Patch Matching
32 papers with code • 2 benchmarks • 4 datasets
Benchmarks
These leaderboards are used to track progress in Patch Matching
| Trend | Dataset | Best Model | Paper | Code | Compare |
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HPatches
VIPeR
ETH SfM
PhotoSynth
Latest papers
FastBlend: a Powerful Model-Free Toolkit Making Video Stylization Easier
In the interpolation mode, FastBlend surpasses video interpolation and model-based video processing approaches.
RobustMat: Neural Diffusion for Street Landmark Patch Matching under Challenging Environments
For autonomous vehicles (AVs), visual perception techniques based on sensors like cameras play crucial roles in information acquisition and processing.
PW-Self: Patch-Wise Self-Supervised Visual Representation Learning
alijavidani/local_global_representation_learning
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To this end, we present a simple yet effective patch-matching algorithm that can find the corresponding patches across the augmented views.
2D3D-MATR: 2D-3D Matching Transformer for Detection-free Registration between Images and Point Clouds
minhaolee/2d3dmatr
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ICCV 2023
The commonly adopted detect-then-match approach to registration finds difficulties in the cross-modality cases due to the incompatible keypoint detection and inconsistent feature description.
HybridPoint: Point Cloud Registration Based on Hybrid Point Sampling and Matching
Firstly, we propose to use salient points with prominent local features as nodes to increase patch repeatability, and introduce some uniformly distributed points to complete the point cloud, thus constituting hybrid points.
Mask-Free Video Instance Segmentation
syscv/maskfreevis
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CVPR 2023
A consistency loss is then enforced on the found matches.
Patch-Craft Self-Supervised Training for Correlated Image Denoising
Our algorithm constructs artificial patch-craft images from these bursts by patch matching and stitching, and the obtained crafted images are used as targets for the training.
Attention Concatenation Volume for Accurate and Efficient Stereo Matching
Stereo matching is a fundamental building block for many vision and robotics applications.
Generalized Closed-form Formulae for Feature-based Subpixel Alignment in Patch-based Matching
In this paper, we show that closed form formulae for subpixel disparity computation for the case of one dimensional matching, e. g., in the case of rectified stereo images where the search space is of one dimension, exists when using the standard NCC, SSD and SAD cost functions.
Sparse Spatial Transformers for Few-Shot Learning
Finally, we propose using an image patch-matching module to calculate the distance between dense local representations, thus determining which category the query image belongs to in the support set.
