ReCalMatch:Reliability-Calibrated Semantic Guidance for Semi-Supervised Fine-Grained Recognition
cs.CV, cs.AI
Submitted: 2026-08-30
Updated: 2026-08-30
Terminology
Sources
- ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring
- AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation
- SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
- Context-Based Semantic-Aware Alignment for Semi-Supervised Multi-Label Learning
- Revisiting Chain-of-Thought Reasoning under Limited Supervision: Semi-supervised Chain-of-Thought Learning
- Semi-Supervised Vision-Language-Action Model
- Weakly Supervised Bilinear Attention Network for Fine-Grained Visual Classification
- SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning
- Temporal Ensembling for Semi-Supervised Learning
- Triple Expert Learning from Noisy Labels for Semi-Supervised Vision Foundation Model Adaptation
- Multi-Grained Cross-modal Alignment for Learning Open-vocabulary Semantic Segmentation from Text Supervision
- Feature Fusion Vision Transformer for Fine-Grained Visual Categorization
- FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
- USB: A Unified Semi-supervised Learning Benchmark for Classification
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