SOTAVerified

Fine-Grained Image Recognition

Papers

Showing 125 of 72 papers

TitleStatusHype
Res-VMamba: Fine-Grained Food Category Visual Classification Using Selective State Space Models with Deep Residual LearningCode2
Hawkeye: A PyTorch-based Library for Fine-Grained Image Recognition with Deep LearningCode2
A Novel Plug-in Module for Fine-Grained Visual ClassificationCode2
Fine-grained Recognition with Learnable Semantic Data AugmentationCode1
PaLI-X: On Scaling up a Multilingual Vision and Language ModelCode1
Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia EntitiesCode1
Making Heads or Tails: Towards Semantically Consistent Visual CounterfactualsCode1
The Curious Layperson: Fine-Grained Image Recognition without Expert LabelsCode1
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identificationCode1
Local Patch AutoAugment with Multi-Agent CollaborationCode1
Danish Fungi 2020 -- Not Just Another Image Recognition DatasetCode1
Neural Prototype Trees for Interpretable Fine-grained Image RecognitionCode1
How Well Do Self-Supervised Models Transfer?Code1
ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill IdentificationCode1
Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual CategorizationCode1
Destruction and Construction Learning for Fine-Grained Image RecognitionCode1
Structural feature enhanced transformer for fine-grained image recognition0
Open-Set Recognition of Novel Species in Biodiversity Monitoring0
Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image RecognitionCode0
Down-Sampling Inter-Layer Adapter for Parameter and Computation Efficient Ultra-Fine-Grained Image RecognitionCode0
Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude RegularizationCode0
Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models0
Global-Local Similarity for Efficient Fine-Grained Image Recognition with Vision TransformersCode0
GCAM: Gaussian and causal-attention model of food fine-grained recognition0
Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition0
Show:102550
← PrevPage 1 of 3Next →

No leaderboard results yet.