https://github.com/tensorflow/mesh
공식 코드High Resolution Medical Image Analysis with Spatial Partitioning
Papers with Code 아카이브
Emotion Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 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/tensorflow/tensor2tensor
공식 코드https://github.com/tensorflow/tensorflow
공식 코드TF.Learn: TensorFlow's High-level Module for Distributed Machine Learning
https://github.com/tezignlab/subculture-colorization
공식 코드https://github.com/thaihungle/DMNC
공식 코드Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning
https://github.com/thanhluannguyen/mmtc-noma
공식 코드https://github.com/thecharlieblake/snowflake
공식 코드Snowflake: Scaling GNNs to High-Dimensional Continuous Control via Parameter Freezing
https://github.com/themaxiao/ditmos
공식 코드DiTMoS: Delving into Diverse Tiny-Model Selection on Microcontrollers
https://github.com/thennen/StochasticSynapses.jl
공식 코드A High Throughput Generative Vector Autoregression Model for Stochastic Synapses
https://github.com/theoad/pscgan
공식 코드High Perceptual Quality Image Denoising with a Posterior Sampling CGAN
https://github.com/thorbenortmann/emoji-hero-vr-database
공식 코드https://github.com/thuml/Latent-Spectral-Models
공식 코드https://github.com/thunlp/styleattack
공식 코드Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks
https://github.com/tianhongdai/wavelet-hdr
공식 코드https://github.com/tibor-krols/cogsci2-spotify
공식 코드Multi-Modality in Music: Predicting Emotion in Music from High-Level Audio Features and Lyrics
https://github.com/tingtingliao/car
공식 코드High-Fidelity Clothed Avatar Reconstruction from a Single Image
https://github.com/tjubiit/TJU-DHD
공식 코드TJU-DHD: A Diverse High-Resolution Dataset for Object Detection
https://github.com/tldr-group/microstructure-inpainter
공식 코드Two approaches to inpainting microstructure with deep convolutional generative adversarial networks
https://github.com/tmacmai/multimodal-information-bottleneck
공식 코드https://github.com/tmoer/mcts-t
공식 코드https://github.com/tnhaider/poetry-emotion
공식 코드https://github.com/tobefans/LSSED
공식 코드LSSED: a large-scale dataset and benchmark for speech emotion recognition
https://github.com/tolgabkm/hrplanes
공식 코드A benchmark dataset for deep learning-based airplane detection: HRPlanes
https://github.com/tomkingsforduoa/social-reward-function
공식 코드A General, Evolution-Inspired Reward Function for Social Robotics
https://github.com/tomoleary/hessianlearn
공식 코드Learning High-Dimensional Parametric Maps via Reduced Basis Adaptive Residual Networks
https://github.com/tsingqguo/efficientderain
공식 코드Uncertainty-Aware Cascaded Dilation Filtering for High-Efficiency Deraining
https://github.com/tsingqguo/misf
공식 코드MISF: Multi-level Interactive Siamese Filtering for High-Fidelity Image Inpainting
https://github.com/tslmy/ICWSM2019
공식 코드Studying Cultural Differences in Emoji Usage across the East and the West
https://github.com/tub-cv-group/conclugen
공식 코드Multi-Task Multi-Modal Self-Supervised Learning for Facial Expression Recognition
https://github.com/tuliochiodi/aircade
공식 코드AIRCADE: an Anechoic and IR Convolution-based Auralization Data-compilation Ensemble
https://github.com/tutudoki/pbje-ecpe
공식 코드https://github.com/twytock/Distinguishing_Cell_Types
공식 코드https://github.com/typilus/typilus
공식 코드https://github.com/tyshiwo/FHR_alignment
공식 코드Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos
https://github.com/tzofi/physically-disentangled-representations
공식 코드https://github.com/ubc-nlp/sparrow
공식 코드The Skipped Beat: A Study of Sociopragmatic Understanding in LLMs for 64 Languages
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.