Weakly Supervised Deep Detection Networks

CVPR 2016 Hakan BilenAndrea Vedaldi

Weakly supervised learning of object detection is an important problem in image understanding that still does not have a satisfactory solution. In this paper, we address this problem by exploiting the power of deep convolutional neural networks pre-trained on large-scale image-level classification tasks... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Weakly Supervised Object Detection COCO test-dev WSDDN AP50 11.5 # 4
Weakly Supervised Object Detection PASCAL VOC 2007 WSDDN-Ens MAP 39.3 # 24
Weakly Supervised Object Detection Watercolor2k WSDDN MAP 12.7 # 1

Results from Other Papers


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK SOURCE PAPER COMPARE
Weakly Supervised Object Detection Charades WSDDN MAP 0.65 # 6
Weakly Supervised Object Detection HICO-DET WSDDN MAP 3.27 # 3

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