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07/06/2023
Few-Shot Personalized Saliency Prediction Using Tensor Regression for Preserving Structural Global Information
This paper presents a few-shot personalized saliency prediction using te...
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03/08/2023
Interpretable Visual Question Answering Referring to Outside Knowledge
We present a novel multimodal interpretable VQA model that can answer th...
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12/19/2022
Boosting Automatic COVID-19 Detection Performance with Self-Supervised Learning and Batch Knowledge Ensembling
Background and objective: COVID-19 and its variants have caused signific...
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12/19/2022
COVID-19 Detection Based on Self-Supervised Transfer Learning Using Chest X-Ray Images
Purpose: Considering several patients screened due to COVID-19 pandemic,...
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12/06/2022
Union-set Multi-source Model Adaptation for Semantic Segmentation
This paper solves a generalized version of the problem of multi-source m...
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11/01/2022
RGMIM: Region-Guided Masked Image Modeling for COVID-19 Detection
Self-supervised learning has developed rapidly and also advances compute...
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09/29/2022
Dataset Complexity Assessment Based on Cumulative Maximum Scaled Area Under Laplacian Spectrum
Dataset complexity assessment aims to predict classification performance...
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09/29/2022
Compressed Gastric Image Generation Based on Soft-Label Dataset Distillation for Medical Data Sharing
Background and objective: Sharing of medical data is required to enable ...
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09/29/2022
Dataset Distillation using Parameter Pruning
The acquisition of advanced models relies on large datasets in many fiel...
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09/29/2022
Dataset Distillation for Medical Dataset Sharing
Sharing medical datasets between hospitals is challenging because of the...
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09/15/2022
Gromov-Wasserstein Autoencoders
Learning concise data representations without supervisory signals is a f...
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06/07/2022
TriBYOL: Triplet BYOL for Self-Supervised Representation Learning
This paper proposes a novel self-supervised learning method for learning...
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06/07/2022
Self-Knowledge Distillation based Self-Supervised Learning for Covid-19 Detection from Chest X-Ray Images
The global outbreak of the Coronavirus 2019 (COVID-19) has overloaded wo...
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04/07/2021
Self-Supervised Learning for Gastritis Detection with Gastric X-Ray Images
We propose a novel self-supervised learning method for medical image ana...
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04/07/2021
