Three-branch and Mutil-scale learning for Fine-grained Image Recognition (TBMSL-Net)

20 Mar 2020Fan ZhangGuisheng ZhaiMeng LiYizhao Liu

ImageNet Large Scale Visual Recognition Challenge (ILSVRC) is one of the most authoritative academic competitions in the field of Computer Vision (CV) in recent years, but it can not achieve good result to directly migrate the champions of the annual competition, to fine-grained visual categorization (FGVC) tasks. The small interclass variations and the large intraclass variations caused by the fine-grained nature makes it a challenging problem... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Fine-Grained Image Classification CUB-200-2011 TBMSL-Net Accuracy 89.6% # 4
Fine-Grained Image Classification FGVC Aircraft TBMSL-Net Accuracy 94.5% # 1
Fine-Grained Image Classification Stanford Cars TBMSL-Net Accuracy 94.7% # 9

Methods used in the Paper


METHOD TYPE
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