它是一个工作流。可快速构建指定架构/平台的docker镜像

Diffusion model papers, survey, and taxonomy

A user-friendly evaluation tool that encompasses all necessary components for boundary detection on PASCAL-Context and NYUD-v2 datasets.

Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression

使用OpenCV部署yolov8检测人脸和关键点，包含C++和Python两个版本的程序，只依赖opencv库就可以运行，彻底摆脱对任何深度学习框架的依赖。

LaTeX files for the Deep Learning book notation

Repo to place the (relatively small) binary libraries

Beamer presentation template for University of Macau

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

[Preprint] Neighborhood Attention Transformer, 2022

High-Efficiency Lossy Image Coding Through Adaptive Neighborhood Information Aggregation

Official implementation of "Universal Deep Image Compression via Content-Adaptive Optimization with Adapters" presented at WACV 23.

Semantic Segmentation in Pytorch

PyTorch implementation and benchmark of Video Compression

Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org

🍰 As lovely as sagiri

A Pytorch Implementation of a continuously rate adjustable learned image compression framework.

GUI for Fancontrol. It uses the KAuth module of the KDE Frameworks 5 to write the generated config file. Furthermore it communicates with systemd via dbus to control the fancontrol service. If you …

Explainability for Vision Transformers

Codebase and pretrained models for ECCV'18 Unified Perceptual Parsing

a collection of visualization function

[CVPR2020] Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification

Official implementation of "Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform", ICCV 2021

[ECCV2020] a toolbox of light-reid learning for faster inference, speed both feature extraction and retrieval stages up to >30x

Multimodal Color-to-Thermal Image Translation

Use lmdb to speed up imagenet dataset