We introduce banks, shared structures that are used by each decoding block to provide additional context in the ... improve performance on depth estimation for state-of-the-art transformer-based ...

Specifically, this architecture builds a dual encoder of swin transformer and 3D ... Moreover, a triple decoder with a fusion module, a boundary-awareness mechanism, and a transposed-residual ...

In this study, we proposed deep learning-based architecture, Transformer ResU-Net (TransResU-Net), for automatic polyp segmentation. TresResU-Net is an encoder-decoder based architecture built upon ...

The Transformer design includes an encoder-decoder structure, however in the context of ASD ... 4 Proposed model of ASD multi-view united transformer block In this section, we introduce the ASD ...

In a paper published in National Science Review, a team of Chinese scientists developed an attention-based deep learning model, CGMformer, pretrained on a well-controlled and diverse corpus of ...

Shockwave's design varies across Transformers media, with different iterations offering unique takes on the iconic character. The "Transformers: Prime" version of Shockwave is bulkier and more ...

Given the immense interest sparked by Nirmala Sitharaman’s post, The Times of India has made this piece free to read. Yajnadevam’s research challenges the Aryan invasion theory—was Sanskrit ...