CryoTEN: Efficiently Enhancing Cryo-EM Density Maps Using Transformers

Information Science, Computer Science, Artificial Intelligence, Life Sciences, Biochemistry, Bioengineering, Biophysics,
Cryo-EM   density map enhancement   Transformer   deep learning   protein structure   image processing   bioinformatics  

Academic Background Cryogenic Electron Microscopy (Cryo-EM) is a crucial experimental technique for determining the structures of macromolecules such as proteins. However, the effectiveness of Cryo-EM is often hindered by noise and missing density values caused by experimental conditions such as low contrast and conformational heterogeneity. Althou...

DRTN: Dual Relation Transformer Network with Feature Erasure and Contrastive Learning for Multi-Label Image Classification

Information Science, Computer Science, Artificial Intelligence,
Multi-label image classification   Transformer   Pseudo-region   Feature erasure   Contrastive learning  

New Breakthrough in Multi-Label Image Classification: Dual Relation Transformer Network Academic Background Multi-Label Image Classification (MLIC) is a fundamental yet highly challenging problem in the field of computer vision. Unlike single-label image classification, MLIC aims to assign multiple labels to objects within a single image. Due to th...

Learning with Enriched Inductive Biases for Vision-Language Models

Information Science, Computer Science, Artificial Intelligence,
Vision Language Models   Inductive Biases   Few-shot Adaptation   Transformer  

Learning with Enriched Inductive Biases for Vision-Language Models Research Background and Problem Statement In recent years, Vision-Language Models (VLMs) have made significant progress in the fields of computer vision and natural language processing. These models are pre-trained on large-scale image-text pairs to construct a unified multimodal re...

A Mutual Supervision Framework for Referring Expression Segmentation and Generation

A Mutual Supervision Framework for Referring Expression Segmentation and Generation

Information Science, Computer Science, Artificial Intelligence,
Referring Expression Segmentation   Referring Expression Generation   Mutual Supervision   Transformer   Computer Vision   Natural Language Processing   Image Segmentation  

A Mutual Supervision Framework for Referring Expression Segmentation and Generation Research Background and Problem Statement In recent years, vision-language interaction technology has made remarkable progress in the field of artificial intelligence. Among these advancements, referring expression segmentation (RES) and referring expression generat...

An End-to-End Visual Semantic Localization Network Using Multi-View Images

Engineering, Transportation Engineering, Information Science, Electronic Information, Computer Science, Artificial Intelligence,
visual localization   semantic map   bird-eye-view   Transformer   pose estimation  

A Study on End-to-End Visual Semantic Localization Using Multi-View Images Background and Research Significance With the rapid development of intelligent driving technology, precise localization of autonomous vehicles has become a hot topic in research and industry. Accurate vehicle localization is not only a core module of autonomous driving but a...

Transformer for Object Re-Identification: A Survey

Information Science, Electronic Information, Computer Science, Automation, Artificial Intelligence,
Object Re-Identification   Transformer   Deep Learning   Cross-Modal Recognition   Video Analysis  

Background and Significance Object re-identification (Re-ID) is an essential task in computer vision aimed at identifying specific objects across different times and scenes. Driven by deep learning, particularly convolutional neural networks (CNNs), this field has made significant strides. However, the emergence of vision transformers has opened ne...

A Transformer-Based Approach Combining Deep Learning Network and Spatial-Temporal Information for Raw EEG Classification

Information Science, Computer Science, Artificial Intelligence, Medicine, Neurology, Life Sciences, Bioengineering,
Transformer   EEG classification   Deep learning   Spatial-temporal information   Attention mechanism   Brain-Computer Interface  

Research Background and Objectives In recent years, Brain-Computer Interface (BCI) systems have been widely applied in the fields of neuroengineering and neuroscience. Electroencephalogram (EEG), as a data tool reflecting the activities of different neuronal groups in the central nervous system, has become a core research topic in these fields. How...