June 11, 2024, 4:50 a.m. | Changsong Liu, Wei Zhang, Yanyan Liu, Yuming Li, Wenlin Li, Yimeng Fan, Liang Zhang

cs.CV updates on arXiv.org arxiv.org

arXiv:2406.05779v1 Announce Type: new
Abstract: Edge detection is a fundamental task in computer vision and it has made great progress under the development of deep convolutional neural networks (DCNNs), some of them have achieved a beyond human-level performance. However, recent top-performing edge detection methods tend to generate thick and blurred edge lines. In this work, we propose an effective method to solve this problem. Our approach consists of a lightweight pre-trained backbone, multi-scale contextual enhancement module aggregating gradient information (MCGI), …

abstract arxiv beyond computer computer vision convolutional convolutional neural networks cs.cv detection detection methods development edge fundamental generate gradient however human information networks neural networks performance progress them type vision

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