ESFORMER: A PILLAR-BASED OBJECT DETECTION METHOD BASED ON POINT CLOUD EXPANSION SAMPLING AND OPTIMISED SWIN TRANSFORMER

ESFormer: A Pillar-Based Object Detection Method Based on Point Cloud Expansion Sampling and Optimised Swin Transformer

In recent years, with the wide application of autonomous driving, surveillance, and robotics, the demand for accurate object detection in efficient object scenarios has surged.However, traditional object detection methods often face the challenge of difficulty in balancing detection accuracy and processing speed when dealing with the dynamic charac

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An efficient algorithm for overlapping bubbles segmentation

Image processing is an effective method for characterizing various two-phase gas/liquid flow systems.However, bubbly flows at a high void fraction impose significant challenges such as diverse bubble shapes Urinary Tract and sizes, large overlapping bubble clusters occurrence, as well as out-of-focus bubbles.This study describes an efficient multi-

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