Self-Supervised Equivariant Learning for Oriented Keypoint Detection

Self-Supervised Equivariant Learning for Oriented Keypoint Detection

19 April 2022

Papers citing "Self-Supervised Equivariant Learning for Oriented Keypoint Detection"

19 / 19 papers shown

Title
Good Keypoints for the Two-View Geometry Estimation Problem Konstantin Pakulev Alexander Vakhitov Gonzalo Ferrer 39 0 0 24 Mar 2025
DaD: Distilled Reinforcement Learning for Diverse Keypoint Detection Johan Edstedt Georg Bökman Mårten Wadenbäck Michael Felsberg 35 0 0 10 Mar 2025
Ext2Gen: Alignment through Unified Extraction and Generation for Robust Retrieval-Augmented Generation Hwanjun Song J. Choi Minseok Kim RALM 3DV 68 0 0 28 Feb 2025
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction Jongmin Lee Minsu Cho 44 1 0 01 Nov 2024
Affine steerers for structured keypoint description Georg Bökman Johan Edstedt Michael Felsberg Fredrik Kahl LLMSV 36 2 0 26 Aug 2024
Learning to Make Keypoints Sub-Pixel Accurate Shinjeong Kim Marc Pollefeys Dániel Baráth 36 4 0 16 Jul 2024
Residual Learning for Image Point Descriptors Rashik Shrestha Ajad Chhatkuli Menelaos Kanakis Luc Van Gool 22 0 0 24 Dec 2023
Steerers: A framework for rotation equivariant keypoint descriptors Georg Bökman Johan Edstedt Michael Felsberg Fredrik Kahl LLMSV 31 10 0 04 Dec 2023
RIDE: Self-Supervised Learning of Rotation-Equivariant Keypoint Detection and Invariant Description for Endoscopy Mert Asim Karaoglu Viktoria Markova Nassir Navab Benjamin Busam A. Ladikos 27 4 0 18 Sep 2023
S-TREK: Sequential Translation and Rotation Equivariant Keypoints for local feature extraction E. Santellani Christian Sormann Mattia Rossi Andreas Kuhn Friedrich Fraundorfer 13 7 0 28 Aug 2023
NeSS-ST: Detecting Good and Stable Keypoints with a Neural Stability Score and the Shi-Tomasi Detector Konstantin Pakulev Alexander Vakhitov Gonzalo Ferrer 11 0 0 03 Jul 2023
Searching from Area to Point: A Hierarchical Framework for Semantic-Geometric Combined Feature Matching Yesheng Zhang Xu Zhao Dahong Qian 17 0 0 29 Apr 2023
Learning Rotation-Equivariant Features for Visual Correspondence Jongmin Lee Byung-soo Kim Seungwook Kim Minsu Cho SSL 16 23 0 25 Mar 2023
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works Chao Tao Ji Qi Mingning Guo Qing Zhu Haifeng Li SSL 21 56 0 15 Nov 2022
SIM2E: Benchmarking the Group Equivariant Capability of Correspondence Matching Algorithms Shuai Su Zhongkai Zhao Yixin Fei Shuda Li Qijun Chen Rui Fan 8 1 0 21 Aug 2022
E2PN: Efficient SE(3)-Equivariant Point Network Minghan Zhu Maani Ghaffari W. A. Clark Huei Peng 3DPC 16 18 0 11 Jun 2022
Adaptive Reordering Sampler with Neurally Guided MAGSAC Tong Wei Jirí Matas Dániel Baráth 20 4 0 28 Nov 2021
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 151 308 0 05 Nov 2018
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,194 0 01 Sep 2014