mlsanityData to 14 Oct 2026

Fine-Grained Visual Classification using Self Assessment Classifier

arXiv 2205.10529 ↗First posted 21 May 2022cs.CVcited by 8

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Abstract (arXiv)

Extracting discriminative features plays a crucial role in the fine-grained visual classification task. Most of the existing methods focus on developing attention or augmentation mechanisms to achieve this goal. However, addressing the ambiguity in the top-k prediction classes is not fully investigated. In this paper, we introduce a Self Assessment Classifier, which simultaneously leverages the representation of the image and top-k prediction classes to reassess the classification results. Our method is inspired by continual learning with coarse-grained and fine-grained classifiers to increase the discrimination of features in the backbone and produce attention maps of informative areas on the image. In practice, our method works as an auxiliary branch and can be easily integrated into different architectures. We show that by effectively addressing the ambiguity in the top-k prediction classes, our method achieves new state-of-the-art results on CUB200-2011, Stanford Dog, and FGVC Aircraft datasets. Furthermore, our method also consistently improves the accuracy of different existing fine-grained classifiers with a unified setup.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 55 of its 79 references that are in the map. First posted on arXiv 21 May 2022.

Builds on

55 of 79 references.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 1; 2023: 3; 2024: 2; 2025: 1; 2026: 1.

8 papers.

  1. 2022Uncertainty-aware Label Distribution Learning for Facial Expression Recognitioncited by 30
  2. 2024Language-driven Grasp Detectioncited by 26
  3. 2023Fine-grained Visual Classification with High-temperature Refinement and Background Suppressioncited by 22
  4. 2023Salient Mask-Guided Vision Transformer for Fine-Grained Classificationcited by 3
  5. 2024ViTree: Single-path Neural Tree for Step-wise Interpretable Fine-grained Visual Categorizationcited by 1
  6. 2025Cross-Hierarchical Bidirectional Consistency Learning for Fine-Grained Visual Classificationcited by 1
  7. 2023Semantic Feature Integration network for Fine-grained Visual Classificationcited by 0
  8. 2026AffordMatcher: Affordance Learning in 3D Scenes from Visual Signifierscited by 0