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/alrojo/lasagne_residual_network

Deep Residual Learning for Image Recognition

https://github.com/alsgkals2/CoReD_Released

CoReD: Generalizing Fake Media Detection with Continual Representation using Distillation

https://github.com/alsgkals2/cored

CoReD: Generalizing Fake Media Detection with Continual Representation using Distillation

https://github.com/altndrr/persona

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/altomator/Introduction_to_Deep_Learning-2-Face_Detection

Deep Face Recognition: A Survey

https://github.com/alvarobartt/serving-pytorch-models

Deep Residual Learning for Image Recognition

https://github.com/alvinwan/shiftresnet-cifar

Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions

https://github.com/am-sirdaniel/Facial_Keypoint_Detection

Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet

https://github.com/amamov/vgg16-vs-resnet

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/aman-arya/Any-Body-Can-Dance

Everybody Dance Now

https://github.com/aman-garg0001/fruit-classifier

Deep Residual Learning for Image Recognition

https://github.com/amanda-lambda/drl-experiments

Proximal Policy Optimization Algorithms

https://github.com/amanda-lambda/hack-flappy-bird-drl

Proximal Policy Optimization Algorithms

https://github.com/amanshenoy/pose-invariant-face-recognition

A Comprehensive Survey on Pose-Invariant Face Recognition

https://github.com/amartyamukherjee/ppo-packcooling

Proximal Policy Optimization Algorithms

https://github.com/amaudruz/RL_openaigym

Proximal Policy Optimization Algorithms

https://github.com/amazon-research/long-short-term-transformer

Deep Residual Learning for Image Recognition

https://github.com/amazon-science/long-short-term-transformer

Deep Residual Learning for Image Recognition

https://github.com/amazon-science/meta-q-learning

Meta-Q-Learning

https://github.com/ambityga/memsem

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/amdegroot/ssd.pytorch

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/aminekha/AI-For-2022

Focal Loss for Dense Object Detection

https://github.com/amirhfarzaneh/dacl

https://github.com/amittiwary42/target-detection-eeg-signals

Focal Loss for Dense Object Detection

https://github.com/amogh7joshi/engagement-detection

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/amogh7joshi/fer

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/amogh7joshi/media-vision

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/amogh7joshi/plant-health-detection

Deep Residual Learning for Image Recognition

https://github.com/amyllykoski/CycleGAN

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

https://github.com/amzoyang/CS-221-Final-Project

Proximal Policy Optimization Algorithms

https://github.com/anasbadawy/Facial-Keypoint-Detection

Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet

https://github.com/anax32/dimensionality-reduction

NormFace: L2 Hypersphere Embedding for Face Verification

https://github.com/andersoncarlosfs/image_classification

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/andreas128/NTIRE21_Learning_SR_Space

DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution

https://github.com/andreasveit/densenet-pytorch

Deep Residual Learning for Image Recognition

https://github.com/andreidi/AC_DDPG_walker

Continuous control with deep reinforcement learning

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