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The latter combines an Otsu threshold and a Voronoi tessellation to perform instance segmentation, and more readily avoids fusing clumped cells than the former two, provided that the objects are ...

Numerous machine learning and deep learning algorithms have shown their effectiveness in the segmentation and diagnosis of BUS images. In this work, we propose a multi-task learning network with an ...

Abstract: Referring Video Object Segmentation (RVOS) aims at segmenting out the described object in a video clip according to given expression. The task requires methods to effectively fuse ...

4a). Objects such as bottles and cups were selected for testing, revealing that under natural lighting conditions, traditional cameras and the human eye struggled to discern fine details on resin ...

However, due to the inherent unique optical characteristics and high noise in underwater imagery, existing underwater instance segmentation models struggle to accurately capture the global and local ...

Abstract: Referring video object segmentation aims to segment objects within a video corresponding to a given text description. Existing transformer-based temporal modeling approaches face challenges ...

2025/03/10 Add a paper on PR 'S2DiNet: Towards lightweight and fast high-resolution dichotomous image segmentation'. 2025/02/20 Add a paper on ESWA 'An Edge-Guided SAM for effective complex object ...

Each tracker was configured using the default parameters from their official repositories. Multi-object tracking solutions today depend heavily on the computational capabilities of the underlying ...