PRO-CLIP: A CLIP-Based Category Measurement Network Through Prototype and Regularized Optimal Transportation

In unstructured environments, robots are likely to encounter desktop objects that they have never seen before. Classifying these objects precisely is a prerequisite for accomplishing object-specific manipulation tasks. However, it is time-consuming to collect large-scale object classification datase...

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Veröffentlicht in:	IEEE transactions on instrumentation and measurement 2024, Vol.73, p.1-18
Hauptverfasser:	Cao, He, Zhang, Yunzhou, Zhu, Shangdong, Wang, Lei
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Classification algorithms Convergence Datasets Feature extraction Feature regularization few-shot classification Measurement methods Modules optimal transportation (OT) prompt tuning Prototypes Regularization Robots Solid modeling Three-dimensional displays Training Transportation Tuning Vision vision-language model (VLM) Visualization
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