paper-with-me

Weakly Supervised Object Detection 벤치마크

Weakly Supervised Object Detection on COCO (Common Objects in Context)

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MAP

43.5 46.77 50.05 53.33 56.6 2015-11 2026-11 ProNet — 43.5 (2015-11-12) ProNet — 43.5 (2015-11-12) ProNet — 43.5 (2015-11-12) ProNet — 43.5 (2015-11-12) ProNet — 43.5 (2015-11-12) Deep Feature Maps — 47.9 (2016-03-01) Deep Feature Maps — 47.9 (2016-03-01) Deep Feature Maps — 47.9 (2016-03-01) Deep Feature Maps — 47.9 (2016-03-01) Deep Feature Maps — 47.9 (2016-03-01) MSLPD — 56.6 (2017-06-26) MSLPD — 56.6 (2017-06-26) MSLPD — 56.6 (2017-06-26) MSLPD — 56.6 (2017-06-26) MSLPD — 56.6 (2017-06-26) WILDCAT — 53.4 (2017-07-01) WILDCAT — 53.4 (2017-07-01) WILDCAT — 53.4 (2017-07-01) WILDCAT — 53.4 (2017-07-01) WILDCAT — 53.4 (2017-07-01) SPNs — 55.3 (2017-09-06) SPNs — 55.3 (2017-09-06) SPNs — 55.3 (2017-09-06) SPNs — 55.3 (2017-09-06) SPNs — 55.3 (2017-09-06) ProNet — 43.5 (2015-11-12) Deep Feature Maps — 47.9 (2016-03-01) MSLPD — 56.6 (2017-06-26)
RankModel MAP PaperCodeYear
1 MSLPD 56.6 Few-Example Object Detection with Model Communication D-X-Y/DXY-Projects 2017
2 SPNs 55.3 Soft Proposal Networks for Weakly Supervised Object Localization yeezhu/SPN.pytorch 2017
3 WILDCAT 53.4 WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation durandtibo/wildcat.pytorch · jeromerony/survey_wsl_histology 2017
4 Deep Feature Maps 47.9 Weakly Supervised Localization using Deep Feature Maps 2016
5 ProNet 43.5 ProNet: Learning to Propose Object-specific Boxes for Cascaded Neural Networks 2015
6 MSLPD 56.6 Few-Example Object Detection with Model Communication D-X-Y/DXY-Projects 2017
7 SPNs 55.3 Soft Proposal Networks for Weakly Supervised Object Localization yeezhu/SPN.pytorch 2017
8 WILDCAT 53.4 WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation durandtibo/wildcat.pytorch · jeromerony/survey_wsl_histology 2017
9 Deep Feature Maps 47.9 Weakly Supervised Localization using Deep Feature Maps 2016
10 ProNet 43.5 ProNet: Learning to Propose Object-specific Boxes for Cascaded Neural Networks 2015
11 MSLPD 56.6 Few-Example Object Detection with Model Communication D-X-Y/DXY-Projects 2017
12 SPNs 55.3 Soft Proposal Networks for Weakly Supervised Object Localization yeezhu/SPN.pytorch 2017
13 WILDCAT 53.4 WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation durandtibo/wildcat.pytorch · jeromerony/survey_wsl_histology 2017
14 Deep Feature Maps 47.9 Weakly Supervised Localization using Deep Feature Maps 2016
15 ProNet 43.5 ProNet: Learning to Propose Object-specific Boxes for Cascaded Neural Networks 2015
16 MSLPD 56.6 Few-Example Object Detection with Model Communication D-X-Y/DXY-Projects 2017
17 SPNs 55.3 Soft Proposal Networks for Weakly Supervised Object Localization yeezhu/SPN.pytorch 2017
18 WILDCAT 53.4 WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation durandtibo/wildcat.pytorch · jeromerony/survey_wsl_histology 2017
19 Deep Feature Maps 47.9 Weakly Supervised Localization using Deep Feature Maps 2016
20 ProNet 43.5 ProNet: Learning to Propose Object-specific Boxes for Cascaded Neural Networks 2015
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