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
Most implemented papers
A Large Dataset for Improving Patch Matching
Similarly on the Strecha dataset, we see an improvement of 3-5% for the matching task in non-planar scenes.
TS-Net: Combining modality specific and common features for multimodal patch matching
ensv/TS-Net
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Multimodal patch matching addresses the problem of finding the correspondences between image patches from two different modalities, e. g. RGB vs sketch or RGB vs near-infrared.
CrossNet: An End-to-end Reference-based Super Resolution Network using Cross-scale Warping
htzheng/ECCV2018_CrossNet_RefSR
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ECCV 2018
The Reference-based Super-resolution (RefSR) super-resolves a low-resolution (LR) image given an external high-resolution (HR) reference image, where the reference image and LR image share similar viewpoint but with significant resolution gap x8.
Semi-Supervised Learning for Face Sketch Synthesis in the Wild
chaofengc/Face-Sketch-Wild
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Instead of supervising the network with ground truth sketches, we first perform patch matching in feature space between the input photo and photos in a small reference set of photo-sketch pairs.
SOLAR: Second-Order Loss and Attention for Image Retrieval
tonyngjichun/SOLAR
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ECCV 2020
One is focused on second-order spatial information to increase the performance of image descriptors, both local and global.
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
oskyhn/CNNs-Without-Borders
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CVPR 2020
In this paper we challenge the common assumption that convolutional layers in modern CNNs are translation invariant.
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation
tensorflow/models
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ECCV 2020
We view this work as a notable step towards building a simple procedure to harness unlabeled video sequences and extra images to surpass state-of-the-art performance on core computer vision tasks.
HyNet: Learning Local Descriptor with Hybrid Similarity Measure and Triplet Loss
yuruntian/HyNet
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NeurIPS 2020
Recent works show that local descriptor learning benefits from the use of L2 normalisation, however, an in-depth analysis of this effect lacks in the literature.
Attention-Based Multimodal Image Matching
CodeJjang/multiscale-attention-patch-matching
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We propose an attention-based approach for multimodal image patch matching using a Transformer encoder attending to the feature maps of a multiscale Siamese CNN.
Patch Craft: Video Denoising by Deep Modeling and Patch Matching
grishavak/PaCNet-denoiser
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ICCV 2021
Our algorithm augments video sequences with patch-craft frames and feeds them to a CNN.
