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  1. 1 day ago · Visual perception tasks are predominantly solved by Vision Transformer (ViT) architectures, which, despite their effectiveness, encounter a computational bottleneck due to the quadratic complexity of computing self-attention. This inefficiency is largely due to the self-attention heads capturing redundant token interactions, reflecting inherent redundancy within visual data. Many works have aimed to reduce the computational complexity of self-attention in ViTs, leading to the development of ...

  2. 5 days ago · This is the promotional video of KBFC Reserve Team player - Aritra Das (2023/2024 season).

    • 9 min
    • Tomek
  3. 9 hours ago · The cell images are first pre-processed to amplify the volume of training data according to the category of training mechanism adopted. The entire training process consists of three phases—(1) training the feature extraction models in a supervised manner, (2) reducing the volume of the feature pool by clustering, and dimensionality reduction (3) constructing a comprehensive light-weight simulation system that assembles all class samples into a dense relation aware cluster network for ...

  4. 1 day ago · arXiv:2406.19391v1 Announce Type: new Abstract: Visual perception tasks are predominantly solved by Vision Transformer (ViT) architectures, which, despite their effectiveness, encounter a computational bottleneck due to the quadratic complexity of computing self-attention. This inefficiency is largely due to the self-attention …

  5. 3 days ago · Gopal Das, another shack owner, said he had been desperately calling the local party leaders since morning but none took his call. ... This should be a sustained drive,” said Aritra Ganguly, a ...

  6. 4 days ago · Aritra Sarkar. Automated quantum software engineering. Automated Software Engineering, 31(1):1-17 ... Turbasu Chatterjee, Arnav Das, Shah Ishmam Mohtashim, Amit Saha ...

  7. 1 day ago · This Special Collection in JACS aims to curate high-impact, significant contributions from India spanning a wide spectrum of interdisciplinary areas over the past 25 years.