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03/01/2023
The Inversive Relationship Between Bugs and Patches: An Empirical Study
Software bugs pose an ever-present concern for developers, and patching ...
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04/04/2022
Unsupervised Change Detection Based on Image Reconstruction Loss
To train the change detector, bi-temporal images taken at different time...
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01/19/2022
Using Self-Supervised Pretext Tasks for Active Learning
Labeling a large set of data is expensive. Active learning aims to tackl...
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09/02/2021
Studying the Effects of Self-Attention for Medical Image Analysis
When the trained physician interprets medical images, they understand th...
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08/10/2021
Exploiting Features with Split-and-Share Module
Deep convolutional neural networks (CNNs) have shown state-of-the-art pe...
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07/15/2020
Learning Visual Context by Comparison
Finding diseases from an X-ray image is an important yet highly challeng...
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06/21/2020
Sequential Feature Filtering Classifier
We propose Sequential Feature Filtering Classifier (FFC), a simple but e...
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10/25/2019
Reducing Domain Gap via Style-Agnostic Networks
Deep learning models often fail to maintain their performance on new tes...
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07/17/2018
CBAM: Convolutional Block Attention Module
We propose Convolutional Block Attention Module (CBAM), a simple yet eff...
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07/17/2018
BAM: Bottleneck Attention Module
Recent advances in deep neural networks have been developed via architec...
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04/12/2018
