Co-occurring keywords · papers mentioning both
Papers
Matching in the Dark: A Dataset for Matching Image Pairs of Low-Light Scenes
ICCV 2021
Patch2Pix: Epipolar-Guided Pixel-Level Correspondences
CVPR 2021
PatchMatch-Based Neighborhood Consensus for Semantic Correspondence
CVPR 2021
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow (Extended Abstract)
IJCAI 2021
The Animation Transformer: Visual Correspondence via Segment Matching
ICCV 2021
TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification
NeurIPS 2021
Vector Semantic Representations as Descriptors for Visual Place Recognition
RSS 2021
Warp Consistency for Unsupervised Learning of Dense Correspondences
ICCV 2021
Extracting identifying contours for African elephants and humpback whales using a learned appearance model
WACV 2020
GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences
CVPR 2020
HyNet: Learning Local Descriptor with Hybrid Similarity Measure and Triplet Loss
NeurIPS 2020
Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task
CVPR 2020
Robust estimation of local affine maps and its applications to image matching
WACV 2020
ScopeFlow: Dynamic Scene Scoping for Optical Flow
CVPR 2020
Semantic Correspondence as an Optimal Transport Problem
CVPR 2020
Bridging the Domain Gap for Ground-to-Aerial Image Matching
ICCV 2019
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
CVPR 2019
Discovering Visual Patterns in Art Collections With Spatially-Consistent Feature Learning
CVPR 2019
Dynamic Context Correspondence Network for Semantic Alignment
ICCV 2019
Modeling Uncertainty with Hedged Instance Embeddings
ICLR 2019
Near Optimal Algorithms for Hard Submodular Programs with Discounted Cooperative Costs
AISTATS 2019
On the Intrinsic Dimensionality of Image Representations
CVPR 2019
Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training
CVPR 2019
QATM: Quality-Aware Template Matching for Deep Learning
CVPR 2019
RF-Net: An End-To-End Image Matching Network Based on Receptive Field
CVPR 2019