matching.md

Matching

• (CVPR'21') LoFTR: Detector-Free Local Feature Matching with Transformers, [Paper], [Code]
• (arXiv 2022.02) Local Feature Matching with Transformers for low-end devices, [Paper], [Code]
• (arXiv 2022.02) CATs++: Boosting Cost Aggregation with Convolutions and Transformers, [Paper], [Code]
• (arXiv 2022.03) MatchFormer: Interleaving Attention in Transformers for Feature Matching, [Paper], [Code]
• (arXiv 2022.05) TransforMatcher: Match-to-Match Attention for Semantic Correspondence, [Paper], [Code]
• (arXiv 2022.07) Deep Laparoscopic Stereo Matching with Transformers, [Paper]
• (arXiv 2022.08) ASpanFormer: Detector-Free Image Matching with Adaptive Span Transformer, [Paper], [Project]
• (arXiv 2023.01) DeepMatcher: A Deep Transformer-based Network for Robust and Accurate Local Feature Matching, [Paper], [Code]
• (arXiv 2023.03) ParaFormer: Parallel Attention Transformer for Efficient Feature Matching, [Paper]
• (arXiv 2023.03) Improving Transformer-based Image Matching by Cascaded Capturing Spatially Informative Keypoints, [Paper]
• (arXiv 2023.03) Adaptive Spot-Guided Transformer for Consistent Local Feature Matching, [Paper], [Code]
• (arXiv 2023.05) AMatFormer: Efficient Feature Matching via Anchor Matching Transformer, [Paper]
• (arXiv 2023.08) Multi-scale Alternated Attention Transformer for Generalized Stereo Matching, [Paper]
• (arXiv 2023.10) FMRT: Learning Accurate Feature Matching with Reconciliatory Transformer, [Paper]
• (arXiv 2023.11) LGFCTR: Local and Global Feature Convolutional Transformer for Image Matching, [Paper], [Code]
• (arXiv 2023.12) Latent Space Editing in Transformer-Based Flow Matching, [Paper], [Code]
• (arXiv 2024.04) IFViT: Interpretable Fixed-Length Representation for Fingerprint Matching via Vision Transformer, [Paper]
• (arXiv 2024.04) XoFTR: Cross-modal Feature Matching Transformer, [Paper], [Code]
• (arXiv 2024.05) A Light-weight Transformer-based Self-supervised Matching Network for Heterogeneous Images, [Paper],[[Code]](https://github.com/NUST-Machine- Intelligence-Laboratory/LTFormer)
• (arXiv 2024.05) TP3M: Transformer-based Pseudo 3D Image Matching with Reference, [Paper]
• (arXiv 2024.06) CorrMAE: Pre-training Correspondence Transformers with Masked Autoencoder, [Paper]
• (arXiv 2024.10) ETO:Efficient Transformer-based Local Feature Matching by Organizing Multiple Homography Hypotheses, [Paper]
• (arXiv 2024.10) LoFLAT: Local Feature Matching using Focused Linear Attention Transformer, [Paper]
• (arXiv 2025.01) Hadamard Attention Recurrent Transformer: A Strong Baseline for Stereo Matching Transformer, [Paper],[Code]
• (arXiv 2025.02) Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion, [Paper],[Code]
• (arXiv 2025.03) Normalized Matching Transformer, [Paper],[Code]
• (arXiv 2025.03) CoMatch: Dynamic Covisibility-Aware Transformer for Bilateral Subpixel-Level Semi-Dense Image Matching, [Paper]
• (arXiv 2025.05) RDD: Robust Feature Detector and Descriptor using Deformable Transformer, [Paper],[Code]