Jul 26, 2021 · In this work, we design a novel Transformer-style module, i.e., Contextual Transformer (CoT) block, for visual recognition. Such design fully capitalizes on the contextual …

Apr 1, 2022 · In this work, we design a novel Transformer-style module, i.e., Contextual Transformer (CoT) block, for visual recognition. Such design fully capitalizes on the contextual …

a novel Transformer-style module, i.e., Contextual Trans-former (CoT) block, for visual recognition. Such design fully capitalizes on the contextual information among input keys to …

A COTS (Commercial Off The Shelf) module is as described, a pre build designed module that you can plug into a system to extend its functionality. We currently offer two types of COTS …

Feb 14, 2024 · The CoT module can help the model to learn fine-grained correlation information between local regions, to more accurately capture subtle differences in facial expressions and …

Jun 1, 2024 · To address this limitation, our study examines an innovative approach called CoTNet. The CoT module is integrated into the ResNet model to more comprehensively …

CoT is a unified self-attention building block, and acts as an alternative to standard convolutions in ConvNet. As a result, it is feasible to replace convolutions with their CoT counterparts for …

Jul 26, 2021 · Here we design a novel Transformer-style module, i.e., Contextual Transformer (CoT) block, for visual recognition. It fully capitalizes on the contextual information among …

Apr 1, 2022 · Here we design a novel Transformer-style module, i.e., Contextual Transformer (CoT) block, for visual recognition. It fully capitalizes on the contextual information among …

Jul 11, 2022 · In this paper, we proposed two improved ResNet algorithms that introduced the Contextual Transformer (CoT) module, group convolution, and Channel Shuffle mechanism …