Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
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Updated
Mar 7, 2023 - Python
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild. ECCV 2022.
[CVPR 2017] Unsupervised deep learning using unlabelled videos on the web
[IROS23] InsMOS: Instance-Aware Moving Object Segmentation in LiDAR Data
[CVPR 2023 Highlight 💡] Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision
This repo contains Python scripts to apply a Dense CRF to refine outputs from a motion segmentation algorithm.
Robust motion detection/segmentation using OpenCV
Motion Segmentation for Neuromorphic Aerial Surveillance
Proposed Self-Supervised Approach for Sparse to Dense Motion Segmentation
[ECCV 2024] RoDUS: Robust Decomposition of Static and Dynamic Elements in Urban Scenes
ML research to segment scene from moving ego vehicle into static and dynamic pixels
Website for our 3DV 2021 paper "Self-Supervised Monocular Scene Decomposition and Depth Estimation".
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