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/andrejorsula/drl_grasping

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

https://github.com/andrijdavid/clinical-brain-interface-2020

Deep Residual Learning for Image Recognition

https://github.com/andrire/RNNASIP-pulpissimo

An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics

https://github.com/andyljones/zonotable

Proximal Policy Optimization Algorithms

https://github.com/angelolovatto/raylab

Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation

https://github.com/angelvillar96/FaceEmoji

Deep Residual Learning for Image Recognition

https://github.com/anguyen8/sam

Deep Residual Learning for Image Recognition

https://github.com/anhttran/3dmm_basic

Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network

https://github.com/anhttran/3dmm_cnn

Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network

https://github.com/anhtu293/Vietnamese-Celebrity-Face-Recognition

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

https://github.com/anibali/dsnt-pose2d

Deep Residual Learning for Image Recognition

https://github.com/aniket-patra-1998/FLOWER_RECOGNITION

Deep Residual Learning for Image Recognition

https://github.com/aniket03/keras_compact_bilnear_CNN

Compact Bilinear Pooling

https://github.com/anirudharc/transformer

A Structured Self-attentive Sentence Embedding

https://github.com/anita-hu/TF2-RL

Continuous control with deep reinforcement learning

https://github.com/anitagold/30-days-of-Udacity

Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet

https://github.com/anjandeepsahni/face_classification

Deep Residual Learning for Image Recognition

https://github.com/anjandeepsahni/face_recognition

Deep Residual Learning for Image Recognition

https://github.com/anjith2006/bob.paper.mcae.icb2019

Domain Adaptation in Multi-Channel Autoencoder based Features for Robust Face Anti-Spoofing

https://github.com/anjith2006/bob.paper.mccnn.tifs2018

Biometric Face Presentation Attack Detection with Multi-Channel Convolutional Neural Network

https://github.com/anjith2006/bob.paper.oneclass_mccnn_2019

Learning One Class Representations for Face Presentation Attack Detection using Multi-channel Convolutional Neural Networks

https://github.com/anjith2006/bob.paper.tbiom2023_edgeface

EdgeFace: Efficient Face Recognition Model for Edge Devices

https://github.com/anjith2006/bob.paper.tifs2022_hfr_prepended_domain_transformer

Prepended Domain Transformer: Heterogeneous Face Recognition without Bells and Whistles

https://github.com/ankit-vaghela30/Google-landmark-prediction

Deep Residual Learning for Image Recognition

https://github.com/annabellachen/newDarknet

Focal Loss for Dense Object Detection

https://github.com/anookeen/yolo

Focal Loss for Dense Object Detection

https://github.com/anoushkrit/Knowledge

Deep Residual Learning for Image Recognition

https://github.com/anshky/HR-NET

High-Resolution Representations for Labeling Pixels and Regions

https://github.com/anshu123priya/Real-v-s-Fake-Emotion-Challenge

Real-time Convolutional Neural Networks for Emotion and Gender Classification

https://github.com/anshu123priya/Real-vs-Fake-Emotion-Challenge

Real-time Convolutional Neural Networks for Emotion and Gender Classification

https://github.com/anthonysong98/super-mario-bros-ppo

Proximal Policy Optimization Algorithms

https://github.com/anuj-anuj/face-similarity

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/anujdutt9/Artistic-Style-Transfer-using-Keras-Tensorflow

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/anyboby/mujoco_safety_gym

Safe Continuous Control with Constrained Model-Based Policy Optimization

https://github.com/aobaruwa/TensorFlow-Projects

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/aoru45/BasketNet

LFFD: A Light and Fast Face Detector for Edge Devices

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