Hard Decorrelated Centralized Loss for fine-grained image retrieval
Neurocomputing（2021）
Abstract
•A novel variant of softmax loss based on hard mining is proposed to FGIR.•The proposed loss can separate the closest subspecies of fine-grained image.•Extensive experiments on several classical benchmarks demenstrate its effectiveness.
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Key words
Fine-grained image retrieval,Hard Decorrelated Centralized Loss,Convolutional neural network
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