Destruction and Construction Learning for Fine-Grained Image Recognition

CVPR 2019 Yue Chen Yalong Bai Wei Zhang Tao Mei

Delicate feature representation about object parts plays a critical role in fine-grained recognition. For example, experts can even distinguish fine-grained objects relying only on object parts according to professional knowledge... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK LEADERBOARD
Fine-Grained Image Classification CUB-200-2011 DCL Accuracy 87.8% # 17
Fine-Grained Image Classification FGVC Aircraft DCL Accuracy 93.0% # 10
Fine-Grained Image Classification Stanford Cars DCL Accuracy 94.5% # 11

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