Official implementation of "Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement", NeurIPS 2020.

A Survey on Continual/Incremental Semantic Segmentation

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

Official Repository for Deep Active Lesion Segmentation (DALS)

training script for space time memory network with additional cyclic features

Video Object Segmentation with Episodic Graph Memory Networks (ECCV2020 spotlight)

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

🖖油猴脚本 一个脚本搞定百度网盘下载 https://www.baiduyun.wiki

Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA

A series of basic algorithms which is useful for video understanding, including Single Object Tracking (SOT) , Video Object Segmentation (VOS),

Open Source Differentiable Computer Vision Library for PyTorch

fast image augmentation library and easy to use wrapper around other libraries

Image augmentation library in Python for machine learning.

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

A Python tool for automatic constructing and downloading paper list

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

Pytorch implementation of convolutional neural network visualization techniques

Python optical flow visualization following Baker et al. (ICCV 2007) as used by the MPI-Sintel challenge

Transforms for video datasets in pytorch

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Here is a pytorch implementation of deeplabv3+ supporting ResNet(79.155%) and Xception(79.945%). Multi-scale & flip test and COCO dataset interface has been finished.

A PyTorch implementation of EfficientNet

A Survey and Taxonomy of the Recent GANs Development

RVOS: End-to-End Recurrent Network for Video Object Segmentation

A New Padding Scheme: Partial Convolution based Padding

One has no future if one couldn't teach themself.