Search Results for author: Xinda Liu

Found 2 papers, 1 papers with code

Feature-Suppressed Contrast for Self-Supervised Food Pre-training

1 code implementation7 Aug 2023 Xinda Liu, Yaohui Zhu, Linhu Liu, Jiang Tian, Lili Wang

As the similar contents of the two views are salient or highly responsive in the feature map, the proposed FeaSC uses a response-aware scheme to localize salient features in an unsupervised manner.

Food Recognition Self-Supervised Learning

Transformer with Peak Suppression and Knowledge Guidance for Fine-grained Image Recognition

no code implementations14 Jul 2021 Xinda Liu, Lili Wang, Xiaoguang Han

In this paper, we analyze the difficulties of fine-grained image recognition from a new perspective and propose a transformer architecture with the peak suppression module and knowledge guidance module, which respects the diversification of discriminative features in a single image and the aggregation of discriminative clues among multiple images.

Fine-Grained Image Classification Fine-Grained Image Recognition

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