Papers with Code 아카이브

3D Face Modelling

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코드

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

https://github.com/xieyuankun/st-codecfake

공식 코드

Neural Codec Source Tracing: Toward Comprehensive Attribution in Open-Set Condition

https://github.com/xieyuankun/tdl-add

공식 코드

An Efficient Temporary Deepfake Location Approach Based Embeddings for Partially Spoofed Audio Detection

https://github.com/xilin1991/Large-scale-Multi-illumination-HR-Database

공식 코드

Image Enhancement for Remote Photoplethysmography in a Low-Light Environment

https://github.com/xingzhehe/AutoLink-Self-supervised-Learning-of-Human-Skeletons-and-Object-Outlines-by-Linking-Keypoints

공식 코드

AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints

https://github.com/xingzhehe/ganseg

공식 코드

GANSeg: Learning to Segment by Unsupervised Hierarchical Image Generation

https://github.com/xinntao/ESRGAN

공식 코드

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/xinqi-fan/ABAW2021

공식 코드

Spatial and Temporal Networks for Facial Expression Recognition in the Wild Videos

https://github.com/xix-ai/antispoofing

공식 코드

Generalizable Method for Face Anti-Spoofing with Semi-Supervised Learning

https://github.com/xiyinmsu/MultiTask-CNN

공식 코드

Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition

https://github.com/xjchengit/singgraph

공식 코드

Singing Voice Graph Modeling for SingFake Detection

https://github.com/xjtupanda/auw-gcn

공식 코드

AU-aware graph convolutional network for Macro- and Micro-expression spotting

https://github.com/xk-huang/OrdinalCLIP

공식 코드

OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression

https://github.com/xmba15/ai4eo_map_your_city

공식 코드

Building Age Estimation: A New Multi-Modal Benchmark Dataset and Community Challenge

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

공식 코드

Editable Neural Networks

https://github.com/xuanlinli17/iclr2021_rlreg

공식 코드

Regularization Matters in Policy Optimization

https://github.com/xuanlinli17/po-rl-regularization

공식 코드

Regularization Matters in Policy Optimization

https://github.com/xujinming01/td3aq

공식 코드

Mixed-Integer Optimal Control via Reinforcement Learning: A Case Study on Hybrid Electric Vehicle Energy Management

https://github.com/xupei0610/PFPN

공식 코드

PFPN: Continuous Control of Physically Simulated Characters using Particle Filtering Policy Network

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

공식 코드

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

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

공식 코드

EMO-LLaMA: Enhancing Facial Emotion Understanding with Instruction Tuning

https://github.com/ya332/robust_sleepnets

공식 코드

Robust SleepNets

https://github.com/yafuly/deepfaketextdetect

공식 코드

MAGE: Machine-generated Text Detection in the Wild

https://github.com/yafuly/mage

공식 코드

MAGE: Machine-generated Text Detection in the Wild

https://github.com/yannickycpan/reproducerl

공식 코드

Understanding and Mitigating the Limitations of Prioritized Experience Replay

https://github.com/yaoing/dan

공식 코드

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

공식 코드

Pairwise Similarity Learning is SimPLE

https://github.com/yelboudouri/EmoNeXt

공식 코드

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition

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