Feb. 28, 2024, 5:46 a.m. | Guodong Sun, Yuting Peng, Le Cheng, Mengya Xu, An Wang, Bo Wu, Hongliang Ren, Yang Zhang

cs.CV updates on arXiv.org arxiv.org

arXiv:2402.17370v1 Announce Type: new
Abstract: The precise segmentation of ore images is critical to the successful execution of the beneficiation process. Due to the homogeneous appearance of the ores, which leads to low contrast and unclear boundaries, accurate segmentation becomes challenging, and recognition becomes problematic. This paper proposes a lightweight framework based on Multi-Layer Perceptron (MLP), which focuses on solving the problem of edge burring. Specifically, we introduce a lightweight backbone better suited for efficiently extracting low-level features. Besides, we …

arxiv cs.cv images mlp network segmentation type

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