Exploiting Web Images for Weakly Supervised Object Detection

27 Jul 2017 Qingyi Tao Hao Yang Jianfei Cai

In recent years, the performance of object detection has advanced significantly with the evolving deep convolutional neural networks. However, the state-of-the-art object detection methods still rely on accurate bounding box annotations that require extensive human labelling... (read more)

PDF Abstract

Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK USES EXTRA
TRAINING DATA
RESULT BENCHMARK
Weakly Supervised Object Detection PASCAL VOC 2007 WebRelETH MAP 46.0 # 18
Weakly Supervised Object Detection PASCAL VOC 2012 test WebRelETH MAP 42.8 # 14

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