Diverse instance discovery: Vision-Transformer for instance-aware multi-label image recognition

doi:doi:10.57702/juzm3om4

Diverse instance discovery: Vision-Transformer for instance-aware multi-label image recognition

Multi-label image recognition is a practical and challenging computer vision task. The authors propose a method to leverage the advantages of Transformer with long-range dependency modeling to circumvent the disadvantages of CNNs limited to local receptive fields.

BibTex:

@dataset{Yunqing_Hu_and_Xuan_Jin_and_Yin_Zhang_and_Haiwen_Hong_and_Jingfeng_Zhang_and_Feihu_Yan_and_Yuan_He_and_Hui_Xue_2024,
    abstract = {Multi-label image recognition is a practical and challenging computer vision task. The authors propose a method to leverage the advantages of Transformer with long-range dependency modeling to circumvent the disadvantages of CNNs limited to local receptive fields.},
    author = {Yunqing Hu and Xuan Jin and Yin Zhang and Haiwen Hong and Jingfeng Zhang and Feihu Yan and Yuan He and Hui Xue},
    doi = {10.57702/juzm3om4},
    institution = {No Organization},
    keyword = {'Instance-aware', 'Multi-label Image Recognition', 'Vision Transformer'},
    month = {dec},
    publisher = {TIB},
    title = {Diverse instance discovery: Vision-Transformer for instance-aware multi-label image recognition},
    url = {https://service.tib.eu/ldmservice/dataset/diverse-instance-discovery--vision-transformer-for-instance-aware-multi-label-image-recognition},
    year = {2024}
}