Papers with Code 아카이브
Interest Point Detection
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Annbless/DUTCode
공식 코드DUT: Learning Video Stabilization by Simply Watching Unstable Videos
https://github.com/GrumpyZhou/patch2pix
공식 코드https://github.com/JirongZhang/DeepHomography
공식 코드https://github.com/KonstantinPakulev/BoNeSS-ST
공식 코드https://github.com/MingzhenShao/Homography_estimation
공식 코드Analyzing the Domain Shift Immunity of Deep Homography Estimation
https://github.com/NeurAI-Lab/biHomE
공식 코드Perceptual Loss for Robust Unsupervised Homography Estimation
https://github.com/SRainGit/CAE-LO
공식 코드https://github.com/Shiaoming/ALIKE
공식 코드ALIKE: Accurate and Lightweight Keypoint Detection and Descriptor Extraction
https://github.com/Shiaoming/ALIKED
공식 코드ALIKED: A Lighter Keypoint and Descriptor Extraction Network via Deformable Transformation
https://github.com/TRI-ML/KP2D
공식 코드Neural Outlier Rejection for Self-Supervised Keypoint Learning
https://github.com/aliyoussef97/silk-prp
공식 코드https://github.com/apple/ml-aspanformer
공식 코드ASpanFormer: Detector-Free Image Matching with Adaptive Span Transformer
https://github.com/arplaboratory/STHN
공식 코드STHN: Deep Homography Estimation for UAV Thermal Geo-localization with Satellite Imagery
https://github.com/arplaboratory/UASTHN
공식 코드UASTHN: Uncertainty-Aware Deep Homography Estimation for UAV Satellite-Thermal Geo-localization
https://github.com/bbenligiray/stag
공식 코드https://github.com/cvg/lightglue
공식 코드https://github.com/danini/affine-correspondences-for-camera-geometry
공식 코드Making Affine Correspondences Work in Camera Geometry Computation
https://github.com/danini/graph-cut-ransac
공식 코드https://github.com/danini/homography-benchmark
공식 코드https://github.com/danini/magsac
공식 코드https://github.com/facebookresearch/silk
공식 코드https://github.com/fkluger/consac
공식 코드CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus
https://github.com/gmberton/EarthMatch
공식 코드EarthMatch: Iterative Coregistration for Fine-grained Localization of Astronaut Photography
https://github.com/imdumpl78/ihn
공식 코드https://github.com/jamycheung/matchformer
공식 코드MatchFormer: Interleaving Attention in Transformers for Feature Matching
https://github.com/junchen-yu/internet
공식 코드https://github.com/lcmhoang/hmg-dynamics
공식 코드https://github.com/lijx10/USIP
공식 코드USIP: Unsupervised Stable Interest Point Detection from 3D Point Clouds
https://github.com/liuyike422/codinghomo
공식 코드https://github.com/lu-feng/dhe-vpr
공식 코드https://github.com/lyh200095/srmatcher
공식 코드Semantic-aware Representation Learning for Homography Estimation
https://github.com/lyp-deeplearning/liftfeat
공식 코드https://github.com/magicleap/DELTAS
공식 코드DELTAS: Depth Estimation by Learning Triangulation And densification of Sparse points
https://github.com/magicleap/SuperPointPretrainedNetwork
공식 코드SuperPoint: Self-Supervised Interest Point Detection and Description
https://github.com/megvii-research/baseshomo
공식 코드Motion Basis Learning for Unsupervised Deep Homography Estimation with Subspace Projection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.