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PyTorch Tutorial for Deep Learning Researchers
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
A Deep Learning based project for colorizing and restoring old images (and video!)
A paper list of object detection using deep learning.
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A PyTorch implementation of EfficientNet
Minimal PyTorch implementation of YOLOv3
Object detection, 3D detection, and pose estimation using center point detection:
A PyTorch Implementation of Single Shot MultiBox Detector
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
Torchreid: Deep learning person re-identification in PyTorch.
⛹️ Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
SOTA Re-identification Methods and Toolbox
A PyTorch implementation of the YOLO v3 object detection algorithm
Visual tracking library based on PyTorch.
Siamese and triplet networks with online pair/triplet mining in PyTorch
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
Python 中文数据结构和算法教程
Joint Detection and Embedding for fast multi-object tracking
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
novel deep learning research works with PaddlePaddle
FSL-Mate: A collection of resources for few-shot learning (FSL).
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. In ECCV2018.
Translate images to unseen domains in the test time with few example images.
Open source person re-identification library in python
👫 Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral) 👫