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visionresearch's Projects

adelaidet

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

anchor-diff-vos

Anchor Diffusion for Unsupervised Video Object Segmentation

attention-module

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

cspn

Convolutional Spatial Propagation Network

deep_learning_object_detection

A paper list of object detection using deep learning.

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

fcis

Fully Convolutional Instance-aware Semantic Segmentation

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

frtm-vos

Code accompanying the paper Learning Fast and Robust Target Models for Video Object Segmentation

hyperspectral-classification

Hyperspectral-Classification Pytorch

latex

latex入门教程

machine-deep-learning

:wave: ML/DL学习笔记（基础+论文）

mmaction

An open-source toolbox for action understanding based on PyTorch

motion-guided-attention

Motion Guided Attention for Video Salient Object Detection, ICCV 2019

plotneuralnet

Latex code for making neural networks diagrams

pytorch-segmentation-toolbox

PyTorch Implementations for DeeplabV3 and PSPNet

pytorch_flownet2

Off-the-shelf FlowNet module in PyTorch-0.3.0

rcan

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

rdsnet

implement for paper: "RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation"

rvos

RVOS: End-to-End Recurrent Network for Video Object Segmentation (CVPR 2019)

seg-with-spn

Demo code of the paper: "Learning to Segment Instances in Videos with Spatial Propagation Network", in CVPR'17 Workshop on DAVIS Challenge

segloss

A collection of loss functions for medical image segmentation

semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

semseg

Semantic Segmentation in Pytorch

solo

SOLO: Segmenting Objects by Locations https://arxiv.org/abs/1912.04488

video_analyst

A series of basic algorithms that are useful for video understanding, including Single Object Tracking (SOT), Video Object Segmentation (VOS) and so on.

video_prop_networks

Code for our CVPR17 paper on "Video Propagation Networks"

vision

Datasets, Transforms and Models specific to Computer Vision

yolact

A simple, fully convolutional model for real-time instance segmentation.

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