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dangxusheng's Projects

albumentations icon albumentations

Fast image augmentation library and easy to use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about library: https://www.mdpi.com/2078-2489/11/2/125

attention-module icon attention-module

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

au_r-cnn icon au_r-cnn

official implementation code of paper: "AU R-CNN:Encoding Expert Prior Knowledge into R-CNN for Action Unit Detection"

aunets icon aunets

Pytorch implementation of Multi-View Dynamic Facial Action Unit Detection, Image and Vision Computing (2018)

awesome-fer icon awesome-fer

🔆 Top conferences & Journals focused on Facial expression recognition (FER)/ Facial action unit (FAU) 💫 ✨

awesome-llm-robotics icon awesome-llm-robotics

A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites

awesome-pytorch-list icon awesome-pytorch-list

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

basnet icon basnet

Code for CVPR 2019 paper. BASNet: Boundary-Aware Salient Object Detection

book_nbs icon book_nbs

Notebooks for upcoming fastai book (draft / incomplete)

caffe-builder icon caffe-builder

CMake build scripts to automate building the Caffe library and its dependencies.

caffe-ssd icon caffe-ssd

Caffe: a fast open framework for deep learning.

captum icon captum

Model interpretability and understanding for PyTorch

cartographer icon cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

cdcn icon cdcn

Central Difference Convolutional Networks

cifar10-tensorflow icon cifar10-tensorflow

cifar10数据集上进行图片分类,基于tensorflow框架,旨在探究不同的改进策略对分类准确率的影响,如何一步步得提高准确率

coursera-ml-py icon coursera-ml-py

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

cvpr2019 icon cvpr2019

cvpr2019/cvpr2018/cvpr2019 papers,极市团队整理

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