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Facial Recognition and Modelling

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하위 태스크: 26
평가표: 0
보존된 평가 기록: 0

Facial tasks in machine learning operate based on images or video frames (or other datasets) focussed on human faces.

코드

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

https://github.com/xmed-lab/ucvme

공식 코드

Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks

https://github.com/xtinkt/editable

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Editable Neural Networks

https://github.com/xuyingzhongguo/deepfakeannotations

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Analyzing Fairness in Deepfake Detection With Massively Annotated Databases

https://github.com/xuyingzhongguo/mcx-api

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Learning Pairwise Interaction for Generalizable DeepFake Detection

https://github.com/xuyingzhongguo/vod

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VoD: Learning Volume of Differences for Video-Based Deepfake Detection

https://github.com/xxtars/emo-llama

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EMO-LLaMA: Enhancing Facial Emotion Understanding with Instruction Tuning

https://github.com/ya332/robust_sleepnets

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Robust SleepNets

https://github.com/yafuly/deepfaketextdetect

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MAGE: Machine-generated Text Detection in the Wild

https://github.com/yafuly/mage

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MAGE: Machine-generated Text Detection in the Wild

https://github.com/yaoing/dan

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Distract Your Attention: Multi-head Cross Attention Network for Facial Expression Recognition

https://github.com/yaojieliu/CVPR2019-DeepTreeLearningForZeroShotFaceAntispoofing

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Deep Tree Learning for Zero-shot Face Anti-Spoofing

https://github.com/yaojieliu/ECCV20-STDN

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On Disentangling Spoof Trace for Generic Face Anti-Spoofing

https://github.com/yaojieliu/ECCV2018-FaceDeSpoofing

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Face De-Spoofing: Anti-Spoofing via Noise Modeling

https://github.com/yaojieliu/ICCVW2017-DenseFaceAlignment

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Dense Face Alignment

https://github.com/yaselley/ssl_layerwise_deepfake

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Comprehensive Layer-wise Analysis of SSL Models for Audio Deepfake Detection

https://github.com/ydc123/Dark_Surrogate_Model

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Boosting the Adversarial Transferability of Surrogate Models with Dark Knowledge

https://github.com/ydwen/opensphere/blob/main/opensphere/module/head/simple.py

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Pairwise Similarity Learning is SimPLE

https://github.com/yelboudouri/EmoNeXt

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EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition

https://github.com/yerfor/Real3DPortrait

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Real3D-Portrait: One-shot Realistic 3D Talking Portrait Synthesis

https://github.com/yermandy/deepfake-detection

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Unlocking the Hidden Potential of CLIP in Generalizable Deepfake Detection

https://github.com/ygtxr1997/reliableswap

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ReliableSwap: Boosting General Face Swapping Via Reliable Supervision

https://github.com/yingjiacheng/restorerid

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RestorerID: Towards Tuning-Free Face Restoration with ID Preservation

https://github.com/yinhefeng/LCLRRDL

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Face Recognition via Locality Constrained Low Rank Representation and Dictionary Learning

https://github.com/yinhefeng/soigo

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Face recognition via compact second order image gradient orientations

https://github.com/yipersevere/age-estimation

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using multiple losses for accurate facial age estimation

https://github.com/yjyddq/DLIF

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Generalized Face Anti-spoofing via Finer Domain Partition and Disentangling Liveness-irrelevant Factors

https://github.com/ykykyk112/STIG

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Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile

https://github.com/yl-1993/learn-to-cluster

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Learning to Cluster Faces on an Affinity Graph

https://github.com/yliuaa/bnmr-faircompface

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Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning

https://github.com/yoctta/multiple-attention

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Multi-attentional Deepfake Detection

https://github.com/yongyizang/SingFake

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SingFake: Singing Voice Deepfake Detection

https://github.com/youngLBW/HRN

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A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction from In-The-Wild Images

https://github.com/youqingxiaozhua/apvit

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Vision Transformer with Attentive Pooling for Robust Facial Expression Recognition

https://github.com/yuangan/VidFace

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VidFace: A Full-Transformer Solver for Video FaceHallucination with Unaligned Tiny Snapshots

https://github.com/yuangan/eat_code

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Efficient Emotional Adaptation for Audio-Driven Talking-Head Generation

https://github.com/yuangan/silencer

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Silence is Golden: Leveraging Adversarial Examples to Nullify Audio Control in LDM-based Talking-Head Generation

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