Multimodal Token Fusion for Vision Transformers

Many adaptations of transformers have emerged to address the single-modal vision tasks, where self-attention modules are stacked to handle input sources like images. Intuitively, feeding multiple modalities of data to vision transformers could improve the performance, yet the innermodal attentive we...

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Vydané v:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) s. 12176 - 12185
Hlavní autori:	Wang, Yikai, Chen, Xinghao, Cao, Lele, Huang, Wenbing, Sun, Fuchun, Wang, Yunhe
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2022
Predmet:	categorization Computer architecture Deep learning architectures and techniques; Recognition: detection grouping and shape analysis; Vision + X Image segmentation Object detection Point cloud compression retrieval; Segmentation Semantics Shape Three-dimensional displays
ISSN:	1063-6919
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