To guarantee real-time location detection and improve the accuracy of mushroom segmentation, this study proposed a new spatial-channel transformer network model based on Mask-CNN (SCTMask-RCNN). The fusion of Mask-RCNN with the self-attention mechanism extracts the ...
SCTransNet: Spatial-channel Cross Transformer Network for Infrared Small Target Detection [Paper] [Weight] Shuai Yuan, Hanlin Qin, Xiang Yan, Naveed Akhtar, Aimal Main, IEEE Transactions on Geoscience and Remote Sensing 2024. SCTransNet 是PRCV 2024、ICPR 2024 Track 1、ICPR 2024 Track 2 三项比...
uses self-attention integrated into a residual neural network (ResNet), Multi-Head Self-Attention (MHSA) layers instead of spatial convolutions, and concatenates multiple pure transformer module encoders to improve the attention-dependent representation learning performance. Ma et al.31proposed a homo-...
Mobile- former: Bridging mobilenet and transformer. In Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 5270–5279, 2022. 1 [3] Yunpeng Chen, Haoqi Fan, Bing Xu, Zhicheng Yan, Yan- nis Kalantidis, Marcus Rohrbach,...
With the advancement of CNN and transformer technologies, lane mark detection technology is receiving increasing attention in science. The three main areas of interest of research and major achievements are as follows: 1. Tradition approaches based on vision. The primary technologies at this level ...
《SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification》论文:https://arxiv.org/pdf/1810.06996.pdfGitHub:https://github.com/xfanplus/Open-SCPNet 这是发表在ACCV2018上的一篇paper,做的是遮挡下的reid,即partial reid,19年2月基于pytorch的代码刚放出来。 SCP...
The recently popular Transformer [32] was a powerful attention mechanism module, including a self-attention mechanism and cross-attention mechanism. Its application had enabled many algorithms to achieve state-of-the-art performance. Overall, the attention mechanism was applied to many deep learning ta...
The tracking methods based on Transformer have shown great potential in visual tracking and achieved significant tracking performance. The traditional tran... J Wang,C Lai,Y Wang,... - 《Neural Networks the Official Journal of the International Neural Network Society》 被引量: 0发表: 2024年 Que...
To address these issues, we propose DMMFnet, an encoder-decoder fusion network that utilizes shared and private encoders to extract shared and private features. DMMFnet is based on super token sampling and channel-spatial attention. The shared encoder and decoder use a tr...
Plizzari C, Cannici M, Matteucci M (2020) Spatial temporal transformer network for skeleton-based action recognition. arXiv:2008.07404 Shen J, Tang X, Dong X, Shao L (2020) Visual object tracking by hierarchical attention siamese network. IEEE Trans Cybern 50(7):3068–3080 Article Google Scho...