Results 11 to 20 of about 4,485,063 (290)

WaveNets: Wavelet Channel Attention Networks [PDF]

2022 IEEE International Conference on Big Data (Big Data), 2022
IEEE BigData2022 ...
Hadi Salman, Caleb Parks, Shi Yin Hong, Justin Zhan   +3 more
openaire   +3 more sources

OrthoNets: Orthogonal Channel Attention Networks

2023 IEEE International Conference on Big Data (BigData), 2023
IEEE BigData ...
Hadi Salman, Caleb Parks, Matthew Swan, John Gauch   +3 more
openaire   +4 more sources

MCA: Moment Channel Attention Networks [PDF]

Proceedings of the AAAI Conference on Artificial Intelligence
Channel attention mechanisms endeavor to recalibrate channel weights to enhance representation abilities of networks. However, mainstream methods often rely solely on global average pooling as the feature squeezer, which significantly limits the overall potential of models.
Yangbo Jiang, Zhiwei Jiang, Le Han, Zenan Huang, Nenggan Zheng   +4 more
openaire   +4 more sources

Automatic Channel Pruning for Multi-Head Attention [PDF]

CoRR
Despite the strong performance of Transformers, their quadratic computation complexity presents challenges in applying them to vision tasks. Automatic pruning is one of effective methods for reducing computation complexity without heuristic approaches.
Eunho Lee, Youngbae Hwang
core   +5 more sources

3D CATBraTS: Channel Attention Transformer for Brain Tumour Semantic Segmentation [PDF]

, 2023
Brain tumour diagnosis is a challenging task yet crucial for planning treatments to stop or slow the growth of a tumour. In the last decade, there has been a dramatic increase in the use of convolutional neural networks (CNN) for their high performance ...
Bonmati Coll, E., Psarrou, A., Villarini, B., El Badaoui, R.   +3 more
core   +1 more source

Attentional Sampling between Eye Channels

Journal of Cognitive Neuroscience, 2023
Abstract Our ability to detect targets in the environment fluctuates in time. When individuals focus attention on a single location, the ongoing temporal structure of performance fluctuates at 8 Hz. When task demands require the distribution of attention over two objects defined by their location, color or motion direction, ongoing ...
Daniele Re, Golan Karvat, Ayelet N. Landau   +2 more
openaire   +3 more sources

Essays on Channel Deletion and Channel Contraction [PDF]

, 2022
With the advent of online, mobile, and social media channels, firms have an array of channels in their channel mix. The proliferation of channels has increased marketing costs and may be detrimental to a firm’s competitive position.
Kumar, Binay
core   +1 more source

MAS-UNet: a U-shaped network for prostate segmentation

Frontiers in Medicine, 2023
Prostate cancer is a common disease that seriously endangers the health of middle-aged and elderly men. MRI images are the gold standard for assessing the health status of the prostate region.
YuQi Hong, Zhao Qiu, Huajing Chen, Bing Zhu, Haodong Lei   +4 more
doaj   +1 more source

IRE: Improved Image Super-Resolution Based on Real-ESRGAN

IEEE Access, 2023
Image super-resolution (SR) is a research field focusing on image degradation techniques. The High-order Deterioration Model (HDM) implemented in Real-ESRGAN has proven more effective in simulating the degradation of real-world images compared to ...
Zhengwei Zhu, Yushi Lei, Yilin Qin, Chenyang Zhu, Yanping Zhu   +4 more
doaj   +1 more source

iEnhancer-DCSV: Predicting enhancers and their strength based on DenseNet and improved convolutional block attention module

Frontiers in Genetics, 2023
Enhancers play a crucial role in controlling gene transcription and expression. Therefore, bioinformatics puts many emphases on predicting enhancers and their strength.
Jianhua Jia, Rufeng Lei, Lulu Qin, Genqiang Wu, Xin Wei   +4 more
doaj   +1 more source