Pinned Repositories
A2-FPN
AC-FPN
Implement of paper 《Attention-guided Context Feature Pyramid Network for Object Detection》
acm-pytorch
The implement of paper "Asymmetric Contextual Modulation for Infrared Small Target Detection" in Pytorch
AGLN
AGPCNet
Official Implementation of Attention-Guided Pyramid Context Networks for Infrared Small Target Detection
AirSim
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
ANN
semantic segmentation，pytorch，non-local
ASFF
yolov3 with mobilenet v2 and ASFF
C2FNet
build
RePaint-Inpainting-using-Denoising-Diffusion-Probabilistic-Models
Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022
Yidan-Zhang's Repositories
Yidan-Zhang/RePaint-Inpainting-using-Denoising-Diffusion-Probabilistic-Models
Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022
Yidan-Zhang/AGLN
Yidan-Zhang/awesome-rl
Reinforcement learning resources curated
Yidan-Zhang/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)
Yidan-Zhang/BGNet
Boundary-Guided Camouflaged Object Detection
Yidan-Zhang/ContrastiveSeg
ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Yidan-Zhang/CVPR-2022-papers
CVPR 2022 papers with code (论文及代码）
Yidan-Zhang/CvPytorch
CvPytorch is an open source COMPUTER VISION toolbox based on PyTorch.
Yidan-Zhang/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
Yidan-Zhang/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Yidan-Zhang/Diffusion-based-Segmentation
This is the official Pytorch implementation of the paper "Diffusion Models for Implicit Image Segmentation Ensembles".
Yidan-Zhang/DLSN
This project is for DLSN introduced in the following paper "Global Learnable Attention for Single Image Super-Resolution".
Yidan-Zhang/Graphormer
Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.
Yidan-Zhang/iaanet-Interior-Attention-Aware-Network-for-Infrared-Small-Target-Detection
(TGRS 2022) Paper: Interior Attention-Aware Network for Infrared Small Target Detection
Yidan-Zhang/MIRST_dataset
A large-scale multi-scene dataset constructed for single-frame infrared small target detection.
Yidan-Zhang/MTUNet
Yidan-Zhang/Multi-level-TransUNet-for-Space-based-Infrared-Tiny-ship-Detection
Yidan-Zhang/PaddleSeg
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, etc.
Yidan-Zhang/Practical_RL
A course in reinforcement learning in the wild
Yidan-Zhang/pytorch-grad-cam
Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM
Yidan-Zhang/PyTorch-Networks
Pytorch implementation of cnn network
Yidan-Zhang/Reinforcement-Implementation
Implementation of benchmark RL algorithms
Yidan-Zhang/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Yidan-Zhang/RepLKNet-pytorch
Yidan-Zhang/SETR
[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Yidan-Zhang/SPFNet
SPFNet
Yidan-Zhang/spinningup
An educational resource to help anyone learn deep reinforcement learning.
Yidan-Zhang/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Yidan-Zhang/UCTransNet
Implementation of our AAAI'22 work: "UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer".
Yidan-Zhang/UTNet
Official implementation of UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation