Papers with Code 아카이브

3D Face Modelling

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

2

평가표

2

보존된 평가 기록

3

코드

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

https://github.com/phiresky/pandoc-url2cite

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/phongdinhv/triplet-loss-keras-mnist

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/phuijse/MATIC

Network In Network

https://github.com/piaohe111/gittest

RetinaFace: Single-stage Dense Face Localisation in the Wild

https://github.com/pierluigiferrari/ssd_keras

Focal Loss for Dense Object Detection

https://github.com/pikabite/segmentations_tf2

Deep High-Resolution Representation Learning for Visual Recognition

https://github.com/pikkaay/efficientnet_gpu

Deep Residual Learning for Image Recognition

https://github.com/piotrkawa/audio-deepfake-source-tracing

Generalized Source Tracing: Detecting Novel Audio Deepfake Algorithm with Real Emphasis and Fake Dispersion Strategy

https://github.com/pipidog/CNLP

Network In Network

https://github.com/pkasala/ContinuesControl

Addressing Function Approximation Error in Actor-Critic Methods

https://github.com/plaffa/discrete-world-models

Deep Neuroevolution of Recurrent and Discrete World Models

https://github.com/playerkk/face-py-faster-rcnn

Face Detection with the Faster R-CNN

https://github.com/pocheck-v2/Pocheck-V2-Beta

Face Alignment Assisted by Head Pose Estimation

https://github.com/podgorskiy/StyleGan

Progressive Growing of GANs for Improved Quality, Stability, and Variation

https://github.com/pohlinwei/AComPianist

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/pohwa065/Deep-Learning-for-Super-Resolution-and-Image-Enhancement

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/pohwa065/SRGAN-for-Super-Resolution-and-Image-Enhancement

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/polarisZhao/PFLD-pytorch

PFLD: A Practical Facial Landmark Detector

https://github.com/polarisZhao/mtcnn-pytorch

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

https://github.com/polimi-ispl/icpr2020dfdc

FaceForensics++: Learning to Detect Manipulated Facial Images

https://github.com/politecat314/MEBeauty_CNN

https://github.com/polixir/NeoRL

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

https://github.com/polixir/OfflineRL

MOPO: Model-based Offline Policy Optimization

https://github.com/pothabattulasantosh/Detection-of-face-Manipulated-videos

FaceForensics++: Learning to Detect Manipulated Facial Images

https://github.com/pothabattulasantosh/Detection-of-facial-Manipulated-videos

FaceForensics++: Learning to Detect Manipulated Facial Images

https://github.com/pouya-parsa/progressive_gan

Progressive Growing of GANs for Improved Quality, Stability, and Variation

https://github.com/ppokhare/Handling-Imbalanced-Dataset-for-classification-task

Focal Loss for Dense Object Detection

https://github.com/ppriyank/Pytorch-Additive_Margin_Softmax_for_Face_Verification

Additive Margin Softmax for Face Verification

https://github.com/prajinkhadka/face_det_check

RetinaFace: Single-stage Dense Face Localisation in the Wild

https://github.com/prajwalgatti/DRL-Collaboration-and-Competition

Continuous control with deep reinforcement learning

https://github.com/prajwalgatti/DRL-Continuous-Control

Continuous control with deep reinforcement learning

https://github.com/prakashpandey9/Text-Classification-Pytorch

A Structured Self-attentive Sentence Embedding

https://github.com/prakharbhardwaj1/emotion-recognition

Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution

https://github.com/pranavbudhwant/ACVAEGAN

CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training

https://github.com/pranavjadhav001/arcface_inversion

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

https://github.com/pranz24/pytorch-soft-actor-critic

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

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