Zobrazeno 1 - 10
of 36 953
pro vyhledávání: '"channel attention"'
Autor:
Wu, Jie1 (AUTHOR) 15754314374@163.com, Yang, Shuai1 (AUTHOR) 13604311978@163.com, Wang, Xiaoming1 (AUTHOR) peiyu@ciomp.ac.cn, Pei, Yu1 (AUTHOR) 18704456420@163.com, Wang, Shuai2 (AUTHOR) wangshuai@sibet.ac.cn, Song, Congcong1 (AUTHOR)
Publikováno v:
Sensors (14248220). Nov2024, Vol. 24 Issue 21, p6916. 18p.
Autor:
Liu, Lianjun
Underwater instance segmentation is a fundamental and critical step in various underwater vision tasks. However, the decline in image quality caused by complex underwater environments presents significant challenges to existing segmentation models. W
Externí odkaz:
http://arxiv.org/abs/2411.00472
In public safety and social life, the task of Clothes-Changing Person Re-Identification (CC-ReID) has become increasingly significant. However, this task faces considerable challenges due to appearance changes caused by clothing alterations. Addressi
Externí odkaz:
http://arxiv.org/abs/2410.21663
Autor:
Liu, Chongxiao
Single Image Super-Resolution (SISR) is a vital technique for improving the visual quality of low-resolution images. While recent deep learning models have made significant advancements in SISR, they often encounter computational challenges that hind
Externí odkaz:
http://arxiv.org/abs/2410.20546
Autor:
Neha, Fnu, Bansal, Arvind K.
Publikováno v:
Proceedings of the 10th World Congress on Electrical Engineering and Computer Systems and Science, Avestia Publishing, ISSN = 2369-811X, 2024
Renal tumors, especially renal cell carcinoma (RCC), show significant heterogeneity, posing challenges for diagnosis using radiology images such as MRI, echocardiograms, and CT scans. U-Net based deep learning techniques are emerging as a promising a
Externí odkaz:
http://arxiv.org/abs/2410.15472
Learned Image Compression (LIC) models have achieved superior rate-distortion performance than traditional codecs. Existing LIC models use CNN, Transformer, or Mixed CNN-Transformer as basic blocks. However, limited by the shifted window attention, S
Externí odkaz:
http://arxiv.org/abs/2409.14090
Autor:
V, Pandiyaraju, Venkatraman, Shravan, A, Abeshek, S, Pavan Kumar, A, Aravintakshan S, M, Senthil Kumar A, A, Kannan
Farmers face various challenges when it comes to identifying diseases in rice leaves during their early stages of growth, which is a major reason for poor produce. Therefore, early and accurate disease identification is important in agriculture to av
Externí odkaz:
http://arxiv.org/abs/2407.11753
Publikováno v:
工程科学学报, Vol 46, Iss 10, Pp 1856-1863 (2024)
The channel attention mechanism can effectively make use of different feature channels. By weighting and adjusting the channels of feature graphs, convolutional neural networks can pay more attention to important feature channels, thus improving thei
Externí odkaz:
https://doaj.org/article/3947b33d5ff74f8895e278431defc07b
Autor:
Kim, Byunggun, Kwon, Younghun
Speech emotion recognition (SER) classifies human emotions in speech with a computer model. Recently, performance in SER has steadily increased as deep learning techniques have adapted. However, unlike many domains that use speech data, data for trai
Externí odkaz:
http://arxiv.org/abs/2409.04007
Channel and spatial attentions have respectively brought significant improvements in extracting feature dependencies and spatial structure relations for various downstream vision tasks. While their combination is more beneficial for leveraging their
Externí odkaz:
http://arxiv.org/abs/2407.05128