Soft Proposal Networks for Weakly Supervised Object Localization

ICCV 2017 Yi ZhuYanzhao ZhouQixiang YeQiang QiuJianbin Jiao

Weakly supervised object localization remains challenging, where only image labels instead of bounding boxes are available during training. Object proposal is an effective component in localization, but often computationally expensive and incapable of joint optimization with some of the remaining modules... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Weakly Supervised Object Detection COCO SPNs MAP 55.3 # 2

Methods used in the Paper


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