SCNet: Learning Semantic Correspondence (original) (raw)

Learning Semantic Correspondence Exploiting an Object-level Prior

Jean Ponce

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020

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Learning Contrastive Representation for Semantic Correspondence

Ming-Hsuan Yang

International Journal of Computer Vision, 2022

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Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence

Minsu Cho

arXiv (Cornell University), 2021

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Convolutional Neural Network Architecture for Geometric Matching

Ignacio Rocco

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019

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Dual-Resolution Correspondence Networks

Shuda Li

ArXiv, 2020

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SPair-71k: A Large-scale Benchmark for Semantic Correspondence

Jean Ponce

arXiv (Cornell University), 2019

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Learning to Compose Hypercolumns for Visual Correspondence

Minsu Cho

Computer Vision – ECCV 2020

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Hyperpixel Flow: Semantic Correspondence With Multi-Layer Neural Features

Minsu Cho

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019

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Proposal Flow: Semantic Correspondences from Object Proposals

Minsu Cho, Jean Ponce

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Correspondence Networks With Adaptive Neighbourhood Consensus

Shuda Li

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

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Semantic Matching by Weakly Supervised 2D Point Set Registration

zakaria laskar

2019 IEEE Winter Conference on Applications of Computer Vision (WACV)

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Learning Spatial Relations with a Standard Convolutional Neural Network

Mandy Bath

2020

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Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences

Mohammed Fathy

Computer Vision – ECCV 2018, 2018

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XResolution Correspondence Networks

Shuda Li

ArXiv, 2020

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Domain-Invariant Stereo Matching Networks

Benjamin Wah

Lecture Notes in Computer Science, 2020

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Structured Set Matching Networks for One-Shot Part Labeling

Jonghyun Choi

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018

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WarpNet: Weakly Supervised Matching for Single-View Reconstruction

Angjoo Kanazawa

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

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Stereo Object Matching Network

In Kweon

2021 IEEE International Conference on Robotics and Automation (ICRA), 2021

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A Convolutional Attention Residual Network for Stereo Matching

Kanoksak Wattanachote

IEEE Access, 2020

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Exhaustive Search of Correspondences between Multimodal Remote Sensing Images Using Convolutional Neural Network

Kacem Chehdi

Sensors, 2022

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Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints From Limited Training Data

Yutong Bai

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019

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MCNet: Multiscale Clustering Network for Two-View Geometry Learning and Feature Matching

IEEE/CAA J. Autom. Sinica

IEEE/CAA Journal of Automatica Sinica, 2023

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SuperNCN: Neighbourhood Consensus Network for Robust Outdoor Scenes Matching

Grzegorz Kurzejamski

Lecture Notes in Computer Science, 2020

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Dual-Resolution Correspondence Networks –Supplementary Material–

Shuda Li

2020

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SwiDeN : Convolutional Neural Networks For Depiction Invariant Object Recognition

Santosh Ravi Kiran Sarvadevabhatla, SHIV SURYA, Srinivas Kruthiventi, Venkatesh Babu

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iSPA-Net: Iterative Semantic Pose Alignment Network

Aditya Prakash 04

2018

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Learning Dense Correspondence from Synthetic Environments

Nuredin Habili

arXiv (Cornell University), 2022

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Axial Assembled Correspondence Network for Few-Shot Semantic Segmentation

IEEE/CAA J. Autom. Sinica

IEEE/CAA Journal of Automatica Sinica, 2023

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Solving the same-different task with convolutional neural networks

NICOLA MESSINA

Pattern Recognition Letters, 2021

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