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pro vyhledávání: '"Nikzad, Nick"'
Over the past few years, vision transformers (ViTs) have consistently demonstrated remarkable performance across various visual recognition tasks. However, attempts to enhance their robustness have yielded limited success, mainly focusing on differen
Externí odkaz:
http://arxiv.org/abs/2409.19850
In recent years, convolutional neural networks (CNNs) with channel-wise feature refining mechanisms have brought noticeable benefits to modelling channel dependencies. However, current attention paradigms fail to infer an optimal channel descriptor c
Externí odkaz:
http://arxiv.org/abs/2405.05755