Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Deeplabv3plus Pytorch | 1,010 | a year ago | 51 | mit | Python | |||||
Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes | ||||||||||
Pytorch Auto Drive | 713 | 7 months ago | 30 | bsd-3-clause | Python | |||||
PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help | ||||||||||
Tensorflow Deeplab V3 Plus | 637 | 4 years ago | 54 | mit | Python | |||||
DeepLabv3+ built in TensorFlow | ||||||||||
Espnetv2 | 375 | 3 years ago | mit | Python | ||||||
A light-weight, power efficient, and general purpose convolutional neural network | ||||||||||
Edgenets | 340 | 3 years ago | 2 | mit | Python | |||||
This repository contains the source code of our work on designing efficient CNNs for computer vision | ||||||||||
U2pl | 289 | a year ago | apache-2.0 | Python | ||||||
[CVPR'22] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels | ||||||||||
Robust Detection Benchmark | 106 | 5 years ago | 1 | mit | Jupyter Notebook | |||||
Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD) | ||||||||||
Dst Cbc | 106 | 2 years ago | 4 | bsd-3-clause | Python | |||||
Implementation of our Pattern Recognition paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning" | ||||||||||
Reco | 78 | 2 years ago | other | Python | ||||||
The implementation of "Bootstrapping Semantic Segmentation with Regional Contrast" [ICLR 2022]. | ||||||||||
Chainer Pspnet | 76 | 6 years ago | 5 | Python | ||||||
PSPNet in Chainer |