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General Classification

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하위 태스크

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평가표

11

보존된 평가 기록

19

코드

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

https://github.com/cradleai/LKS-Dataset

공식 코드

SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification

https://github.com/cruvadom/Logit_Separation

공식 코드

Fast Single-Class Classification and the Principle of Logit Separation

https://github.com/cscvlab/InSphereNet

공식 코드

InSphereNet: a Concise Representation and Classification Method for 3D Object

https://github.com/csiro-robotics/deep-terrain-classification

공식 코드

Semi-supervised Gated Recurrent Neural Networks for Robotic Terrain Classification

https://github.com/csiro-robotics/deepseagrass

공식 코드

Multi-species Seagrass Detection and Classification from Underwater Images

https://github.com/csliuwei/MI_plot

공식 코드

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis

https://github.com/csong27/membership-inference

공식 코드

Membership Inference Attacks against Machine Learning Models

https://github.com/cswluo/SEF

공식 코드

Learning Semantically Enhanced Feature for Fine-Grained Image Classification

https://github.com/csyanbin/TPN-pytorch

공식 코드

Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning

https://github.com/cuihenggang/geeps

공식 코드

MLtuner: System Support for Automatic Machine Learning Tuning

https://github.com/curto2/mckernel

공식 코드

McKernel: A Library for Approximate Kernel Expansions in Log-linear Time

https://github.com/custom-computing-ic/CNN-Based-Hyperspectral-Image-Classification

공식 코드

Optimizing CNN-based Hyperspectral ImageClassification on FPGAs

https://github.com/custom-computing-ic/SpecPatConv3D-Network

공식 코드

Convolution Based Spectral Partitioning Architecture for Hyperspectral Image Classification

https://github.com/cvikasreddy/VisReg

공식 코드

Visualization Regularizers for Neural Network based Image Recognition

https://github.com/cvillacampa/GPInputNoise

공식 코드

Multi-class Gaussian Process Classification with Noisy Inputs

https://github.com/cvjena/PartDetectorDisovery

공식 코드

Part Detector Discovery in Deep Convolutional Neural Networks

https://github.com/cvjena/semantic-embeddings

공식 코드

Deep Learning on Small Datasets without Pre-Training using Cosine Loss

https://github.com/cvlab-stonybrook/fsl-rsvae

공식 코드

Generating Representative Samples for Few-Shot Classification

https://github.com/cvqluu/dropclass_speaker

공식 코드

DropClass and DropAdapt: Dropping classes for deep speaker representation learning

https://github.com/cwein3/all-layer-margin-opt

공식 코드

Improved Sample Complexities for Deep Networks and Robust Classification via an All-Layer Margin

https://github.com/cxsmarkchan/RaFM

공식 코드

RaFM: Rank-Aware Factorization Machines

https://github.com/cyberhunters/Malware-Detection-Using-Machine-Learning

공식 코드

Malware Classification using Deep Learning based Feature Extraction and Wrapper based Feature Selection Technique

https://github.com/cypriengille/semi-supervised-autoencoder

공식 코드

Semi-supervised classification using a supervised autoencoder for biomedical applications

https://github.com/cypw/CRU-Net

공식 코드

Sharing Residual Units Through Collective Tensor Factorization in Deep Neural Networks

https://github.com/cyvius96/few-shot-meta-baseline

공식 코드

Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning

https://github.com/d-li14/SAN

공식 코드

Learning to Learn Parameterized Classification Networks for Scalable Input Images

https://github.com/d3m-research-group/strongtree

공식 코드

Strong Optimal Classification Trees

https://github.com/dadangewp/SemEval2017-RumourEval

공식 코드

Stance Classification for Rumour Analysis in Twitter: Exploiting Affective Information and Conversation Structure

https://github.com/dagrawa2/gsnn_classification_code

공식 코드

A Classification of $G$-invariant Shallow Neural Networks

https://github.com/daijifeng001/TA-FCN

공식 코드

Fully Convolutional Instance-aware Semantic Segmentation

https://github.com/daiquanyu/AdaGCN

공식 코드

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution

https://github.com/daiquocnguyen/Caps2NE

공식 코드

A Capsule Network-based Model for Learning Node Embeddings

https://github.com/daiquocnguyen/Graph-Transformer

공식 코드

Universal Graph Transformer Self-Attention Networks

https://github.com/daiquocnguyen/QGNN

공식 코드

Quaternion Graph Neural Networks

https://github.com/daiquocnguyen/R-MeN

공식 코드

A Relational Memory-based Embedding Model for Triple Classification and Search Personalization

https://github.com/daiquocnguyen/Walk-Transformer

공식 코드

A Self-Attention Network based Node Embedding Model

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