ProNet: Learning to Propose Object-specific Boxes for Cascaded Neural Networks

CVPR 2016 Chen SunManohar PaluriRonan CollobertRam NevatiaLubomir Bourdev

This paper aims to classify and locate objects accurately and efficiently, without using bounding box annotations. It is challenging as objects in the wild could appear at arbitrary locations and in different scales... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Weakly Supervised Object Detection COCO ProNet MAP 43.5 # 4

Methods used in the Paper


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