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/mk-minchul/adaface

공식 코드

AdaFace: Quality Adaptive Margin for Face Recognition

https://github.com/mk-minchul/caface

공식 코드

Cluster and Aggregate: Face Recognition with Large Probe Set

https://github.com/mk-minchul/dcface

공식 코드

DCFace: Synthetic Face Generation with Dual Condition Diffusion Model

https://github.com/mk-minchul/kprpe

공식 코드

KeyPoint Relative Position Encoding for Face Recognition

https://github.com/mkocaoglu/CausalGAN

공식 코드

CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training

https://github.com/mlech26l/neural_martingales

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Learning Provably Stabilizing Neural Controllers for Discrete-Time Stochastic Systems

https://github.com/mobiface/mobiface.github.io

공식 코드

MobiFace: A Novel Dataset for Mobile Face Tracking in the Wild

https://github.com/modar7/the_fairness_stitch

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The Fairness Stitch: Unveiling the Potential of Model Stitching in Neural Network De-Biasing

https://github.com/modelscope/facechain

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TopoFR: A Closer Look at Topology Alignment on Face Recognition

https://github.com/modestyachts/ARS

공식 코드

Simple random search provides a competitive approach to reinforcement learning

https://github.com/mohammadrezanaderi4/sfi-swin

공식 코드

SFI-Swin: Symmetric Face Inpainting with Swin Transformer by Distinctly Learning Face Components Distributions

https://github.com/monnalo/uav_navigation

공식 코드

UAV Obstacle Avoidance by Human-in-the-Loop Reinforcement in Arbitrary 3D Environment

https://github.com/montrealrobotics/iv_rl

공식 코드

Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation

https://github.com/monu-khicher-1/multi-stage-learning

공식 코드

Herd Mentality in Augmentation -- Not a Good Idea! A Robust Multi-stage Approach towards Deepfake Detection

https://github.com/mosamdabhi/3dlfm

공식 코드

3D-LFM: Lifting Foundation Model

https://github.com/mouse1998mouse/S-xception

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Improved Xception with Dual Attention Mechanism and Feature Fusion for Face Forgery Detection

https://github.com/mrkoujan/DeepFaceFlow

공식 코드

DeepFaceFlow: In-the-wild Dense 3D Facial Motion Estimation

https://github.com/mrkoujan/FER

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Real-time Facial Expression Recognition "In The Wild'' by Disentangling 3D Expression from Identity

https://github.com/msa-lmc/s2d

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From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos

https://github.com/msed-ebrahimi/aroface

공식 코드

ARoFace: Alignment Robustness to Improve Low-Quality Face Recognition

https://github.com/mshaikh2/HDL_Forensics

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Explanation based Handwriting Verification

https://github.com/msy1412/abaw4

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AU-Supervised Convolutional Vision Transformers for Synthetic Facial Expression Recognition

https://github.com/murinj/big-moe

공식 코드

BIG-MoE: Bypass Isolated Gating MoE for Generalized Multimodal Face Anti-Spoofing

https://github.com/murphytju/difffas

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DiffFAS: Face Anti-Spoofing via Generative Diffusion Models

https://github.com/muse1998/IAL-for-Facial-Expression-Recognition

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Intensity-Aware Loss for Dynamic Facial Expression Recognition in the Wild

https://github.com/muse1998/mmnet

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MMNet: Muscle motion-guided network for micro-expression recognition

https://github.com/muttimirco/mepol

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Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate

https://github.com/mvillarreal14/confoc

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ConFoc: Content-Focus Protection Against Trojan Attacks on Neural Networks

https://github.com/mysee1989/GraphJigsaw

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Graph Jigsaw Learning for Cartoon Face Recognition

https://github.com/mzhang367/opqn

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Orthonormal Product Quantization Network for Scalable Face Image Retrieval

https://github.com/naserdamer/mordiff

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MorDIFF: Recognition Vulnerability and Attack Detectability of Face Morphing Attacks Created by Diffusion Autoencoders

https://github.com/natanielruiz/deep-head-pose

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Fine-Grained Head Pose Estimation Without Keypoints

https://github.com/natanielruiz/dockerface

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Dockerface: an Easy to Install and Use Faster R-CNN Face Detector in a Docker Container

https://github.com/nathanlem1/igae-net

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Joint Person Identity, Gender and Age Estimation from Hand Images using Deep Multi-Task Representation Learning

https://github.com/nathanrahn/return-landscapes

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Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control

https://github.com/naumix/BiggerRegularizedOptimistic

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Bigger, Regularized, Optimistic: scaling for compute and sample-efficient continuous control

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