C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection

CVPR 2019 Fang WanChang LiuWei KeXiangyang JiJianbin JiaoQixiang Ye

Weakly supervised object detection (WSOD) is a challenging task when provided with image category supervision but required to simultaneously learn object locations and object detectors. Many WSOD approaches adopt multiple instance learning (MIL) and have non-convex loss functions which are prone to get stuck into local minima (falsely localize object parts) while missing full object extent during training... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Weakly Supervised Object Detection PASCAL VOC 2007 FRCNN C-MIL MAP 53.1 # 5
Weakly Supervised Object Detection PASCAL VOC 2012 test C-MIL MAP 46.7 # 8

Methods used in the Paper


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