https://github.com/AiTaif7/Color-Matters-AI-Driven-Exploration-of-Human-Feature-Coloration
공식 코드Colors Matter: AI-Driven Exploration of Human Feature Colors
Papers with Code 아카이브
Face Detection
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Face Detection is a computer vision task that involves automatically identifying and locating human faces within digital images or videos. It is a fundamental technology that underpins many applications such as face recognition, face tracking, and facial analysis.
<span style="color:grey; opacity: 0.6">( Image credit: insightface )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/EricGzq/AMTENnet
공식 코드Fake face detection via adaptive manipulation traces extraction network
https://github.com/JStehouwer/FFD_CVPR2020
공식 코드https://github.com/Jasonxu1225/Improved-Lightweight-YOLOv5-for-Face-Mask-Detection
공식 코드An Improved Lightweight YOLOv5 Model Based on Attention Mechanism for Face Mask Detection
https://github.com/JianghaiSCU/Diffusion-Low-Light
공식 코드Low-Light Image Enhancement with Wavelet-based Diffusion Models
https://github.com/KIT-MRT/latent_diffusion_face_anonymization
공식 코드LDFA: Latent Diffusion Face Anonymization for Self-driving Applications
https://github.com/Li-Chongyi/Lighting-the-Darkness-in-the-Deep-Learning-Era-Open
공식 코드Low-Light Image and Video Enhancement Using Deep Learning: A Survey
https://github.com/Li-Chongyi/Zero-DCE
공식 코드Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
https://github.com/MZMMSEC/SO-DFD
공식 코드Semantic Contextualization of Face Forgery: A New Definition, Dataset, and Detection Method
https://github.com/Media-Smart/vedadet/tree/main/configs/trainval/tinaface
공식 코드https://github.com/Microsoft/EdgeML
공식 코드RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference
https://github.com/OpenImagingLab/LenslessFace
공식 코드LenslessFace: An End-to-End Optimized Lensless System for Privacy-Preserving Face Verification
https://github.com/PaddlePaddle/models
공식 코드https://github.com/Peihao-Xiang/MTCAE-DFER
공식 코드MTCAE-DFER: Multi-Task Cascaded Autoencoder for Dynamic Facial Expression Recognition
https://github.com/RQuispeC/multi-stream-crowd-counting-extended
공식 코드Multi-Stream Networks and Ground-Truth Generation for Crowd Counting
https://github.com/Rock-100/FaceKit
공식 코드Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks
https://github.com/SheepBreedingLab-HZAU/LAD-RCNN
공식 코드LAD-RCNN:A Powerful Tool for Livestock Face Detection and Normalization
https://github.com/Star-Clouds/CenterFace
공식 코드CenterFace: Joint Face Detection and Alignment Using Face as Point
https://github.com/USTC-IMCL/Task-driven-Semantic-Coding-via-RL
공식 코드https://github.com/X-zhangyang/Real-World-Masked-Face-Dataset
공식 코드https://github.com/YonghaoHe/A-Light-and-Fast-Face-Detector-for-Edge-Devices
공식 코드https://github.com/abcdef2000/R2RNet
공식 코드R2RNet: Low-light Image Enhancement via Real-low to Real-normal Network
https://github.com/aditya-vora/FCHD-Fully-Convolutional-Head-Detector
공식 코드https://github.com/aminesi/robustness-on-device
공식 코드Robustness Analysis of Deep Learning Frameworks on Mobile Platforms
https://github.com/aosokin/cnn_head_detection
공식 코드https://github.com/autonomousvehiclelaboratory/anonymization
공식 코드https://github.com/bairdzhang/smallhardface
공식 코드Robust Face Detection via Learning Small Faces on Hard Images
https://github.com/barisbatuhan/dass_det_inference
공식 코드Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings
https://github.com/barisbatuhan/dass_detector
공식 코드Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings
https://github.com/brkljac/videoface2.0
공식 코드https://github.com/byangderek/CCF
공식 코드https://github.com/cabani/MaskedFace-Net
공식 코드MaskedFace-Net -- A Dataset of Correctly/Incorrectly Masked Face Images in the Context of COVID-19
https://github.com/cc13qq/sapd
공식 코드Detecting Adversarial Faces Using Only Real Face Self-Perturbations
https://github.com/clovaai/EXTD_Pytorch
공식 코드EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse
https://github.com/clovaai/eresfd
공식 코드EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection
https://github.com/crywang/RFM
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.