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pytorch-semseg

Semantic Segmentation Architectures Implemented in PyTorch

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

pytorch_hmr

pytorch version of "End-to-end Recovery of Human Shape and Pose"

pytorch_memlab

Profiling and inspecting memory in pytorch

randla-net

🔥RandLA-Net in Tensorflow (CVPR 2020, Oral)

ransac-flow

RANSAC-Flow: generic two-stageimage alignment

rbx1

ROS By Example Volume 1

really-awesome-semantic-segmentation

A list of papers on Semantic Segmentation.

realtime_multi-person_pose_estimation

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

receptive-field-in-pytorch

Numerical Computation of Receptive Field in Pytorch

resume

LaTeX resume format

riav-mvs.github.io

Project homepage for RIAV-MVS: Recurrent-Indexing an Asymmetric Volume for Multi-View Stereo

rloss

Regularized Losses (rloss) for Weakly-supervised CNN Segmentation

samplenet

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

seam

Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation, CVPR 2020 (Oral)

sean

SEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020, Oral)

sec

Seed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation

sfmlearner

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

sfmlearner-pytorch

Pytorch version of SfmLearner from Tinghui Zhou et al.

shortest-leetcode-python-solutions

Leet Code 刷题笔记 - - 不求最快最省，但求最短最优雅，Shorter is better here.

smplpytorch

SMPL body model layer for PyTorch

spf13-vim

The ultimate vim distribution

splitbrainauto

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.

spoon-knife

This repo is for demonstration purposes only.

ssd-tensorflow

Single Shot MultiBox Detector in TensorFlow

stereo-calibration

:camera: :camera: Stereo camera calibration using OpenCV and C++

stereo-transformer

Official Repo for Stereo Transformer: Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers. (ICCV 2021 Oral)

studynotes

supergluepretrainednetwork

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

superpixel_fcn

[CVPR‘20] SpixelFCN: Superpixel Segmentation with Fully Convolutional Network