research
∙
06/28/2023
A systematic study of the foreground-background imbalance problem in deep learning for object detection
The class imbalance problem in deep learning has been explored in severa...
share
research
∙
05/04/2023
Unsupervised anomaly localization in high-resolution breast scans using deep pluralistic image completion
Automated tumor detection in Digital Breast Tomosynthesis (DBT) is a dif...
research
∙
04/20/2023
Segment Anything Model for Medical Image Analysis: an Experimental Study
Training segmentation models for medical images continues to be challeng...
research
∙
08/17/2022
ASTRO: An AST-Assisted Approach for Generalizable Neural Clone Detection
Neural clone detection has attracted the attention of software engineeri...
research
∙
07/06/2022
The Intrinsic Manifolds of Radiological Images and their Role in Deep Learning
The manifold hypothesis is a core mechanism behind the success of deep l...
research
∙
05/25/2022
PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation
Logical table-to-text generation is a task that involves generating logi...
research
∙
11/22/2021
REPLICA: Enhanced Feature Pyramid Network by Local Image Translation and Conjunct Attention for High-Resolution Breast Tumor Detection
We introduce an improvement to the feature pyramid network of standard o...
research
∙
09/15/2021
FORTAP: Using Formulae for Numerical-Reasoning-Aware Table Pretraining
Tables store rich numerical data, but numerical reasoning over tables is...
research
∙
08/15/2021
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation
Tables are often created with hierarchies, but existing works on table r...
research
∙
06/25/2021
TableSense: Spreadsheet Table Detection with Convolutional Neural Networks
Spreadsheet table detection is the task of detecting all tables on a giv...
research
∙
11/19/2020
Using Text to Teach Image Retrieval
Image retrieval relies heavily on the quality of the data modeling and t...
research
∙
10/21/2020
Structure-aware Pre-training for Table Understanding with Tree-based Transformers
Tables are widely used with various structures to organize and present d...
research
∙
10/13/2019
