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Face Recognition

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하위 태스크: 6
평가표: 25
보존된 평가 기록: 88

Facial Recognition is the task of making a positive identification of a face in a photo or video image against a pre-existing database of faces. It begins with detection - distinguishing human faces from other objects in the image - and then works on identification of those detected faces.

The state of the art tables for this task are contained mainly in the consistent parts of the task : the face verification and face identification tasks.

<span style="color:grey; opacity: 0.6">( Image credit: Face Verification )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/ramihaf/mtf_data_set

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Multi-Task Faces (MTF) Data Set: A Legally and Ethically Compliant Collection of Face Images for Various Classification Tasks

https://github.com/realityengines/post_hoc_debiasing

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Intra-Processing Methods for Debiasing Neural Networks

https://github.com/renmin1991/perturbation-inactivate

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Perturbation Inactivation Based Adversarial Defense for Face Recognition

https://github.com/rizhaocai/metapattern_fas

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Learning Meta Pattern for Face Anti-Spoofing

https://github.com/rohdelab/drcdt_face

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Local Sliced-Wasserstein Feature Sets for Illumination-invariant Face Recognition

https://github.com/ronny3050/PrimateFaceRecognition

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Face Recognition: Primates in the Wild

https://github.com/rperi/trustworthy-asv-fairness

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To train or not to train adversarially: A study of bias mitigation strategies for speaker recognition

https://github.com/rshaojimmy/AAAI2020-RFMetaFAS

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Regularized Fine-grained Meta Face Anti-spoofing

https://github.com/ryansteed/ieat

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Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases

https://github.com/ryansteed/learning-appearance-bias

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A Set of Distinct Facial Traits Learned by Machines Is Not Predictive of Appearance Bias in the Wild

https://github.com/sachith500/ContrastiveFaceRepresentation

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Multi-Dataset Benchmarks for Masked Identification using Contrastive Representation Learning

https://github.com/searecluse/cvprw2024

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A visualization method for data domain changes in CNN networks and the optimization method for selecting thresholds in classification tasks

https://github.com/seasonSH/Probabilistic-Face-Embeddings

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Probabilistic Face Embeddings

https://github.com/securifai/masked_faces

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A realistic approach to generate masked faces applied on two novel masked face recognition data sets

https://github.com/seva100/stylegan-for-facerec

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How to Boost Face Recognition with StyleGAN?

https://github.com/seymayucer/facialphenotypes

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Measuring Hidden Bias within Face Recognition via Racial Phenotypes

https://github.com/shawnxyang/tip-im

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Towards Face Encryption by Generating Adversarial Identity Masks

https://github.com/shighghyujie/newpatch-rl

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Simultaneously Optimizing Perturbations and Positions for Black-box Adversarial Patch Attacks

https://github.com/shrezaei/Target-Agnostic-Attack

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A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning

https://github.com/skylar-sutherland/single-scan-3dmms

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Building 3D Morphable Models from a Single Scan

https://github.com/smile-ffg/he-man-concrete

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HE-MAN -- Homomorphically Encrypted MAchine learning with oNnx models

https://github.com/smuelpeng/sgps-noisefreedml

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Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair Selection

https://github.com/soheilb/multimodal_dictionary_learning

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Multimodal Task-Driven Dictionary Learning for Image Classification

https://github.com/stat-ml/face-evaluation

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ScaleFace: Uncertainty-aware Deep Metric Learning

https://github.com/stefhoer/PartialLFW

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Attention-based Partial Face Recognition

https://github.com/stevensmith2000/btnet

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Learning Unified Representations for Multi-Resolution Face Recognition

https://github.com/stevexwu/face_brightness

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Face Recognition Accuracy Across Demographics: Shining a Light Into the Problem

https://github.com/sudban3089/ID-Preserving-Facial-Aging

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Identity-Preserving Aging of Face Images via Latent Diffusion Models

https://github.com/sunwei925/dn-piqa

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Dual-Branch Network for Portrait Image Quality Assessment

https://github.com/sutd-visual-computing-group/Re-thinking_MI

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Re-thinking Model Inversion Attacks Against Deep Neural Networks

https://github.com/suzhigangssz/avih

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Hiding Visual Information via Obfuscating Adversarial Perturbations

https://github.com/swjtu-3dvision/boundaryface

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BoundaryFace: A mining framework with noise label self-correction for Face Recognition

https://github.com/szlbiubiubiu/CemiFace

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CemiFace: Center-based Semi-hard Synthetic Face Generation for Face Recognition

https://github.com/szlbiubiubiu/Part_fViT

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Part-based Face Recognition with Vision Transformers

https://github.com/szlbiubiubiu/lafs_cvpr2024

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LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition

https://github.com/tal-ai/RECLE

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Representation Learning from Limited Educational Data with Crowdsourced Labels

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