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Fine-Grained Visual Recognition

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Showing 1–25 of 72 papers

TitleStatusHype
FiGKD: Fine-Grained Knowledge Distillation via High-Frequency Detail Transfer—0
Efficient Vocabulary-Free Fine-Grained Visual Recognition in the Age of Multimodal LLMs—0
XR-VLM: Cross-Relationship Modeling with Multi-part Prompts and Visual Features for Fine-Grained Recognition—0
Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized DataCode1
Analyzing and Boosting the Power of Fine-Grained Visual Recognition for Multi-modal Large Language ModelsCode2
Navigating limitations with precision: A fine-grained ensemble approach to wrist pathology recognition on a limited x-ray dataset—0
Interweaving Insights: High-Order Feature Interaction for Fine-Grained Visual RecognitionCode0
Towards Generative Class Prompt Learning for Fine-grained Visual RecognitionCode0
Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude RegularizationCode0
Extremely Fine-Grained Visual Classification over Resembling Glyphs in the WildCode0
On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition—0
Extract More from Less: Efficient Fine-Grained Visual Recognition in Low-Data RegimesCode0
Few-Shot Classification of Interactive Activities of Daily Living (InteractADL)Code0
RAR: Retrieving And Ranking Augmented MLLMs for Visual RecognitionCode2
LoDisc: Learning Global-Local Discriminative Features for Self-Supervised Fine-Grained Visual Recognition—0
Democratizing Fine-grained Visual Recognition with Large Language Models—0
HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical UnderstandingCode1
Generalized Category Discovery with Clustering Assignment Consistency—0
Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual Categorization in Few-Shot Conditions—0
M2Former: Multi-Scale Patch Selection for Fine-Grained Visual Recognition—0
Recent Advances of Local Mechanisms in Computer Vision: A Survey and Outlook of Recent Work—0
Robust Saliency-Aware Distillation for Few-shot Fine-grained Visual Recognition—0
Dynamic Conceptional Contrastive Learning for Generalized Category DiscoveryCode1
ELFIS: Expert Learning for Fine-grained Image Recognition Using Subsets—0
Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition ProblemsCode1
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