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Fine-Grained Visual Categorization

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Showing 1–25 of 69 papers

TitleStatusHype
ViT-NeT: Interpretable Vision Transformers with Neural Tree DecoderCode1
Large Scale Fine-Grained Categorization and Domain-Specific Transfer LearningCode1
The Plant Pathology 2020 challenge dataset to classify foliar disease of applesCode1
Feature Fusion Vision Transformer for Fine-Grained Visual CategorizationCode1
Fashionpedia: Ontology, Segmentation, and an Attribute Localization DatasetCode1
Feathers dataset for Fine-Grained Visual CategorizationCode1
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
ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill IdentificationCode1
Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual CategorizationCode1
Self-Supervised Learning for Fine-Grained Visual CategorizationCode1
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identificationCode1
Cross-layer Attention Network for Fine-grained Visual Categorization—0
Birdsnap: Large-scale Fine-grained Visual Categorization of Birds—0
A Compositional Feature Embedding and Similarity Metric for Ultra-Fine-Grained Visual Categorization—0
Context-Semantic Quality Awareness Network for Fine-Grained Visual Categorization—0
Fine-grained Categorization and Dataset Bootstrapping using Deep Metric Learning with Humans in the Loop—0
Fine-Grained Visual Categorization via Multi-stage Metric Learning—0
CoCoNet: A Collaborative Convolutional Network—0
Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification—0
Domain Adaptive Transfer Learning on Visual Attention Aware Data Augmentation for Fine-grained Visual Categorization—0
Alignment Enhancement Network for Fine-grained Visual Categorization—0
Facing the Hard Problems in FGVC—0
FenceMask: A Data Augmentation Approach for Pre-extracted Image Features—0
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