Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection

Weakly Supervised Object Detection (WSOD) has emerged as an effective tool to train object detectors using only the image-level category labels. However, without object-level labels, WSOD detectors are prone to detect bounding boxes on salient objects, clustered objects and discriminative object parts... (read more)

PDF Abstract NeurIPS 2020 PDF NeurIPS 2020 Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Weakly Supervised Object Detection MSCOCO CASD(ResNet50) mAP 13.9 # 1
mAP@50 27.8 # 1
Weakly Supervised Object Detection PASCAL VOC 2007 CASD(VGG16) MAP 56.8 # 2
Weakly Supervised Object Detection PASCAL VOC 2012 test CASD(VGG16) MAP 53.6 # 1

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