Papers with Code 아카이브
Fine-Grained Visual Recognition
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Efficient Vocabulary-Free Fine-Grained Visual Recognition in the Age of Multimodal LLMs
XR-VLM: Cross-Relationship Modeling with Multi-part Prompts and Visual Features for Fine-Grained Recognition
Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data
Analyzing and Boosting the Power of Fine-Grained Visual Recognition for Multi-modal Large Language Models
Navigating limitations with precision: A fine-grained ensemble approach to wrist pathology recognition on a limited x-ray dataset
Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude Regularization
Towards Generative Class Prompt Learning for Fine-grained Visual Recognition
Extremely Fine-Grained Visual Classification over Resembling Glyphs in the Wild
On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition
Extract More from Less: Efficient Fine-Grained Visual Recognition in Low-Data Regimes
Few-Shot Classification of Interactive Activities of Daily Living (InteractADL)
RAR: Retrieving And Ranking Augmented MLLMs for Visual Recognition
LoDisc: Learning Global-Local Discriminative Features for Self-Supervised Fine-Grained Visual Recognition
Democratizing Fine-grained Visual Recognition with Large Language Models
HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding
Generalized Category Discovery with Clustering Assignment Consistency
Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual Categorization in Few-Shot Conditions
M2Former: Multi-Scale Patch Selection for Fine-Grained Visual Recognition
Recent Advances of Local Mechanisms in Computer Vision: A Survey and Outlook of Recent Work
Robust Saliency-Aware Distillation for Few-shot Fine-grained Visual Recognition
Dynamic Conceptional Contrastive Learning for Generalized Category Discovery
ELFIS: Expert Learning for Fine-grained Image Recognition Using Subsets
Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems
Part-guided Relational Transformers for Fine-grained Visual Recognition
Parsing Objects at a Finer Granularity: A Survey
Penalizing the Hard Example But Not Too Much: A Strong Baseline for Fine-Grained Visual Classification
Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism
MemSAC: Memory Augmented Sample Consistency for Large Scale Unsupervised Domain Adaptation
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition
CLIP-Art: Contrastive Pre-training for Fine-Grained Art Classification
Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition
Do Vision-Language Pretrained Models Learn Composable Primitive Concepts?
Generalized Category Discovery
Few-shot Keypoint Detection with Uncertainty Learning for Unseen Species
An attention-driven hierarchical multi-scale representation for visual recognition
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