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Fine-Grained Visual Categorization

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Showing 1–25 of 69 papers

TitleStatusHype
Novel Class Discovery for Ultra-Fine-Grained Visual CategorizationCode1
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
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identificationCode1
Feature Fusion Vision Transformer for Fine-Grained Visual CategorizationCode1
Self-Supervised Learning for Fine-Grained Visual CategorizationCode1
ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill IdentificationCode1
Fashionpedia: Ontology, Segmentation, and an Attribute Localization DatasetCode1
The Plant Pathology 2020 challenge dataset to classify foliar disease of applesCode1
Feathers dataset for Fine-Grained Visual CategorizationCode1
Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual CategorizationCode1
Large Scale Fine-Grained Categorization and Domain-Specific Transfer LearningCode1
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
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
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