TART is a package for training and deploying task-agnostic reasoning modules which can be composed with arbitrary foundation models to improve in-context learning peformance for classification tasks.
Remarkable effectiveness of the channel or spatial attention mechanisms for producing more discernible feature representation are illustrated in various computer vision tasks. However, modeling the ...
This repository formalizes the design and implementation of the Universal Module Definition (UMD) API for JavaScript modules. These are modules which are capable of working everywhere, be it in the ...
The MID49 Direct Connect Fujifilm ETERNA 55 XLR Module includes phantom power, balanced audio, and knobs for adjusting audio levels. The Direct Connect Fujifilm ETERNA 55 XLR Module is a modified ...
Abstract: The base-plate solder fatigue of the IGBT module is one of the failures of the wind power converter; however, the existing health condition monitoring method based on infrared thermography ...
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