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General Classification

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코드

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

https://github.com/jqueguiner/camembert-as-a-service

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

https://github.com/jqueguiner/image-segmentation

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

https://github.com/jramcast/music-genre-classification-audioset

Machine learning for music genre: multifaceted review and experimentation with audioset

https://github.com/jrzech/reproduce-chexnet

ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

https://github.com/jsalbert/prototypical-networks

Prototypical Networks for Few-shot Learning

https://github.com/jshermeyer/VDSR4Geo

Accurate Image Super-Resolution Using Very Deep Convolutional Networks

https://github.com/jshtok/RepMet

RepMet: Representative-based metric learning for classification and one-shot object detection

https://github.com/jssprz/video_captioning_datasets

On the effectiveness of task granularity for transfer learning

https://github.com/jsyzeng/rock_class_xgboost

Application of Machine Learning in Rock Facies Classification with Physics-Motivated Feature Augmentation

https://github.com/jtiger958/pytorch-computer-vision-basic

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/jtiger958/pytorch-computer-vision-tutorial

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/jubueche/Convolutional-LadderNet

Semi-Supervised Learning with Ladder Networks

https://github.com/julianroth/equivariant-transformers

Equivariant Transformer Networks

https://github.com/jun-cen/psl

Evidential Deep Learning to Quantify Classification Uncertainty

https://github.com/junkwhinger/adversarial_complementary_learning

Adversarial Complementary Learning for Weakly Supervised Object Localization

https://github.com/juntang-zhuang/explain_invertible

Invertible Network for Classification and Biomarker Selection for ASD

https://github.com/junwenkwan/human-robot-handover

Gesture Recognition for Initiating Human-to-Robot Handovers

https://github.com/junwenkwan/junwenkwan

Gesture Recognition for Initiating Human-to-Robot Handovers

https://github.com/jurgyy/CLRP

Understanding Individual Decisions of CNNs via Contrastive Backpropagation

https://github.com/juricaruntas/meta-ood

Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation

https://github.com/justinbellucci/cnn-visualizations-pytorch

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/justld/EspnetV2_paddle

ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network

https://github.com/jvanvugt/pytorch-domain-adaptation

Adversarial Discriminative Domain Adaptation

https://github.com/jwendyr/tcav

Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)

https://github.com/jwhabi/Vehicle-Color-Identification

Vehicle Color Recognition using Convolutional Neural Network

https://github.com/jwwoody/mlb-deeplearning

Fine-grained Activity Recognition in Baseball Videos

https://github.com/jwwoody/mlb-youtube

Fine-grained Activity Recognition in Baseball Videos

https://github.com/jwzhanggy/isocapsnet

IsoNN: Isomorphic Neural Network for Graph Representation Learning and Classification

https://github.com/jxl152/Point-Transformer

Point Transformer

https://github.com/jxz542189/dmn_plus

Ask Me Anything: Dynamic Memory Networks for Natural Language Processing

https://github.com/jyh2986/Active-Convolution

Active Convolution: Learning the Shape of Convolution for Image Classification

https://github.com/jyp1111/sentiment_analysis

How to Fine-Tune BERT for Text Classification?

https://github.com/jzyee/cms_image_classification

Application of a Convolutional Neural Network for image classification to the analysis of collisions in High Energy Physics

https://github.com/k-muhibul/Pattern_hand-gesture

Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks

https://github.com/k4my4r/ECG-Classification

How Powerful are Graph Neural Networks?

https://github.com/k5iogura/darknetAB

YOLO9000: Better, Faster, Stronger

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