April 25, 2022, 1:10 a.m. | Yunqing Hu, Xuan Jin, Yin Zhang, Haiwen Hong, Jingfeng Zhang, Feihu Yan, Yuan He, Hui Xue

cs.CV updates on arXiv.org arxiv.org

Previous works on multi-label image recognition (MLIR) usually use CNNs as a
starting point for research. In this paper, we take pure Vision Transformer
(ViT) as the research base and make full use of the advantages of Transformer
with long-range dependency modeling to circumvent the disadvantages of CNNs
limited to local receptive field. However, for multi-label images containing
multiple objects from different categories, scales, and spatial relations, it
is not optimal to use global information alone. Our goal is to …

arxiv cv discovery image image recognition transformer vision vision-transformer

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