Stars
A curated list of Continual Learning papers and BibTeX entries
A collection of AWESOME things about image matting.
A curated list of resources for Learning with Noisy Labels
Video Object Segmentation with Episodic Graph Memory Networks (ECCV2020 spotlight)
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
PyTorch package for the discrete VAE used for DALL·E.
Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.
2020-2021年计算机视觉综述论文分方向整理
手把手教你使用 EndNote X9/NoteExpress
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Image augmentation for machine learning experiments.
training script for space time memory network
A series of basic algorithms that are useful for video understanding, including Single Object Tracking (SOT), Video Object Segmentation (VOS) and so on.
Python optical flow visualization following Baker et al. (ICCV 2007) as used by the MPI-Sintel challenge
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
🐍 Geometric Computer Vision Library for Spatial AI
RANet: Ranking Attention Network for Fast Video Object Segmentation (VOS), ICCV2019
Pytorch implementation of convolutional neural network visualization techniques
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Image augmentation library in Python for machine learning.
A Python tool for automatic constructing and downloading paper list
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Code for computing interpolating / approximating thin plate splines.
Transforms for video datasets in pytorch