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/yytang2012/darknet

Focal Loss for Dense Object Detection

https://github.com/yzhou359/MakeItTalk

MakeItTalk: Speaker-Aware Talking-Head Animation

https://github.com/yzyouzhang/AIR-ASVspoof

UR Channel-Robust Synthetic Speech Detection System for ASVspoof 2021

https://github.com/zachzhu2016/Spectraface

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/zachzhu2016/thermal-face-recognition

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/zacwellmer/worldmodels

World Models

https://github.com/zafartakekh/finddrop

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/zahinsufiyan/flow-networks-fault-adaptation

CFlowNets: Continuous Control with Generative Flow Networks

https://github.com/zbzhu99/madiff

Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification

https://github.com/zengqunzhao/efficientface

https://github.com/zengqunzhao/ma-net

https://github.com/zenonLEE/MDFLD

Towards Multi-domain Face Landmark Detection with Synthetic Data from Diffusion model

https://github.com/zero-or-one/URP

Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks

https://github.com/zexUlt/facerec

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/zgx0534/pointnet_win

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

https://github.com/zhangbo2008/best_pytorch_transformer

A Structured Self-attentive Sentence Embedding

https://github.com/zhaoxin111/insightface

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

https://github.com/zhaoyi11/tcrl

Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning

https://github.com/zhen8838/Circle-Loss

Additive Margin Softmax for Face Verification

https://github.com/zheng-ningxin/Pruning-from-scratch

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/zheng1weiyu/Insightface_for_FaceRecog

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

https://github.com/zhixinshu/DeformingAutoencoders-pytorch

Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance

https://github.com/zhixuan-lin/dreamer-pytorch

Dream to Control: Learning Behaviors by Latent Imagination

https://github.com/zhongzisha/object_detection

Focal Loss for Dense Object Detection

https://github.com/zhou-henry/distributed-distributional-drq

Distributed Distributional Deterministic Policy Gradients

https://github.com/zhuccly/glomface-face-alignment

https://github.com/zhuccly/saat

https://github.com/zhusz/CVPR15-CFSS

https://github.com/zineos/blazeface

BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs

https://github.com/zisianw/FaceBoxes.PyTorch

FaceBoxes: A CPU Real-time Face Detector with High Accuracy

https://github.com/ziyizhang27/sdpo

REBEL: Reinforcement Learning via Regressing Relative Rewards

https://github.com/zj463261929/darknet_mAP

Focal Loss for Dense Object Detection

https://github.com/zjZSTU/ResNet

Deep Residual Learning for Image Recognition

https://github.com/zjjMaiMai/Deep-Alignment-Network-A-convolutional-neural-network-for-robust-face-alignment

Deep Alignment Network: A convolutional neural network for robust face alignment

https://github.com/zjlab-ammi/llm4rl

Proximal Policy Optimization Algorithms

https://github.com/zjsong/sspl

Very Deep Convolutional Networks for Large-Scale Image Recognition

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