Papers with Code 아카이브

Emotion Recognition

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 12
평가표: 10
보존된 평가 기록: 18

Emotion Recognition is an important area of research to enable effective human-computer interaction. Human emotions can be detected using speech signal, facial expressions, body language, and electroencephalography (EEG). Source: Using Deep Autoencoders for Facial Expression Recognition

코드

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

https://github.com/agentdr1/la_mil

Attention Is All You Need

https://github.com/agermanidis/pix2pixHD-runway

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

https://github.com/agupta231/CARROL

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

https://github.com/ahmedbahaaeldin/Papers-from-Scratch

Convolutional Neural Networks for Sentence Classification

https://github.com/ahmedssabir/textual-visual-semantic-dataset

Convolutional Neural Networks for Sentence Classification

https://github.com/ahmetumutdurmus/awd-lstm

Attention Is All You Need

https://github.com/ahsanabbas123/Transformer

Attention Is All You Need

https://github.com/ahsanmemon/NFNets-Tensorflow

High-Performance Large-Scale Image Recognition Without Normalization

https://github.com/ai-forever/Kandinsky-2

MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation

https://github.com/ai-forever/kandinskyvideo

Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models

https://github.com/ai-forever/movqgan

MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation

https://github.com/ai-winter/python_motion_planning

Continuous control with deep reinforcement learning

https://github.com/ai4finance-foundation/finrl-meta

Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning

https://github.com/ailab-pku/rl-framework

Continuous control with deep reinforcement learning

https://github.com/aim-uofa/AdelaiDet

BoxInst: High-Performance Instance Segmentation with Box Annotations

https://github.com/aim-uofa/DiverGen

Probabilistic two-stage detection

https://github.com/aim-uofa/adet

BoxInst: High-Performance Instance Segmentation with Box Annotations

https://github.com/aimbsg/EVA4_S15

High Quality Monocular Depth Estimation via Transfer Learning

https://github.com/airsplay/vimpac

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/ajbrock/BigGAN-PyTorch

Large Scale GAN Training for High Fidelity Natural Image Synthesis

https://github.com/akanyaani/minGPTF

Attention Is All You Need

https://github.com/akashe/Python-Code-Generation

Attention Is All You Need

https://github.com/akoepke/audio-retrieval-benchmark

QuerYD: A video dataset with high-quality text and audio narrations

https://github.com/akreiss/HighDimRD

Inference in Regression Discontinuity Designs with High-Dimensional Covariates

https://github.com/alathiya/RL-Quadcoptor-Flying

Continuous control with deep reinforcement learning

https://github.com/albertopolito/CarSNN

Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks

https://github.com/alecfilios/Training-Intelligent-game-Agents-through-Competitive-Reinforcement-Learning

High-Dimensional Continuous Control Using Generalized Advantage Estimation

https://github.com/aleksac99/SQuAD-SR

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/alex-xun-xu/LearnSubspaceMoSeg

Learning for Multi-Type Subspace Clustering

https://github.com/alex98chen/testGAN

PacGAN: The power of two samples in generative adversarial networks

https://github.com/alexander-rakhlin/CNN-for-Sentence-Classification-in-Keras

Convolutional Neural Networks for Sentence Classification

https://github.com/alexverine/precisionrecallbiggan

Large Scale GAN Training for High Fidelity Natural Image Synthesis

https://github.com/alfagao/DeOldify

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

https://github.com/algharak/BERTenhance

Attention Is All You Need

https://github.com/alhabk/SGEE--pytorch

Continuous control with deep reinforcement learning

https://github.com/alialaradi/DeepGalerkinMethod

Solving Nonlinear and High-Dimensional Partial Differential Equations via Deep Learning

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