PCL: Proposal Cluster Learning for Weakly Supervised Object Detection

9 Jul 2018Peng TangXinggang WangSong BaiWei ShenXiang BaiWenyu LiuAlan Yuille

Weakly Supervised Object Detection (WSOD), using only image-level annotations to train object detectors, is of growing importance in object recognition. In this paper, we propose a novel deep network for WSOD... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Weakly Supervised Object Detection ImageNet PCL-OB-G-Ens + FRCNN MAP 19.6 # 1
Weakly Supervised Object Detection PASCAL VOC 2007 PCL-OB-G-Ens + FRCNN MAP 48.8 # 11
Weakly Supervised Object Detection PASCAL VOC 2012 test PCL-OB-G-Ens + FRCNN MAP 44.2 # 11

Results from Other Papers


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK SOURCE PAPER COMPARE
Weakly Supervised Object Detection Charades PCL MAP 2.83 # 2
Weakly Supervised Object Detection HICO-DET PCL MAP 3.62 # 2

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet