Vision transformers (ViTs) are powerful artificial intelligence (AI) technologies that can identify or categorize objects in images -- however, there are significant challenges related to both ...
Transformers, first proposed in a Google research paper in 2017, were initially designed for natural language processing (NLP) tasks. Recently, researchers applied transformers to vision applications ...
Video clips from N2010 (Nakano et al., 2010) and CW2019 (Costela and Woods, 2019) were presented to ViTs. The gaze positions of each self-attention head in the class token ([CLS]) — identified as peak ...
The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...
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