https://github.com/MindSpore-scientific/code-14/tree/main/robustness_depth_lang
Depth-Aware Multi-Grid Deep Homography Estimation with Contextual Correlation
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/Phirxian/phd-airphen-alignment
https://github.com/Skye-Jiang/SuperPoint-Acceleration
SuperPoint: Self-Supervised Interest Point Detection and Description
https://github.com/Thomacdebabo/KP2Dtiny
SuperPoint: Self-Supervised Interest Point Detection and Description
https://github.com/Zasumn/Double_Net_Distillation
SuperPoint: Self-Supervised Interest Point Detection and Description
https://github.com/alekseychuiko/SuperPointMagic
SuperPoint: Self-Supervised Interest Point Detection and Description
https://github.com/alekseychuiko/SuperPointMmmfarrell
SuperPoint: Self-Supervised Interest Point Detection and Description
https://github.com/alekseychuiko/Superpoint
SuperPoint: Self-Supervised Interest Point Detection and Description
https://github.com/aliyun/Self-Evolving-Keypoint-Demo
https://github.com/annbless/ovs_stabilization
DUT: Learning Video Stabilization by Simply Watching Unstable Videos
https://github.com/bhyun-kim/superpoint-jax
SuperPoint: Self-Supervised Interest Point Detection and Description
https://github.com/borglab/gtsfm
SuperPoint: Self-Supervised Interest Point Detection and Description
https://github.com/danini/homography-from-sift-features
Homography from two orientation- and scale-covariant features
https://github.com/ducha-aiki/pydegensac
https://github.com/ducha-aiki/pymagsac
https://github.com/eivan/multiview-LAFs-correction
https://github.com/eric-yyjau/pytorch-superpoint
SuperPoint: Self-Supervised Interest Point Detection and Description
https://github.com/fabio-sim/LightGlue-ONNX
SuperPoint: Self-Supervised Interest Point Detection and Description
https://github.com/fjbriones/deep-homography
https://github.com/fkluger/nyu_vp
CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus
https://github.com/fkluger/yud_plus
CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus
https://github.com/gabriel-sgama/semantic-superpoint
SuperPoint: Self-Supervised Interest Point Detection and Description
https://github.com/huggingface/transformers
SuperPoint: Self-Supervised Interest Point Detection and Description
https://github.com/ibaiGorordo/Pytorch-KP2D-Feature-Tracking
Neural Outlier Rejection for Self-Supervised Keypoint Learning
https://github.com/kimphys/UnsuperPoint.pytorch
UnsuperPoint: End-to-end Unsupervised Interest Point Detector and Descriptor
https://github.com/magicleap/SuperGluePretrainedNetwork
SuperPoint: Self-Supervised Interest Point Detection and Description
https://github.com/mazenmel/Deep-homography-estimation-Pytorch
https://github.com/mez/deep_homography_estimation
https://github.com/mm4spa/tvcalib
TVCalib: Camera Calibration for Sports Field Registration in Soccer
https://github.com/naver/kapture
https://github.com/omercohen93/superpoint-pytorch
SuperPoint: Self-Supervised Interest Point Detection and Description
https://github.com/peterfws/structure-plp-slam
Visual SLAM with Graph-Cut Optimized Multi-Plane Reconstruction
https://github.com/picotank/testproject
SuperPoint: Self-Supervised Interest Point Detection and Description
https://github.com/pwc-1/Paper-10/tree/main/superpoint
SuperPoint: Self-Supervised Interest Point Detection and Description
https://github.com/richard-guinto/homographynet
https://github.com/rpautrat/SuperPoint
SuperPoint: Self-Supervised Interest Point Detection and Description
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.