一般来说,视觉特征是通过局部连接卷积提取的,这使得它们是孤立的和关系不可知的。Transformer Encoder对图像描述的性能有很大的贡献,因为它可以对输入之间的关系进行建模,通过Self Attention丰富视觉特征。为了更好地建模两种特征的层内关系,作者设计了一个双向的Self Attention(DWSA),它由两个独立的Self Attention模块组成。
This repository contains the reference code for the paperDual-Level Collaborative Transformer for Image CaptioningandImproving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer Network. Experiment setup please refer tom2 transformer ...
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative TransformerYining MaJingwen LiZhiguang CaoWen SongLe ZhangZhenghua ChenJing TangNeural Information Processing Systems
Brain tumor segmentation in multimodal MRI via pixel-level and feature-level image fusion Front. Neurosci., 16 (2022), 10.3389/fnins.2022.1000587 Google Scholar [8] Y. Chen, J. Wang TSEUnet: a 3D neural network with fused Transformer and SE-Attention for brain tumor segmentation 2022 IEEE ...
However, as an ef- fective architecture for relationship modeling, transformer is less explored in multi-label recognition tasks. 3. Approach In this section, we introduce a novel collaborative learn- ing framework with joint structural and semantic relational graphs...
Simulating spatial relationships, the image transformer [35] employs improvised encoder and decoder units. A dual level collaborative transformer (DLCT) approach uses both grid and region features to generate image captions [45]. Researchers introduced the CAAG (context-aware auxiliary guidance) ...
The MOD mobile collaborative robot itself is an operator that can move autonomously, Timely complete the tasks of multiple different stations in the production line. Using Mecanum wheel drive mode, Realize 360° movement in any direction, and can work flexibly in a small working sp...
Multi-level alignment net- work for domain adaptive cross-modal retrieval. Neurocom- puting, 440:207–219, 2021. 2, 7, 8 [18] Han Fang, Pengfei Xiong, Luhui Xu, and Yu Chen. Clip2video: Mastering video-text retrieval via image CLIP. arXiv preprint ar...
a Transformer network, and strategically positioned skip connections. Both the encoder and decoder harness the power of convolutional neural networks to extract essential low-level features, while the Transformer network employs self-attention mechanisms to capture extensive global image information. Within ...
DSTrans: Dual-Stream Transformer for Hyperspectral Image Restoration Dabing Yu, Qingwu Li, Xiaolin Wang, Zhiliang Zhang, Yixi Qian and Chang Xu Hohai university {yudadabing, zhangzl, 211620010037, xuchang}@hhu.edu.cn, {li qingwu, xlwang1998}@163.com Abstract Most C...