Pinned Repositories
Adversarial-Patch-Attacks-TRAINING-YOLO-SSD-Pytorch
adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference
Bark-Voice-Cloning
🎙️ - Clone Voice 🎵 - TTS 🔮 - Voice Conversion,其中TTS参数可调
DFGC-2023-7st-place
This repo provides an solution for the DeepFake Game Competition on Visual Realism Assessment (DFGC-VRA) @ IJCB 2023. Our solution achieve the 7st in the final phase of the DFGC-VRA. The ranking can be seen here(https://codalab.lisn.upsaclay.fr/competitions/10754#results).
Hyperspectral-simulation
高光谱数据仿真UUV/ship hyperspectral image simulation. Simulation of airborne hyperspectral imaging equipment for target detection at different positions and altitudes on the sea surface or in shallow waters. The simulation is realized by receiving the target latitude and longitude height information and visualizing it in the effective field of view.
MarTech-Challenge
MarTech Challenge 点击反欺诈预测比赛思路及实现
RealBasicVSR
图片或视频超分,提升画质
TextualAdversarialAttack-Tianchi
天池竞赛安全AI挑战者计划第三期 - 文本分类对抗攻击 线上第12名&“最佳奇思妙想奖”
wav2lip_hq
语音驱动唇形高清版
YOLOv5_labelAuto
使用YOLOv5_6.0对coco数据集中任意指定的某一(多)类别自动标注。简易交互界面,选择待标注数据路径,生成的label文件(.xml)路径,需要标注的类别名(.txt),训练好的检测模型(.pt)等,实现自动标注。
popocheng's Repositories
popocheng/Bark-Voice-Cloning
🎙️ - Clone Voice 🎵 - TTS 🔮 - Voice Conversion,其中TTS参数可调
popocheng/RealBasicVSR
图片或视频超分,提升画质
popocheng/Hyperspectral-simulation
高光谱数据仿真UUV/ship hyperspectral image simulation. Simulation of airborne hyperspectral imaging equipment for target detection at different positions and altitudes on the sea surface or in shallow waters. The simulation is realized by receiving the target latitude and longitude height information and visualizing it in the effective field of view.
popocheng/wav2lip_hq
语音驱动唇形高清版
popocheng/DFGC-2023-7st-place
This repo provides an solution for the DeepFake Game Competition on Visual Realism Assessment (DFGC-VRA) @ IJCB 2023. Our solution achieve the 7st in the final phase of the DFGC-VRA. The ranking can be seen here(https://codalab.lisn.upsaclay.fr/competitions/10754#results).
popocheng/YOLOv5_labelAuto
使用YOLOv5_6.0对coco数据集中任意指定的某一(多)类别自动标注。简易交互界面,选择待标注数据路径,生成的label文件(.xml)路径,需要标注的类别名(.txt),训练好的检测模型(.pt)等,实现自动标注。
popocheng/adversarial_examples
对抗样本
popocheng/Adversarial_Texture
Adversarial Texture for Fooling Person Detectors in the Physical World
popocheng/camouflage
Generator of random camouflage
popocheng/CPIAD
CIKM2020 安全AI挑战者计划第四期:通用目标检测的对抗攻击——第二名方案
popocheng/d2l-zh
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被全球200所大学采用教学。
popocheng/daguan_competition_2021_codes
popocheng/CodeFormer
图片/视频高清修复
popocheng/daguancup_end2end
popocheng/darknet
Convolutional Neural Networks
popocheng/DeepFaceLive
Real-time face swap for PC streaming or video calls
popocheng/Dual-light-fusion
popocheng/faceswap
Deepfakes Software For All
popocheng/first-order-model
使用视频驱动图片使图片活化
popocheng/HOTCOLDBlock
Official Pytorch implementation for our AAAI 2023 paper HOTCOLD Block: Fooling Thermal Infrared Detectors with a Novel Wearable Design
popocheng/Infrared_Convergence_Attack
popocheng/infrared_patch_attack
Physically Adversarial Infrared Patches with Learnable Shapes and Locations
popocheng/MultiModal-DeepFake
[CVPR 2023] PyTorch code for DGM4: Detecting and Grounding Multi-Modal Media Manipulation
popocheng/Naturalistic-Adversarial-Patch
ICCV 2021
popocheng/NLP-Interview-Notes
本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料,该资料目前包含 自然语言处理各领域的 面试题积累。
popocheng/patch_Infrared
popocheng/patch_vis
dominant color constraints
popocheng/Real-Time-Voice-Cloning
实时语音克隆:输入目标人物语音片段与指定说话内容,输出目标人物讲话的语音
popocheng/wav2lip
语音驱动唇形
popocheng/winterwindwang.github.io
My Blog.