Results 21 to 30 of about 4,971,844 (261)
Multi-Frame Labeled Faces Database: Towards Face Super-Resolution from Realistic Video Sequences
Applied Sciences, 2020 Forensically trained facial reviewers are still considered as one of the most accurate approaches for person identification from video records. The human brain can utilize information, not just from a single image, but also from a sequence of images (i.e.
Martin Rajnoha +2 more
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Meeting Up Together: Economic Embeddedness of Social Capital in America
Social Sciences, 2022 Where do people meet? And how does their region’s wealth effect where they meet? Investigating these patterns across the United States, we explore community organization and association venues based on data provided from Meetup.com.
Tyler Horan
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Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020 We introduce TechQA, a domain-adaptation question answering dataset for the technical support domain. The TechQA corpus highlights two real-world issues from the automated customer support domain. First, it contains actual questions posed by users on a technical forum, rather than questions generated specifically for a competition or a task. Second, it
Vittorio Castelli +20 more
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EmoStudent: Developing a Dataset to Analyse Students' Emotional Well-Being
Proceedings of the International Conference on Applied Innovations in IT, 2023 This article introduces an initial version of a dataset designed to educate and assess models that concentrate on studying of the emotional condition of students throughout the remote learning process. This dataset comprises short video clips showing the
Svitlana Antoshchuk, Anastasiia Breskina
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CoRR, 2021 arXiv admin note: text overlap with arXiv:2009 ...
Scarlett Raine +5 more
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2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 State-of-the-art deep neural networks are trained with large amounts (millions or even billions) of data. The expensive computation and memory costs make it difficult to train them on limited hardware resources, especially for recent popular large language models (LLM) and computer vision models (CV).
Daquan Zhou +7 more
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Ru-Birds.RU, bird observations from Russia and neighbouring regions: an occurrence dataset [PDF]
Biodiversity Data Journal, 2021 The dataset covers bird observation occurrences in Russia and neighbouring regions (ex-USSR countries and some other countries of Eastern and Western Europe) from 2001–2021. It is based on the internet platform “Online bird observation diaries” (ru-birds.
Ilya Ukolov +4 more
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4Weed Dataset: Annotated Imagery Weeds Dataset
CoRR, 2022 Weeds are a major threat to crops and are responsible for reducing crop yield worldwide. To mitigate their negative effect, it is advantageous to accurately identify them early in the season to prevent their spread throughout the field. Traditionally, farmers rely on manually scouting fields and applying herbicides for different weeds.
Varun Aggarwal +3 more
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CoRR, 2018 Model distillation aims to distill the knowledge of a complex model into a simpler one. In this paper, we consider an alternative formulation called dataset distillation: we keep the model fixed and instead attempt to distill the knowledge from a large training dataset into a small one.
Tongzhou Wang 0001 +3 more
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, 2023 Scandinavian Conference on Image Analysis ...
Juan Pablo Lagos +2 more
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