本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
In-depth tutorials for implementing deep learning models on your own with PyTorch.
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
Referring Expression Datasets API
The 3rd edition of course.fast.ai
Inference Code for Polygon-RNN++ (CVPR 2018)
An out-of-box human parsing representation extractor.
Referring Expression Object Segmentation with Caption-Aware Consistency, BMVC 2019
DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes
DeepLab resnet v2 model in pytorch
Pytorch implementation of Feature Pyramid Network (FPN) for Object Detection
DeepLab v3+ model in PyTorch. Support different backbones.
A PyTorch Implementation of Single Shot MultiBox Detector
Code for "Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views" in CVPR'19
A simple, fully convolutional model for real-time instance segmentation.
Code for Referring Image Segmentation via Cross-Modal Progressive Comprehension, CVPR2020
COCO API - Dataset @ http://cocodataset.org/
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
source code of the 2020 graduation project