research
∙
09/03/2023
A Visual Interpretation-Based Self-Improved Classification System Using Virtual Adversarial Training
The successful application of large pre-trained models such as BERT in n...
share
research
∙
06/23/2023
Mutually Guided Few-shot Learning for Relational Triple Extraction
Knowledge graphs (KGs), containing many entity-relation-entity triples, ...
research
∙
04/14/2023
Masked Pre-Training of Transformers for Histology Image Analysis
In digital pathology, whole slide images (WSIs) are widely used for appl...
research
∙
06/29/2022
Interactive Physically-Based Simulation of Roadheader Robot
Roadheader is an engineering robot widely used in underground engineerin...
research
∙
10/22/2021
MHAttnSurv: Multi-Head Attention for Survival Prediction Using Whole-Slide Pathology Images
In pathology, whole-slide images (WSI) based survival prediction has att...
research
∙
09/08/2021
Unsupervised clothing change adaptive person ReID
Clothing changes and lack of data labels are both crucial challenges in ...
research
∙
01/12/2021
Resolution-invariant Person ReID Based on Feature Transformation and Self-weighted Attention
Person Re-identification (ReID) is a critical computer vision task which...
research
∙
02/05/2020
Illumination adaptive person reid based on teacher-student model and adversarial training
Most existing works in Person Re-identification (ReID) focus on settings...
research
∙
07/15/2018
Magnitude Bounded Matrix Factorisation for Recommender Systems
Low rank matrix factorisation is often used in recommender systems as a ...
research
∙
03/05/2018