https://github.com/2023-MindSpore-1/ms-code-6/tree/main/Pix2PixHD1
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
Papers with Code 아카이브
Speech Emotion Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 4
- 평가표
- 17
- 보존된 평가 기록
- 48
Speech Emotion Recognition is a task of speech processing and computational paralinguistics that aims to recognize and categorize the emotions expressed in spoken language. The goal is to determine the emotional state of a speaker, such as happiness, anger, sadness, or frustration, from their speech patterns, such as prosody, pitch, and rhythm.
For multimodal emotion recognition, please upload your result to Multimodal Emotion Recognition on IEMOCAP
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/2023-MindSpore-1/ms-code-6/tree/main/cct
CDPA: Common and Distinctive Pattern Analysis between High-dimensional Datasets
https://github.com/2023-MindSpore-4/Code-5/tree/main/HDR-Transformer
Ghost-free High Dynamic Range Imaging with Context-aware Transformer
https://github.com/2023-MindSpore-4/Code-5/tree/main/HRNetW48_cls
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/2023-MindSpore-4/Code-5/tree/main/ibnnet
Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net
https://github.com/2023-MindSpore-4/Code-5/tree/main/lite-hrnet
https://github.com/2023-MindSpore-4/Code12/tree/main/d2l/chapter_12_computational-performance
https://github.com/2023-MindSpore-4/Code6/tree/main/PyramidBox
PyramidBox++: High Performance Detector for Finding Tiny Face
https://github.com/2023-MindSpore-4/Code6/tree/main/RefineNet
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
https://github.com/2023-MindSpore-4/Code8/tree/main/ADNet
ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging
https://github.com/2023-MindSpore-4/Code8/tree/main/AttentionCluster
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/audio_spectrogram_transformer
https://github.com/2024-MindSpore-1/Code5/tree/main/ADNet
ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging
https://github.com/2miatran/Natural-Language-Processing
https://github.com/AIwithSwift/TFWorld2019-SwiftIn3Hours
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions
https://github.com/ANIME305/Anime-GAN
Large Scale GAN Training for High Fidelity Natural Image Synthesis
https://github.com/ANIME305/Anime-GAN-tensorflow
Large Scale GAN Training for High Fidelity Natural Image Synthesis
https://github.com/AbdalaDiasse/Video-classification-for-oil-quality-estimation
https://github.com/Abdoulaye-Koroko/natural-gradients
https://github.com/AgrawalAmey/safe-explorer
https://github.com/Akanni96/feng-hirst-rst-parser
Two-pass Discourse Segmentation with Pairing and Global Features
https://github.com/AlCorreia/FABIR
https://github.com/AlexVerine/PrecisionRecallGan
Large Scale GAN Training for High Fidelity Natural Image Synthesis
https://github.com/AlexandraFilimokhina/MountainCarConrinious_DDPG
https://github.com/AlexeiKaplenko/FaceShifter_mine
FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
https://github.com/AlexisAyme/estimateurs-robustes
Robust Estimators in High Dimensions without the Computational Intractability
https://github.com/AlextheEngineer/Ego2Hands
Ego2Hands: A Dataset for Egocentric Two-hand Segmentation and Detection
https://github.com/Alibaba-MIIL/TResNet
https://github.com/Alien9427/SAR_specific_models
Classification of Large-Scale High-Resolution SAR Images with Deep Transfer Learning
https://github.com/AmirsSaad/UWPhysDepth
High Quality Monocular Depth Estimation via Transfer Learning
https://github.com/Amy-1114/transformer
https://github.com/AndreaBorghesi/anomaly_detection_HPC
Anomaly Detection using Autoencoders in High Performance Computing Systems
https://github.com/AndreiMoraru123/Neural-Machine-Translation
https://github.com/Andrey885/Machine_translation_PyTorch
https://github.com/ArdalanM/nlp-benchmarks
https://github.com/Arthurizijar/Bert_Airport
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.