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Face Detection

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하위 태스크: 1
평가표: 13
보존된 평가 기록: 139

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/2023-MindSpore-1/ms-code-6/tree/main/centernet_resnet50_v1

RetinaFace: Single-stage Dense Face Localisation in the Wild

https://github.com/2023-MindSpore-4/Code10/tree/main/RetinaFace_ResNet50

RetinaFace: Single-stage Dense Face Localisation in the Wild

https://github.com/2023-MindSpore-4/Code6/tree/main/PyramidBox

PyramidBox++: High Performance Detector for Finding Tiny Face

https://github.com/2023-MindSpore-4/Code8/tree/main/centerface

CenterFace: Joint Face Detection and Alignment Using Face as Point

https://github.com/2023-MindSpore-4/Code8/tree/main/centernet_resnet50_v1

RetinaFace: Single-stage Dense Face Localisation in the Wild

https://github.com/2023-MindSpore-4/Code9/tree/main/RetinaFace_ResNet50

RetinaFace: Single-stage Dense Face Localisation in the Wild

https://github.com/2024-MindSpore-1/Code7/tree/main/centerface

CenterFace: Joint Face Detection and Alignment Using Face as Point

https://github.com/2275519762/RetinaFace_Pytorch

RetinaFace: Single-stage Dense Face Localisation in the Wild

https://github.com/AdivarekarBhumit/ID-Card-Segmentation

MIDV-500: A Dataset for Identity Documents Analysis and Recognition on Mobile Devices in Video Stream

https://github.com/AmrElsersy/Emotions-Recognition

Real-time Convolutional Neural Networks for Emotion and Gender Classification

https://github.com/Ander02/FaceRecognition

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

https://github.com/Anuranjan-Kumar/Face-Detection

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

https://github.com/Bkmz21/CompactCNNCascade

Compact Convolutional Neural Network Cascade for Face Detection

https://github.com/BonJunKu/ScooterHelmetDetector

Object Detection in 20 Years: A Survey

https://github.com/CaedenZ/distractionModel

Real-time Convolutional Neural Networks for Emotion and Gender Classification

https://github.com/ChiCheng123/SRN

Selective Refinement Network for High Performance Face Detection

https://github.com/CodeChefVIT/VOID

Real-time Convolutional Neural Networks for Emotion and Gender Classification

https://github.com/CycloneBoy/PPDetectionPytorch

BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs

https://github.com/DChaushev/Age-Gender-Recognition

Max-Margin Object Detection

https://github.com/DaneyAlex5/Live-Face-Verification-Using-Deep-Learning

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

https://github.com/DaneyAlex5/Webcam-based-Face-Recognition-using-Deep-Learning-

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

https://github.com/Danil328/RetinaFace

RetinaFace: Single-stage Dense Face Localisation in the Wild

https://github.com/Dou-Yu-xuan/vggface2-pytorch

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

https://github.com/Eltomad/Tiny_Faces

Can we still avoid automatic face detection?

https://github.com/EricZgw/PyramidBox

PyramidBox: A Context-assisted Single Shot Face Detector

https://github.com/FlameRB/Face-Detection-using-Deep-Learning

Multi-view Face Detection Using Deep Convolutional Neural Networks

https://github.com/GuoQuanhao/RetinaFace-Paddle

RetinaFace: Single-stage Dense Face Localisation in the Wild

https://github.com/GuoQuanhao/Tiny-Face-Paddle

Finding Tiny Faces

https://github.com/IQTLabs/Pytorch_Retinaface

RetinaFace: Single-stage Dense Face Localisation in the Wild

https://github.com/IssacCyj/Adversarial-Occlussion-aware-Face-Detection

Adversarial Occlusion-aware Face Detection

https://github.com/Jagannathrk2020/Face-detection-and-counting-

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

https://github.com/Johnny952/retinaface_mod

RetinaFace: Single-stage Dense Face Localisation in the Wild

https://github.com/Kareemcc/FaceMaskDetection

Masked Face Recognition Dataset and Application

https://github.com/KarthikBalakrishnan11/Face_Recognition_FaceNet

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

https://github.com/Krisztina-Sinkovics/IDcard-visibility-classifier

MIDV-500: A Dataset for Identity Documents Analysis and Recognition on Mobile Devices in Video Stream

https://github.com/LeeRel1991/SFD

S$^3$FD: Single Shot Scale-invariant Face Detector

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.