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aadn

adversarial-attack-on-person-reid-with-deep-mis-ranking

This is a pytorch implementation of the CVPR2020 paper: Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking

advertorch

A Toolbox for Adversarial Robustness Research

cgat

[WWW 2023] Official repository for "CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval"

co-attack

official PyTorch implement of Towards Adversarial Attack on Vision-Language Pre-training Models

cvpr-2020-semi-low-light

diffjpeg

fsr

Feature Separation and Recalibration (CVPR 2023 Highlights)

imagebind

ImageBind One Embedding Space to Bind Them All

loss-function-summary

meta-attack-defense

mobilesam

This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

network-class

os

prompt-to-prompt

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

rcf-pytorch

Richer Convolutional Features for Edge Detection

rcf-pytorch-1

Richer Convolutional Features for Edge Detection model in pytorch CVPR2017

robust_rain_removal

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

self-universality

Enhancing the Self-Universality for Transferable Targeted Attacks [CVPR 2023 Paper]

transfer_attack_rap

uestc_internet_plus_course_project

本人在电子科大本科期间所有课程课设和作业的代码和部分报告，包括【计算机组成与结构】、【计算机网络与通信技术】、【软件基础综合课程设计】、【互联网软件开发综合课程设计】、【数据挖掘与大数据分析】、【时间序列分析】、【机器学习】、【数据结构与算法】、【并行程序设计导论】、【计算机操作系统】、【计算机视觉】

xai4sar-pgil

The physics guided and injected learning NN for SAR image patch-wise classification