Abstract Generalized Referring Expression Segmentation (GRES) extends the scope of
classic RES to refer to multiple objects in one expression or identify the empty targets absent …

This paper identifies significant redundancy in the query-key interactions within self-attention
mechanisms of diffusion transformer models, particularly during the early stages of …

Oriented object detection, an emerging task in recent years, aims to identify and locate
objects across varied orientations. This requires the detector to accurately capture the …

Abstract Panoramic images, capturing a 360\(^\circ\) field of view (FoV), encompass
omnidirectional spatial information crucial for scene understanding. However, it is not only …

Vision transformers have significantly advanced the field of computer vision, offering robust
modeling capabilities and global receptive field. However, their high computational …

The increasing availability of multi-sensor data sparks wide interest in multimodal self-
supervised learning. However, most existing approaches learn only common …

Image semantic segmentation represents a significant area of research within the field of
computer vision. With the advent of deep learning, image semantic segmentation techniques …

The key to intelligent seed potato cutting technology lies in the accurate and rapid
identification of potato bud eyes. Existing detection algorithms suffer from low recognition …

Vision Transformer has achieved remarkable success in image recognition tasks owing to its
global modeling ability. However, the quadratic computational complexity becomes a …

Reducing damage and missed harvest rates is essential for improving efficiency in
unmanned cabbage harvesting. Accurate real-time segmentation of cabbage heads can …