Papers with Code 아카이브

Binary Classification

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

6

평가표

14

보존된 평가 기록

14

코드

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

https://github.com/yoctta/multiple-attention

공식 코드

Multi-attentional Deepfake Detection

https://github.com/younghanstark/rhapsody

공식 코드

Rhapsody: A Dataset for Highlight Detection in Podcasts

https://github.com/yue-zhongqi/gcm-cf

공식 코드

Counterfactual Zero-Shot and Open-Set Visual Recognition

https://github.com/yxiangxiong/disgan

공식 코드

Distance Guided Generative Adversarial Network for Explainable Binary Classifications

https://github.com/zainali93/UrduHMFND2024

공식 코드

Detection of Human and Machine-Authored Fake News in Urdu

https://github.com/zero-one-loss/01loss

공식 코드

Robust binary classification with the 01 loss

https://github.com/zero-one-loss/mlp01

공식 코드

Towards adversarial robustness with 01 loss neural networks

https://github.com/zhangda1018/dpd

공식 코드

Dynamic Proxy Domain Generalizes the Crowd Localization by Better Binary Segmentation

https://github.com/zhaoxuli123/specdetr

공식 코드

SpecDETR: A Transformer-based Hyperspectral Point Object Detection Network

https://github.com/zhen-cheng121/cpn_ova_unified

공식 코드

Unified Classification and Rejection: A One-versus-All Framework

https://github.com/zhongping-zhang/mgt_localization

공식 코드

Machine-Generated Text Localization

https://github.com/zhongtiand/eqnn

공식 코드

$\mathbb{Z}_2\times \mathbb{Z}_2$ Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks

https://github.com/zhoukanglei/twinmultipath

공식 코드

Solution Path Algorithm for Twin Multi-class Support Vector Machine

https://github.com/ziqiao-shang/aunce

공식 코드

Learning Contrastive Feature Representations for Facial Action Unit Detection

https://github.com/zm17943/SplitAVG

공식 코드

SplitAVG: A heterogeneity-aware federated deep learning method for medical imaging

https://github.com/zmhhmz/gpcis_cvpr2023

공식 코드

Interactive Segmentation as Gaussian Process Classification

https://github.com/zyouyang/ImpLipReg_CTR

공식 코드

Scaled Supervision is an Implicit Lipschitz Regularizer

https://github.com/zz-haooo/m3svm

공식 코드

Multi-class Support Vector Machine with Maximizing Minimum Margin

https://gitlab.cg.tuwien.ac.at/srasoulzadeh/strokes2surface.git

공식 코드

Strokes2Surface: Recovering Curve Networks From 4D Architectural Design Sketches

https://gitlab.com/lambda-hse/nfad

공식 코드

NFAD: Fixing anomaly detection using normalizing flows

https://gitlab.com/xiaohaima/lexical-dynamic-graph

공식 코드

Graph-based Clustering for Detecting Semantic Change Across Time and Languages

https://gitlab.tuebingen.mpg.de/shashank/imbalanced-binary-classification-experiments

공식 코드

Optimal Binary Classification Beyond Accuracy

https://worksheets.codalab.org/worksheets/0x900e7e41deaa4ec5b2fe41dc50594548

공식 코드

Training Classifiers with Natural Language Explanations

https://github.com/AFAgarap/cnn-svm

A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data

https://github.com/AFAgarap/malware-classification

A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data

https://github.com/AFAgarap/wisconsin-breast-cancer

A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data

https://github.com/AemikaChow/DATASOURCE

Image Aesthetic Assessment: An Experimental Survey

https://github.com/AnanyaKumar/verified_calibration

Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration

https://github.com/AntreasAntoniou/DAGAN

Sampling Generative Networks

https://github.com/BITCS-Information-Retrieval-2020/search-rattailcollagen1

Uniformizing Techniques to Process CT scans with 3D CNNs for Tuberculosis Prediction

https://github.com/BilcSergiu/DAGAN

Sampling Generative Networks

https://github.com/BraiNEdarwin/brains-py

Dopant Network Processing Units: Towards Efficient Neural-network Emulators with High-capacity Nanoelectronic Nodes

https://github.com/CAVED123/DeepPurpose

DeepDTA: Deep Drug-Target Binding Affinity Prediction

https://github.com/CVRL/RaspberryPiOpenSourceIris

Iris Presentation Attack Detection Based on Photometric Stereo Features

https://github.com/Cold-Winter/vqs

Revisiting Visual Question Answering Baselines

https://github.com/EIHW/Logit_Separation

Fast Single-Class Classification and the Principle of Logit Separation

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