https://github.com/92coorob/facerec2
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Papers with Code 아카이브
General Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Algorithms trying to solve the general task of classification.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/A-PolarBear/GoogLeNet
https://github.com/A511-1103/Express_detection
Dense Label Encoding for Boundary Discontinuity Free Rotation Detection
https://github.com/ADharaUTEXAS123007/FaciesClassificationSEG
https://github.com/AGroupofProbiotocs/YOLO_V2_in_Tensorflow
https://github.com/AHoke/Multilevel_Wavelet_Decomposition_Network_Pytorch
Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis
https://github.com/AIOSYM/dl-model-gallery
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/AIPHES/acl19-generalization-capsule
Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications
https://github.com/AIRobotZhang/STCKA
Deep Short Text Classification with Knowledge Powered Attention
https://github.com/AKASH2907/Content-based-Video-Recommendation
https://github.com/AKASH2907/Content-based-Video-Relevance-Prediction
https://github.com/AKASH2907/bird_species_classification
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
https://github.com/ANONYMOUS-GURU/RareEventDetection
Dataset: Rare Event Classification in Multivariate Time Series
https://github.com/ATTPC/attpc-event-classification
Machine Learning Methods for Track Classification in the AT-TPC
https://github.com/Aadhvin02/https-github.com-meagmohit-EEG-Datasets
Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks
https://github.com/AaltoPML/Rethinking-pooling-in-GNNs
Hierarchical Graph Representation Learning with Differentiable Pooling
https://github.com/AaltoVision/relativeCameraPose
Relative Camera Pose Estimation Using Convolutional Neural Networks
https://github.com/AaronX121/Soft-Decision-Tree
https://github.com/Abdelhamid-bouzid/Deep-metric-learning
https://github.com/Abdulk084/Intent_classification
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction
https://github.com/Abdulrahman-Adel/Real-Life-Violence-Detection
https://github.com/Abdulrahman-Adel/Skin-Cancer-Detection
https://github.com/AbdurrahmanNadi/activity_recognition_web_service
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
https://github.com/Abercus/devianceminingoverview
https://github.com/AbhayKoushik/RealTimeSleepStaging
Real-Time Sleep Staging using Deep Learning on a Smartphone for a Wearable EEG
https://github.com/Abhimanyu08/Fixup_Initialization
Fixup Initialization: Residual Learning Without Normalization
https://github.com/AbhimanyuAryan/IMDB-NLP
Universal Language Model Fine-tuning for Text Classification
https://github.com/AbhinavS99/Ladder-Networks-for-Sign-Languages
Lateral Connections in Denoising Autoencoders Support Supervised Learning
https://github.com/Abhisek-/AlexNet
https://github.com/Abishalini/LipReadingGUI
https://github.com/Abysinikal/ML_FOR_RS
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
https://github.com/Abysinikal/S2_CLS
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
https://github.com/AceChuse/DCN
https://github.com/AdityaGolatkar/Classification-of-Breast-Cancer-Histology-using-Deep-Learning
Classification of Breast Cancer Histology using Deep Learning
https://github.com/Adityahulk/fashion_image_classifier
Neural Networks for Fashion Image Classification and Visual Search
https://github.com/Adlik/model_optimizer
Ensemble Knowledge Distillation for Learning Improved and Efficient Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.