Few-Example Object Detection with Model Communication

26 Jun 2017 Xuanyi Dong Liang Zheng Fan Ma Yi Yang Deyu Meng

In this paper, we study object detection using a large pool of unlabeled images and only a few labeled images per category, named "few-example object detection". The key challenge consists in generating trustworthy training samples as many as possible from the pool... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Weakly Supervised Object Detection COCO MSLPD MAP 56.6 # 1
Weakly Supervised Object Detection ImageNet MSLPD MAP 13.9 # 3
Weakly Supervised Object Detection PASCAL VOC 2007 MSLPD MAP 41.7 # 22
Weakly Supervised Object Detection PASCAL VOC 2012 test MSLPD MAP 35.4 # 21

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