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From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
A pytorch implementation of "D4LCN: Learning Depth-Guided Convolutions for Monocular 3D Object Detection"
Deformable Convolutional Networks v2 with Pytorch
Deformable ConvNets V2 (DCNv2) in PyTorch
Depth-aware CNN for RGB-D Segmentation, ECCV 2018
Ensemble Data Association for Monocular Object SLAM
Auto compute the FLOPs of the nerural network with Pytorch.
Tensorflow code for the paper 'Modality Distillation with Multiple Stream Networks for Action Recognition', ECCV 2018
Official PyTorch Implementation for "Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud", ICCVW 2019
Object Detection and Multi-Object Tracking
Project to implement Direct Stereo Semi-dense Visual Odometry and 3D Reconstruction
Object detection in images, and tracking across video frames
PyTorch Implementation of some RGBD Semantic Segmentation models.
Semi-Global Matching
Incremental 3D Line Segment Extraction for Surface Reconstruction from Semi-dense SLAM
SGM,立体匹配最经典应用最广泛算法,4000+引用,兼顾效率和效果。完整实现,代码规范,注释清晰,博客教学,欢迎star!
SNE-RoadSeg in PyTorch, ECCV 2020
Semantic Scene Completion
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