Sequence modeling is a crucial area across various domains, including Natural Language
Processing (NLP), speech recognition, time series forecasting, music generation, and …

Transformers have widely adopted attention networks for sequence mixing and MLPs for
channel mixing, playing a pivotal role in achieving breakthroughs across domains. However …

In pediatric cardiology, the accurate and immediate assessment of cardiac function through
echocardiography is crucial since it can determine whether urgent intervention is required in …

Vision transformers have gained significant attention and achieved state-of-the-art
performance in various computer vision tasks, including image classification, instance …

In recent years there has been significant progress in efficient and lightweight image super-
resolution due in part to the design of several powerful and lightweight attention …

Infrared small target detection (ISTD) is aimed at segmenting small targets from infrared
images and has wide applications in military areas. With the specially designed spatial …

Recently, CLIP has found practical utility in the domain of pixel-level zero-shot segmentation
tasks. The present landscape features two-stage methodologies beset by issues such as …

Ophthalmic diseases such as central serous chorioretinopathy (CSC) significantly impair the
vision of millions of people globally. Precise segmentation of choroid and macular edema is …

In the field of computer vision and image recognition, enabling the computer to discern
target features while filtering out irrelevant ones poses a challenge. Drawing insights from …

Few-shot open-set recognition, as a new paradigm, leveraging a limited amount of
supervised data to identify specific Remote Sensing (RS) scene categories and generalize …