ADD-GCN: Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition (ECCV 2020)

A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN

[ACLW'24] LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition

Transformer-based Dual Relation Graph for Multi-label Image Recognition. ICCV 2021

[ECCV 2022] Offical implementation of the paper "Acknowledging the Unknown for Multi-label Learning with Single Positive Labels".

Multi-Disease Detection in Retinal Imaging based on Ensembling Heterogeneous Deep Learning Models

M3TR: Multi-modal Multi-label Recognition with Transformer. ACM MM 2021

A multi-label-classification model for common thorax disease.

Multi-label-binary-classification model for multi-label-weather-prediction problem

A rule-based algorithm enabled the automatic extraction of disease labels from tens of thousands of radiology reports. These weak labels were used to create deep learning models to classify multiple diseases for three different organ systems in body CT.

PyTorch implementation of M-GCN: Brain-inspired Memory Graph Convolutional Network for Multi-Label Image Recognition (Neural Computing and Applications 2021.11)

Implementation of Semantic Contrastive Bootstrapping for Single-positive Multi-label Recognition, IJCV 2023

Multi-label image classification for movie posters by adopting deep neural network architecture.

Kaggle Human Protein Atlas Image Classification Challenge (top 7%)

A Tensorflow Implementation of Multi-Modal-Multi-Scale Image Annotation (Not Author Code)

CNN-RNN for Image Annotation with Label Correlations ( Course Project CS6101)

The project was part of our syllabus on the IPCVai EMJM programme, which is a collaboration between UAM , PPCU and UBx.

[BoostcampAI Tech 6기] 마스크 착용 여부, 성별, 연령을 판단하기 위한 image classification 대회

An easy-to-use multi-label image dataset generator.