SpotCrack: Leveraging a Lightweight Framework for Crack Segmentation in Infrastructure

Document Type

Conference Proceeding

Publication Title

Digest of Technical Papers - IEEE International Conference on Consumer Electronics

Abstract

In today's data-driven world, quick access to scholarly info is vital. However, current academic search engines face challenges such as restricted text-based searching, uncertainties related to researcher names, absence of contact details, and lack of profile summaries. To mitigate these issues, we introduce ScholarFace, an innovative concept that could transform how we search for academic knowledge. It uses face recognition and language generation technology to spot scholars in photos effortlessly, giving us rich profiles and summaries of their work. It also offers an interactive chat element for users to get more insights about a scholar, reducing online search efforts. We take privacy and ethics issues seriously and ensure ScholarFace complies with rules and regulations. With ScholarFace, we hope to create a smarter, effortless, more connected scholarly world.

DOI

10.1109/ICCE59016.2024.10444350

Publication Date

1-1-2024

Keywords

Face Recognition, Google Scholar, Information Retrieval, Language Model

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