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3d-resnets-pytorch

3D ResNets for Action Recognition

action-detection

temporal action detection with SSN

active-learning

adaptsegnet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

adgpm

Rethinking Knowledge Graph Propagation for Zero-Shot Learning

awesome-action-recognition

A curated list of action recognition and related area resources

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

awesome-incremental-learning

Awesome Incremental Learning

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

benchmark_results

Visual Tracking Paper List

c3d_pytorch

Simple C3D (3D convolutional Network) in Pytorch

centernet

Object detection, 3D detection, and pose estimation using center point detection:

codetools

crowd-counting-scnn

This project is an implementation of the crowd counting model proposed in our CVPR 2017 paper - Switching Convolutional Neural Network(SCNN) for Crowd Counting. SCNN is an adaptation of the fully-convolutional neural network and uses an expert CNN that chooses the best crowd density CNN regressor for parts of the scene from a bag of regressors. This helps it tackle intra-scene crowd density variation and obtain SOTA results

crowd_density_segmentation

The code for preparing the training data for crowd counting / segmentation algorithm.

crowdcount-cascaded-mtl

Single Image Crowd Counting (CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting)

csrnet-pytorch

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

ct-net

CT-Net: Channel Tensorization Network for Video Classification

da-net

Code for IEEE Access paper "DA-Net: Learning the fine-grained density distribution with deformation aggregation network"

darts

Differentiable architecture search for convolutional and recurrent networks

deep-ncl

The codes for CVPR-2018 paper "Crowd Counting with Deep Negative Correlation Learning"

deepmask-pytorch

PyTorch re-implementation of DeepMask

dianet

The official implementation of paper "DIANet:Dense-and-Implicit-Attention-Network".

did-mdn

Density-aware Single Image De-raining using a Multi-stream Dense Network

duallearning

A dual learning toolkit developed by Microsoft Research

eco-efficient-video-understanding

Code and models of paper " ECO: Efficient Convolutional Network for Online Video Understanding"

eco-pytorch

enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

examples

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

fcrn_pytorch

FCRN implemented in Pytorch 4.0