Papers with Code 아카이브

3D Face Modelling

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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보존된 평가 기록

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코드

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

https://github.com/baoshengyu/deep-high-resolution-net.pytorch

High-Resolution Representations for Labeling Pixels and Regions

https://github.com/barisbatuhan/FaceDetector

RetinaFace: Single-stage Dense Face Localisation in the Wild

https://github.com/barmayo/spatial_attention

Deep Residual Learning for Image Recognition

https://github.com/bartoszpanek1/Real-time-emotion-recognizer

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/bastienvanderplaetse/action-branching-dqn

Action Branching Architectures for Deep Reinforcement Learning

https://github.com/baturaysaglam/RIS-MISO-Deep-Reinforcement-Learning

Continuous control with deep reinforcement learning

https://github.com/baturaysaglam/TCD3

Estimation Error Correction in Deep Reinforcement Learning for Deterministic Actor-Critic Methods

https://github.com/baturaysaglam/ris-miso-pda-deep-reinforcement-learning

Deep Intrinsically Motivated Exploration in Continuous Control

https://github.com/bay3s/ppo-parallel

Proximal Policy Optimization Algorithms

https://github.com/bay3s/ppo-rl

Proximal Policy Optimization Algorithms

https://github.com/bazilas/matconvnet-deepReg

Robust Optimization for Deep Regression

https://github.com/bclwan/MRI_Brain_Segmentation

Deep Residual Learning for Image Recognition

https://github.com/becauseofAI/lffd-pytorch

LFFD: A Light and Fast Face Detector for Edge Devices

https://github.com/behavioralcomputing/behaviorstructure

A Large-Scale Rich Context Query and Recommendation Dataset in Online Knowledge-Sharing

https://github.com/behzadhsni/BReG-NeXt

BReG-NeXt: Facial Affect Computing Using Adaptive Residual Networks With Bounded Gradient

https://github.com/beibuwandeluori/DFGC_Detection

Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics

https://github.com/bellsrik86/DeepFaceLab

DeepFaceLab: Integrated, flexible and extensible face-swapping framework

https://github.com/ben-davidson-6/fixup

Deep Residual Learning for Image Recognition

https://github.com/benevolentAI/guacamol_baselines

Proximal Policy Optimization Algorithms

https://github.com/benihime91/pytorch_retinanet

Focal Loss for Dense Object Detection

https://github.com/bennyqp/artificial-inspiration

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

https://github.com/benpetit/cs379c

Proximal Policy Optimization Algorithms

https://github.com/bentrevett/pytorch-image-classification

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/bentrevett/pytorch-rl

High-Dimensional Continuous Control Using Generalized Advantage Estimation

https://github.com/bepierre/SpeechVGG

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/bergerda1/PiFaceRecognition

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/bertrandlalo/deep_dog_breeds

Deep Residual Learning for Image Recognition

https://github.com/beskal80/KHAIREPO

DeepFaceLab: Integrated, flexible and extensible face-swapping framework

https://github.com/bethelhall/smart-attendance-system

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/bethgelab/InDomainGeneralizationBenchmark

Deep Residual Learning for Image Recognition

https://github.com/bharatsush/object_detection

Focal Loss for Dense Object Detection

https://github.com/bhavinjawade/ProxyFusion-NeurIPS

https://github.com/bhavinjawade/proxyfusion

https://github.com/bidimensional/Tennis

Continuous control with deep reinforcement learning

https://github.com/bielcarvalho/RPII-EP

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/biemann/Continuous-Control

Continuous control with deep reinforcement learning

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