Tianshui Chen's repositories
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
Awesome-Multi-label-Image-Recognition
Everything about Multi-label Image Recognition.
2021-CV-Surveys
2021 年，计算机视觉相关综述。包括目标检测、跟踪........
Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
CV_interviews_Q-A
CV算法岗知识点及面试问答汇总，主要分为计算机视觉、机器学习、图像处理和 C++基础四大块，一起努力向offers发起冲击！
Advances-in-Label-Noise-Learning
A curated (most recent) list of resources for Learning with Noisy Labels
awesome-deep-text-detection-recognition
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
Awesome-Image-Composition
A curated list of papers, code and resources pertaining to image composition, including image blending, image harmonization, shadow generation, and object placement.
Awesome-Image-Matting
:notebook: A curated list of deep learning image matting papers and codes
Awesome-Knowledge-Distillation
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
Awesome-person-re-identification
Awesome Person Re-identification
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
awesome_3DReconstruction_list
A curated list of papers & resources linked to 3D reconstruction from images.
DeepLearningExamples
Deep Learning Examples
Fine-Grained-Image-Captioning
The pytorch implementation on “Fine-Grained Image Captioning with Global-Local Discriminative Objective”
handwriting-synthesis
Handwriting Synthesis with RNNs ✏️
libfacedetection
An open source library for face detection in images. The face detection speed can reach 1500FPS.
machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1500+页)和视频链接
NeuralRecon
Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral
PRNet
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)
Production-Level-Deep-Learning
This repo attempts to serve as a guideline for building practical production-level deep learning systems to be deployed in real world applications.
Scene-Graph-Benchmark.pytorch
A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”
yolov3-tf2
YoloV3 Implemented in Tensorflow 2.0