Swin Transformer只针对单个Local Window计算Self-Attention,并且每个Localwindows的大小是固定的,因此它的计算复杂度与输入图片大小是线性关系; 不同层Layer之间类似于Pooling的Patch-Merging操作以及同层内的Local Window shift操作,使得Swin Transformer也具备类似于FPN的局部和全局的多尺度对象的建模能力。 Overall Architect...
然而直接使用通用的目标检测方法对织物进行检测却并不适用,这主要是通用的目标检测模型对于极小的目标无法识别,而很多织物上的疵点恰恰是极小的,比如污点、线头、破洞等,所以本发明提出了swin-transformer与nas-fpn来解决这个问题。 技术实现要素: 4.本发明的目的是提供一种基于swin-transformer与nas-fpn的织物疵点检测...
Swin Transformer神经架构搜索生成对抗网络中国是纺织品出口大国,织物疵点检测是纺织品质量管控中的重要环节,有效的自动织物疵点检测方法可以提高产品的质量,提升企业竞争力.基于目标检测的织物疵点方法是一个热门研究方向,然而由于织物纹理的复杂性和疵点的多样性,通用的目标检测算法在疵点检测上效果不佳,识别精度不高....
'../_base_/models/mask-rcnn_r50_fpn.py', '../_base_/datasets/coco_instance.py', '../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py' ] pretrained = 'https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_tiny_patch4_window7_224.pth' # noqa...
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Our method enhances the YOLOv8 object detection algorithm by leveraging the Swin Transformer and a lightweight residual feature pyramid network (RE-FPN) structure. Firstly, we introduce an optimized Swin Transformer module into the backbone network to preserve ample global contextual information during ...
Aiming at the problem of manual feature extraction and insufficient mining of feature information for partial discharge pattern recognition under different insulation faults in GIS, a deep learning model based on phase and timing features with Swin Transformer-AFPN-LSTM architecture is proposed. Firstly...