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Fine-Grained Visual Categorization

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Showing 1–25 of 69 papers

TitleStatusHype
Universal Fine-grained Visual Categorization by Concept Guided LearningCode0
SIM-OFE: Structure Information Mining and Object-aware Feature Enhancement for Fine-Grained Visual Categorization—0
EIANet: A Novel Domain Adaptation Approach to Maximize Class Distinction with Neural Collapse PrinciplesCode0
Fine-Grained Classification for Poisonous Fungi Identification with Transfer LearningCode0
Novel Class Discovery for Ultra-Fine-Grained Visual CategorizationCode1
Data-free Knowledge Distillation for Fine-grained Visual CategorizationCode0
Context-Semantic Quality Awareness Network for Fine-Grained Visual Categorization—0
Finer: Investigating and Enhancing Fine-Grained Visual Concept Recognition in Large Vision Language Models—0
ViTree: Single-path Neural Tree for Step-wise Interpretable Fine-grained Visual CategorizationCode0
Cross-Level Multi-Instance Distillation for Self-Supervised Fine-Grained Visual Categorization—0
From Coarse to Fine-Grained Open-Set Recognition—0
Learning Contrastive Self-Distillation for Ultra-Fine-Grained Visual Categorization Targeting Limited Samples—0
Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual Categorization in Few-Shot Conditions—0
Coping with Change: Learning Invariant and Minimum Sufficient Representations for Fine-Grained Visual CategorizationCode0
Concept Drift and Long-Tailed Distribution in Fine-Grained Visual Categorization: Benchmark and MethodCode0
Incremental Generalized Category Discovery—0
Cross-layer Attention Network for Fine-grained Visual Categorization—0
SIM-Trans: Structure Information Modeling Transformer for Fine-grained Visual CategorizationCode1
Exploring Fine-Grained Audiovisual Categorization with the SSW60 DatasetCode1
ViT-NeT: Interpretable Vision Transformers with Neural Tree DecoderCode1
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual RecognitionCode0
Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification—0
R2-Trans:Fine-Grained Visual Categorization with Redundancy Reduction—0
High-Order-Interaction for weakly supervised Fine-Grained Visual CategorizationCode0
Fine-Grained Adversarial Semi-supervised Learning—0
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