The recent performance leap of Large Language Models (LLMs) opens up new...
Multi-Sensor Fusion (MSF) based perception systems have been the foundat...
Large Language Models (LLMs) have been demonstrated effective for code
g...
The expenses involved in training state-of-the-art deep hashing retrieva...
Cyber-Physical Systems (CPS) have been widely deployed in safety-critica...
Machine Learning (ML) has been widely used in Natural Language Processin...
Recurrent Neural Networks (RNNs) have been widely used in Natural Langua...
Deep learning (DL) has become a driving force and has been widely adopte...
Recent years have witnessed an astonishing explosion in the evolution of...
Unsupervised domain adaptation (UDA) adapts a model trained on one domai...
Cyber-physical systems (CPS) have been broadly deployed in safety-critic...
This study is concerned with few-shot segmentation, i.e., segmenting the...
Semantic segmentation requires a lot of training data, which necessitate...
Pediatric asthma is the most prevalent chronic childhood illness, afflic...