仓库
layumi 的仓库
TIP2022 Adaptive Boosting (AdaBoost) for Domain Adaptation ? :woman_shrugging: Why not ! :ok_woman:
This is a library dedicated to adversarial machine learning. Its purpose is to allow rapid crafting and analysis of attacks and defense methods for machine learning models. The Adversarial Robustness Toolbox provides an implementation for many state-of-the-art methods for attacking and defending classifiers. https://developer.ibm.com/code/open/projects/adversarial-robustness-toolbox/
The classical papers and codes about generative adversarial nets
🏆 The 1st Place Submission to AICity Challenge 2021 Natural Language-Based Vehicle Retrieval Track (Alibaba-UTS submission)
:red_car: The 1st Place Submission to AICity Challenge 2020 re-id track (Baidu-UTS submission)
The 2nd place submission for AICity Challenge 2020 ReID track
Awesome Public Datasets Core
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search Benchmark
Autonomous Driving Car simulation using Pytorch
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
A list of awesome resources for adversarial attack and defense method in deep learning
Awesome Aerial Spatial Intelligence: A Curated Collection of Resources for Aerial Perception, Detection, and Navigation
A list of awesome AIGC works
List of recent advances for human avatars, including generation, reconstruction, and editing, etc.
📝Awesome and classical image retrieval papers
A curated list of awesome computer vision resources