EmbraceNet: A robust deep learning architecture for multimodal
classification

EmbraceNet: A robust deep learning architecture for multimodal classification

19 April 2019

Jun-Ho Choi

Papers citing "EmbraceNet: A robust deep learning architecture for multimodal classification"

7 / 7 papers shown

Title
Completed Feature Disentanglement Learning for Multimodal MRIs Analysis Tianling Liu Hongying Liu Fanhua Shang Lequan Yu Tong Han Liang Wan 32 1 0 06 Jul 2024
GLAMI-1M: A Multilingual Image-Text Fashion Dataset Vaclav Kosar A. Hoskovec Milan Šulc Radek Bartyzal VLM 24 3 0 17 Nov 2022
Real Estate Attribute Prediction from Multiple Visual Modalities with Missing Data Eric Stumpe Miroslav Despotovic Zedong Zhang Matthias Zeppelzauer 18 0 0 16 Nov 2022
Imbalanced Big Data Oversampling: Taxonomy, Algorithms, Software, Guidelines and Future Directions W. Sleeman R. Kapoor AI4TS 17 71 0 24 Jul 2021
A Hybrid Deep Learning Architecture for Leukemic B-lymphoblast Classification Sara Hosseinzadeh Kassani P. H. Kassani M. Wesolowski Kevin A. Schneider Ralph Deters 14 52 0 26 Sep 2019
Breast Cancer Diagnosis with Transfer Learning and Global Pooling Sara Hosseinzadeh Kassani P. H. Kassani M. Wesolowski Kevin A. Schneider Ralph Deters 10 77 0 26 Sep 2019
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding Akira Fukui Dong Huk Park Daylen Yang Anna Rohrbach Trevor Darrell Marcus Rohrbach 147 1,465 0 06 Jun 2016