB-G-Ens + FRCNN	http://arxiv.org/abs/1807.03342v2	MAP	44.2
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2012 test	OICR + W-RPN	http://openaccess.thecvf.com/content_CVPR_2019/html/Singh_You_Reap_What_You_Sow_Using_Videos_to_Generate_High_CVPR_2019_paper.html	MAP	43.2
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2012 test	ZLDN-L	http://arxiv.org/abs/1804.09466v1	MAP	42.9
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2012 test	WebRelETH	http://arxiv.org/abs/1707.08721v2	MAP	42.8
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2012 test	OICR-Ens + FRCNN	http://arxiv.org/abs/1704.00138v1	MAP	42.5
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2012 test	MELM	http://arxiv.org/abs/1902.06057v1	MAP	42.4
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2012 test	Deep Self-Taught Learning	http://arxiv.org/abs/1704.05188v2	MAP	38.3
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2012 test	WCCN	http://arxiv.org/abs/1611.08258v1	MAP	37.9
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2012 test	LM-VGPMIL	http://openaccess.thecvf.com/content_cvpr_2017/html/Haussmann_Variational_Bayesian_Multiple_CVPR_2017_paper.html	MAP	37.8
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2012 test	NSOD	https://arxiv.org/abs/1912.00384v6	MAP	36.6
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2012 test	MSLPD	http://arxiv.org/abs/1706.08249v8	MAP	35.4
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2012 test	WSDDN + context	http://arxiv.org/abs/1609.04331v1	MAP	35.3
16k > Object Detection > Weakly Supervised Object Detection	PASCAL VOC 2012 test	Our scheme	https://arxiv.org/1910.02101	MAP	35.2
16k > Object Detection > Weakly Supervised Object Detection	Charades	Spatial Prior	http://arxiv.org/abs/1904.01665v1	MAP	10.03
16k > Object Detection > Weakly Supervised Object Detection	Charades	PCL	http://arxiv.org/abs/1807.03342v2	MAP	2.83
16k > Object Detection > Weakly Supervised Object Detection	Charades	TD-LSTM	http://arxiv.org/abs/1708.00666v1	MAP	1.98
16k > Object Detection > Weakly Supervised Object Detection	Charades	ContextLocNet	http://arxiv.org/abs/1609.04331v1	MAP	1.12
16k > Object Detection > Weakly Supervised Object Detection	Charades	R*CNN	http://arxiv.org/abs/1505.01197v3	MAP	0.99
16k > Object Detection > Weakly Supervised Object Detection	Charades	WSDDN	http://arxiv.org/abs/1511.02853v4	MAP	0.65
16k > Object Detection > Weakly Supervised Object Detection	Watercolor2k	TADP	https://arxiv.org/abs/2310.00031v3	MAP	72.2
16k > Object Detection > Weakly Supervised Object Detection	Watercolor2k	DASS-Detector (YOLOX Tiny)	https://arxiv.org/abs/2211.10641v2	MAP	71.53
16k > Object Detection > Weakly Supervised Object Detection	Watercolor2k	H2FA R-CNN (+extra)	http://openaccess.thecvf.com//content/CVPR2022/html/Xu_H2FA_R-CNN_Holistic_and_Hierarchical_Feature_Alignment_for_Cross-Domain_Weakly_CVPR_2022_paper.html	MAP	62.6
16k > Object Detection > Weakly Supervised Object Detection	Watercolor2k	H2FA R-CNN	http://openaccess.thecvf.com//content/CVPR2022/html/Xu_H2FA_R-CNN_Holistic_and_Hierarchical_Feature_Alignment_for_Cross-Domain_Weakly_CVPR_2022_paper.html	MAP	59.9
16k > Object Detection > Weakly Supervised Object Detection	Watercolor2k	DT+PL (+extra)	http://arxiv.org/abs/1803.11365v1	MAP	59.1
16k > Object Detection > Weakly Supervised Object Detection	Watercolor2k	ICCM	http://openaccess.thecvf.com//content/CVPR2021/html/Hou_Informative_and_Consistent_Correspondence_Mining_for_Cross-Domain_Weakly_Supervised_Object_CVPR_2021_paper.html	MAP	57.4
16k > Object Detection > Weakly Supervised Object Detection	Watercolor2k	MCAR	https://arxiv.org/abs/2003.12943v2	MAP	56.0
16k > Object Detection > Weakly Supervised Object Detection	Watercolor2k	MEAA	https://dl.acm.org/doi/10.1145/3394171.3413553	MAP	55.5
16k > Object Detection > Weakly Supervised Object Detection	Watercolor2k	DT+PL	http://arxiv.org/abs/1803.11365v1	MAP	54.3
16k > Object Detection > Weakly Supervised Object Detection	Watercolor2k	MI-max	http://arxiv.org/abs/1810.02569v1	MAP	50.1
16k > Object Detection > Weakly Supervised Object Detection	Watercolor2k	MI-max	https://arxiv.org/abs/2008.01178v5	MAP	49.5
16k > Object Detection > Weakly Supervised Object Detection	Watercolor2k	WSDDN	http://arxiv.org/abs/1511.02853v4	MAP	12.7
16k > Object Detection > Weakly Supervised Object Detection	Clipart1k	H2FA R-CNN (clipart_all)	http://openaccess.thecvf.com//content/CVPR2022/html/Xu_H2FA_R-CNN_Holistic_and_Hierarchical_Feature_Alignment_for_Cross-Domain_Weakly_CVPR_2022_paper.html	MAP	69.8
16k > Object Detection > Weakly Supervised Object Detection	Clipart1k	DASS-Detector (YOLOX Tiny)	https://arxiv.org/abs/2211.10641v2	MAP	64.25
16k > Object Detection > Weakly Supervised Object Detection	Clipart1k	H2FA R-CNN (clipart_test)	http://openaccess.thecvf.com//content/CVPR2022/html/Xu_H2FA_R-CNN_Holistic_and_Hierarchical_Feature_Alignment_for_Cross-Domain_Weakly_CVPR_2022_paper.html	MAP	55.3
16k > Object Detection > Weakly Supervised Object Detection	Clipart1k	ICCM	http://openaccess.thecvf.com//content/CVPR2021/html/Hou_Informative_and_Consistent_Correspondence_Mining_for_Cross-Domain_Weakly_Supervised_Object_CVPR_2021_paper.html	MAP	46.7
16k > Object Detection > Weakly Supervised Object Detection	Clipart1k	DT+PL	http://arxiv.org/abs/1803.11365v1	MAP	46.0
16k > Object Detection > Weakly Supervised Object Detection	Clipart1k	MEAA	https://dl.acm.org/doi/10.1145/3394171.3413553	MAP	41.1
16k > Object Detection > Weakly Supervised Object Detection	Clipart1k	MI-max	https://arxiv.org/abs/2008.01178v5	MAP	38.4
16k > Object Detection > Weakly Supervised Object Detection	COCO test-dev	wetectron(single-model, VGG16)	https://arxiv.org/abs/2004.04725v3	AP50	24.8
16k > Object Detection > Weakly Supervised Object Detection	COCO test-dev	WSGARN+SSD	http://arxiv.org/abs/1711.08174v2	AP50	13.6
16k > Object Detection > Weakly Supervised Object Detection	COCO test-dev	WCCN	http://arxiv.org/abs/1611.08258v1	AP50	12.3
16k > Object Detection > Weakly Supervised Object Detection	COCO test-dev	WSDDN	http://arxiv.org/abs/1511.02853v4	AP50	11.5
16k > Object Detection > Weakly Supervised Object Detection	Cityscapes-to-Foggy Cityscapes	MEAA	https://dl.acm.org/doi/10.1145/3394171.3413553	mAP	40.5
16k > Object Detection > Weakly Supervised Object Detection	Cityscapes-to-Foggy Cityscapes	HTCN	https://arxiv.org/abs/2003.06297v1	mAP	39.8
16k > Object Detection > Weakly Supervised Object Detection	ImageNet	PCL-OB-G-Ens + FRCNN	http://arxiv.org/abs/1807.03342v2	MAP	19.6
16k > Object Detection > Weakly Supervised Object Detection	ImageNet	WCCN	http://arxiv.org/abs/1611.08258v1	MAP	16.3
16k > Object Detection > Weakly Supervised Object Detection	ImageNet	MSLPD	http://arxiv.org/abs/1706.08249v8	MAP	13.9
16k > Object Detection > Weakly Supervised Object Detection	ImageNet	Online Instance Classifier Refinement	http://arxiv.org/abs/1704.00138v1	MAP	6
16k > Object Detection > Weakly Supervised Object Detection	PeopleArt	Polyhedral MI-max	https://arxiv.org/abs/2008.01178v5	MAP	58.3
16k > Object Detection > Weakly Supervised Object Detection	PeopleArt	MI-max	http://arxiv.org/abs/1810.02569v1	MAP	55.4
16k > Object Detection > Robust Object Detection	PASCAL VOC 2007	Faster R-CNN with Stylized Training Data	https://arxiv.org/abs/1907.07484v2	mPC [AP50]	56.2
16k > Object Detection > Robust Object Detection	PASCAL VOC 2007	Faster R-CNN with Stylized Training Data	https://arxiv.org/abs/1907.07484v2	rPC [%]	69.9
16k > Object Detection > Robust Object Detection	PASCAL VOC 2007	Faster R-CNN	https://arxiv.org/abs/1907.07484v2	mPC [AP50]	48.6
16k > Object Detection > Robust Object Detection	PASCAL VOC 2007	Faster R-CNN	https://arxiv.org/abs/1907.07484v2	rPC [%]	60.4
16k > Object Detection > Robust Object Detection	Cityscapes	FGT (SD-1.5 Backbone)	https://arxiv.org/abs/2506.21042v1	mPC [AP]	27.4

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2007

ZLDN-L

http://arxiv.org/abs/1804.09466v1

MAP

47.6

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2007

MELM

http://arxiv.org/abs/1902.06057v1

MAP

47.3

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2007

OICR-Ens + FRCNN

http://arxiv.org/abs/1704.00138v1

MAP

47.0

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2007

OICR + W-RPN

http://openaccess.thecvf.com/content_CVPR_2019/html/Singh_You_Reap_What_You_Sow_Using_Videos_to_Generate_High_CVPR_2019_paper.html

MAP

46.9

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2007

SegAgg-Adapt

https://www.sciencedirect.com/science/article/pii/S0166361519307559

MAP

46.2

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2007

VGPMIL

http://openaccess.thecvf.com/content_cvpr_2017/html/Haussmann_Variational_Bayesian_Multiple_CVPR_2017_paper.html

MAP

46.1

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2007

WebRelETH

http://arxiv.org/abs/1707.08721v2

MAP

46.0

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2007

SegAgg

http://bmvc2018.org/contents/papers/0557.pdf

MAP

43.9

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2007

Deep Self-Taught Learning

http://arxiv.org/abs/1704.05188v2

MAP

43.7

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2007

WCCN

http://arxiv.org/abs/1611.08258v1

MAP

42.8

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2007

MSLPD

http://arxiv.org/abs/1706.08249v8

MAP

41.7

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2007

Our scheme

https://arxiv.org/1910.02101

MAP

40.9

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2007

WSDDN-Ens

http://arxiv.org/abs/1511.02853v4

MAP

39.3

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2007

Self-Paced Learning

http://arxiv.org/abs/1605.07651v3

MAP

38.11

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2007

NSOD

https://arxiv.org/abs/1912.00384v6

MAP

38.0

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2007

WSDDN + context

http://arxiv.org/abs/1609.04331v1

MAP

36.3

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2007

Self-paced curriculum learning

http://arxiv.org/abs/1703.01290v1

MAP

31.3

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2007

Cover + SLSVM

http://arxiv.org/abs/1403.1024v4

MAP

22.7

16k > Object Detection > Weakly Supervised Object Detection

COCO (Common Objects in Context)

MSLPD

http://arxiv.org/abs/1706.08249v8

MAP

56.6

16k > Object Detection > Weakly Supervised Object Detection

COCO (Common Objects in Context)

SPNs

http://arxiv.org/abs/1709.01829v1

MAP

55.3

16k > Object Detection > Weakly Supervised Object Detection

COCO (Common Objects in Context)

WILDCAT

http://openaccess.thecvf.com/content_cvpr_2017/html/Durand_WILDCAT_Weakly_Supervised_CVPR_2017_paper.html

MAP

53.4

16k > Object Detection > Weakly Supervised Object Detection

COCO (Common Objects in Context)

Deep Feature Maps

http://arxiv.org/abs/1603.00489v2

MAP

47.9

16k > Object Detection > Weakly Supervised Object Detection

COCO (Common Objects in Context)

ProNet

http://arxiv.org/abs/1511.03776v3

MAP

43.5

16k > Object Detection > Weakly Supervised Object Detection

IconArt

MI_Net [wang_revisiting_2018]

https://arxiv.org/abs/2008.01178v5

MAP

15.1

16k > Object Detection > Weakly Supervised Object Detection

IconArt

MI-max-C

http://arxiv.org/abs/1810.02569v1

MAP

13.2

16k > Object Detection > Weakly Supervised Object Detection

MS-COCO-2017

OD-WSCL

https://arxiv.org/abs/2208.07576v2

AP

13.6

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2012 test

WeakSAM-MIST-DINO (with SAM)

https://arxiv.org/abs/2402.14812v2

MAP

70.2

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2012 test

WeakSAM-MIST-Faster RCNN (with SAM)

https://arxiv.org/abs/2402.14812v2

MAP

69.2

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2012 test

WeakSAM-MIST (with SAM)

https://arxiv.org/abs/2402.14812v2

MAP

66.9

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2012 test

WeakSAM-OICR-DINO (with SAM)

https://arxiv.org/abs/2402.14812v2

MAP

63.7

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2012 test

WeakSAM-OICR-Faster RCNN (with SAM)

https://arxiv.org/abs/2402.14812v2

MAP

62.9

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2012 test

WeakSAM-OICR (with SAM)

https://arxiv.org/abs/2402.14812v2

MAP

58.4

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2012 test

OD-WSCL

https://arxiv.org/abs/2208.07576v2

MAP

54.6

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2012 test

CASD(VGG16)

https://arxiv.org/abs/2010.12023v1

MAP

53.6

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2012 test

wetectron(single-model)

https://arxiv.org/abs/2004.04725v3

MAP

52.1

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2012 test

C-MIDN+FRCNN

http://openaccess.thecvf.com/content_ICCV_2019/html/Gao_C-MIDN_Coupled_Multiple_Instance_Detection_Network_With_Segmentation_Guidance_for_ICCV_2019_paper.html

MAP

50.3

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2012 test

Pred Net (Ens)

http://arxiv.org/abs/1811.10016v1

MAP

49.5

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2012 test

Our-Ens

https://arxiv.org/abs/1911.12148v1

MAP

49.5

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2012 test

Ours + FRCNN

https://arxiv.org/abs/1908.03792v1

MAP

48.1

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2012 test

Ours+FRCNN

https://arxiv.org/abs/1906.06023v1

MAP

48.0

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2012 test

WSD+PGE+PGA+FSD2

http://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_W2F_A_Weakly-Supervised_CVPR_2018_paper.html

MAP

47.8

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2012 test

WSOD2

https://arxiv.org/abs/1909.04972

MAP

47.2

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2012 test

C-MIL

http://arxiv.org/abs/1904.05647v1

MAP

46.7

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2012 test

OIM+IR+FRCNN

https://arxiv.org/abs/2002.01087v1

MAP

46.4

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2012 test

WS-JDS FRCNN

http://openaccess.thecvf.com/content_CVPR_2019/html/Shen_Cyclic_Guidance_for_Weakly_Supervised_Joint_Detection_and_Segmentation_CVPR_2019_paper.html

MAP

46.1

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2012 test

PCL-OB-G-Ens + FRCNN

http://arxiv.org/abs/1807.03342v2

MAP

44.2

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2012 test

OICR + W-RPN

http://openaccess.thecvf.com/content_CVPR_2019/html/Singh_You_Reap_What_You_Sow_Using_Videos_to_Generate_High_CVPR_2019_paper.html

MAP

43.2

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2012 test

ZLDN-L

http://arxiv.org/abs/1804.09466v1

MAP

42.9

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2012 test

WebRelETH

http://arxiv.org/abs/1707.08721v2

MAP

42.8

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2012 test

OICR-Ens + FRCNN

http://arxiv.org/abs/1704.00138v1

MAP

42.5

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2012 test

MELM

http://arxiv.org/abs/1902.06057v1

MAP

42.4

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2012 test

Deep Self-Taught Learning

http://arxiv.org/abs/1704.05188v2

MAP

38.3

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2012 test

WCCN

http://arxiv.org/abs/1611.08258v1

MAP

37.9

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2012 test

LM-VGPMIL

http://openaccess.thecvf.com/content_cvpr_2017/html/Haussmann_Variational_Bayesian_Multiple_CVPR_2017_paper.html

MAP

37.8

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2012 test

NSOD

https://arxiv.org/abs/1912.00384v6

MAP

36.6

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2012 test

MSLPD

http://arxiv.org/abs/1706.08249v8

MAP

35.4

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2012 test

WSDDN + context

http://arxiv.org/abs/1609.04331v1

MAP

35.3

16k > Object Detection > Weakly Supervised Object Detection

PASCAL VOC 2012 test

Our scheme

https://arxiv.org/1910.02101

MAP

35.2

16k > Object Detection > Weakly Supervised Object Detection

Charades

Spatial Prior

http://arxiv.org/abs/1904.01665v1

MAP

10.03

16k > Object Detection > Weakly Supervised Object Detection

Charades

PCL

http://arxiv.org/abs/1807.03342v2

MAP

2.83

16k > Object Detection > Weakly Supervised Object Detection

Charades

TD-LSTM

http://arxiv.org/abs/1708.00666v1

MAP

1.98

16k > Object Detection > Weakly Supervised Object Detection

Charades

ContextLocNet

http://arxiv.org/abs/1609.04331v1

MAP

1.12

16k > Object Detection > Weakly Supervised Object Detection

Charades

R*CNN

http://arxiv.org/abs/1505.01197v3

MAP

0.99

16k > Object Detection > Weakly Supervised Object Detection

Charades

WSDDN

http://arxiv.org/abs/1511.02853v4

MAP

0.65

16k > Object Detection > Weakly Supervised Object Detection

Watercolor2k

TADP

https://arxiv.org/abs/2310.00031v3

MAP

72.2

16k > Object Detection > Weakly Supervised Object Detection

Watercolor2k

DASS-Detector (YOLOX Tiny)

https://arxiv.org/abs/2211.10641v2

MAP

71.53

16k > Object Detection > Weakly Supervised Object Detection

Watercolor2k

H2FA R-CNN (+extra)

http://openaccess.thecvf.com//content/CVPR2022/html/Xu_H2FA_R-CNN_Holistic_and_Hierarchical_Feature_Alignment_for_Cross-Domain_Weakly_CVPR_2022_paper.html

MAP

62.6

16k > Object Detection > Weakly Supervised Object Detection

Watercolor2k

H2FA R-CNN

http://openaccess.thecvf.com//content/CVPR2022/html/Xu_H2FA_R-CNN_Holistic_and_Hierarchical_Feature_Alignment_for_Cross-Domain_Weakly_CVPR_2022_paper.html

MAP

59.9

16k > Object Detection > Weakly Supervised Object Detection

Watercolor2k

DT+PL (+extra)

http://arxiv.org/abs/1803.11365v1

MAP

59.1

16k > Object Detection > Weakly Supervised Object Detection

Watercolor2k

ICCM

http://openaccess.thecvf.com//content/CVPR2021/html/Hou_Informative_and_Consistent_Correspondence_Mining_for_Cross-Domain_Weakly_Supervised_Object_CVPR_2021_paper.html

MAP

57.4

16k > Object Detection > Weakly Supervised Object Detection

Watercolor2k

MCAR

https://arxiv.org/abs/2003.12943v2

MAP

56.0

16k > Object Detection > Weakly Supervised Object Detection

Watercolor2k

MEAA

https://dl.acm.org/doi/10.1145/3394171.3413553

MAP

55.5

16k > Object Detection > Weakly Supervised Object Detection

Watercolor2k

DT+PL

http://arxiv.org/abs/1803.11365v1

MAP

54.3

16k > Object Detection > Weakly Supervised Object Detection

Watercolor2k

MI-max

http://arxiv.org/abs/1810.02569v1

MAP

50.1

16k > Object Detection > Weakly Supervised Object Detection

Watercolor2k

MI-max

https://arxiv.org/abs/2008.01178v5

MAP

49.5

16k > Object Detection > Weakly Supervised Object Detection

Watercolor2k

WSDDN

http://arxiv.org/abs/1511.02853v4

MAP

12.7

16k > Object Detection > Weakly Supervised Object Detection

Clipart1k

H2FA R-CNN (clipart_all)

http://openaccess.thecvf.com//content/CVPR2022/html/Xu_H2FA_R-CNN_Holistic_and_Hierarchical_Feature_Alignment_for_Cross-Domain_Weakly_CVPR_2022_paper.html

MAP

69.8

16k > Object Detection > Weakly Supervised Object Detection

Clipart1k

DASS-Detector (YOLOX Tiny)

https://arxiv.org/abs/2211.10641v2

MAP

64.25

16k > Object Detection > Weakly Supervised Object Detection

Clipart1k

H2FA R-CNN (clipart_test)

http://openaccess.thecvf.com//content/CVPR2022/html/Xu_H2FA_R-CNN_Holistic_and_Hierarchical_Feature_Alignment_for_Cross-Domain_Weakly_CVPR_2022_paper.html

MAP

55.3

16k > Object Detection > Weakly Supervised Object Detection

Clipart1k

ICCM

http://openaccess.thecvf.com//content/CVPR2021/html/Hou_Informative_and_Consistent_Correspondence_Mining_for_Cross-Domain_Weakly_Supervised_Object_CVPR_2021_paper.html

MAP

46.7

16k > Object Detection > Weakly Supervised Object Detection

Clipart1k

DT+PL

http://arxiv.org/abs/1803.11365v1

MAP

46.0

16k > Object Detection > Weakly Supervised Object Detection

Clipart1k

MEAA

https://dl.acm.org/doi/10.1145/3394171.3413553

MAP

41.1

16k > Object Detection > Weakly Supervised Object Detection

Clipart1k

MI-max

https://arxiv.org/abs/2008.01178v5

MAP

38.4

16k > Object Detection > Weakly Supervised Object Detection

COCO test-dev

wetectron(single-model, VGG16)

https://arxiv.org/abs/2004.04725v3

AP50

24.8

16k > Object Detection > Weakly Supervised Object Detection

COCO test-dev

WSGARN+SSD

http://arxiv.org/abs/1711.08174v2

AP50

13.6

16k > Object Detection > Weakly Supervised Object Detection

COCO test-dev

WCCN

http://arxiv.org/abs/1611.08258v1

AP50

12.3

16k > Object Detection > Weakly Supervised Object Detection

COCO test-dev

WSDDN

http://arxiv.org/abs/1511.02853v4

AP50

11.5

16k > Object Detection > Weakly Supervised Object Detection

Cityscapes-to-Foggy Cityscapes

MEAA

https://dl.acm.org/doi/10.1145/3394171.3413553

mAP

40.5

16k > Object Detection > Weakly Supervised Object Detection

Cityscapes-to-Foggy Cityscapes

HTCN

https://arxiv.org/abs/2003.06297v1

mAP

39.8

16k > Object Detection > Weakly Supervised Object Detection

ImageNet

PCL-OB-G-Ens + FRCNN

http://arxiv.org/abs/1807.03342v2

MAP

19.6

16k > Object Detection > Weakly Supervised Object Detection

ImageNet

WCCN

http://arxiv.org/abs/1611.08258v1

MAP

16.3

16k > Object Detection > Weakly Supervised Object Detection

ImageNet

MSLPD

http://arxiv.org/abs/1706.08249v8

MAP

13.9

16k > Object Detection > Weakly Supervised Object Detection

ImageNet

Online Instance Classifier Refinement

http://arxiv.org/abs/1704.00138v1

MAP

6

16k > Object Detection > Weakly Supervised Object Detection

PeopleArt

Polyhedral MI-max

https://arxiv.org/abs/2008.01178v5

MAP

58.3

16k > Object Detection > Weakly Supervised Object Detection

PeopleArt

MI-max

http://arxiv.org/abs/1810.02569v1

MAP

55.4

16k > Object Detection > Robust Object Detection

PASCAL VOC 2007

Faster R-CNN with Stylized Training Data

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

mPC [AP50]

56.2

16k > Object Detection > Robust Object Detection

PASCAL VOC 2007

Faster R-CNN with Stylized Training Data

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

rPC [%]

69.9

16k > Object Detection > Robust Object Detection

PASCAL VOC 2007

Faster R-CNN

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

mPC [AP50]

48.6

16k > Object Detection > Robust Object Detection

PASCAL VOC 2007

Faster R-CNN

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

rPC [%]

60.4

16k > Object Detection > Robust Object Detection

Cityscapes

FGT (SD-1.5 Backbone)

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

mPC [AP]

27.4