Fine-grained Classification via Categorical Memory Networks

12 Dec 2020 Weijian Deng Joshua Marsh Stephen Gould Liang Zheng

Motivated by the desire to exploit patterns shared across classes, we present a simple yet effective class-specific memory module for fine-grained feature learning. The memory module stores the prototypical feature representation for each category as a moving average... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Fine-Grained Image Classification CUB-200-2011 CMN Accuracy 88.2% # 19

Methods used in the Paper


METHOD TYPE
Memory Network
Working Memory Models