Uncover the Vetrite Neptune system by SICIS, merging decorative glass with safety and innovation in stunning architectural applications.

CelloType comprises three key modules: (1) a Swin Transformer-based feature extraction module that generates multiscale image features for use in DINO and MaskDINO; (2) a DINO module for object ...

Attention maps can be used to interpret transformer models for NLP tasks in various ways, such as analyzing the semantic and syntactic roles of words and phrases in a sentence, identifying the ...

A multidimensional information fusion module is introduced to balance the semantic differences between features maps in CNNs and attention maps in transformers. A multitask loss function comprising ...

Furthermore, incorporating the Swin transformer backbone network further enhanced detection accuracy and reduced computational load. Comparative experiments against traditional object detection models ...

Timely acquiring the earthquake-induced damage of buildings is crucial for emergency assessment and post-disaster rescue. Optical remote sensing is a typical method for obtaining seismic data due to ...

You can use libraries and tools, such as Transformers, Hugging Face, or Captum, to extract and visualize the attention weights from various transformer models, such as BERT, GPT-2, or T5.

1 College of Meteorology and Oceanology, National University of Defense Technology, Changsha, China 2 Xi’an Satellite Control Center, Xi’an, China Numerical weather prediction (NWP) provides the ...