Results 11 to 20 of about 590,345 (318)
Segmenter: Transformer for Semantic Segmentation [PDF]
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021 Image segmentation is often ambiguous at the level of individual image patches and requires contextual information to reach label consensus. In this paper we introduce Segmenter, a transformer model for semantic segmentation. In contrast to convolution-based methods, our approach allows to model global context already at the first layer and throughout ...
Robin Strudel +3 more
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Mathematics of Operations Research, 2023 We prove that, for any positive integer m, a segment may be partitioned into m possibly degenerate or empty segments with equal values of a continuous function f evaluated on segments, assuming that f may take positive and negative values, but its value on degenerate or empty segments is zero. Funding: S.
Sergey Avvakumov, Roman N. Karasev
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Text Segmentation by Cross Segment Attention [PDF]
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020 Document and discourse segmentation are two fundamental NLP tasks pertaining to breaking up text into constituents, which are commonly used to help downstream tasks such as information retrieval or text summarization. In this work, we propose three transformer-based architectures and provide comprehensive comparisons with previously proposed approaches
Michal Lukasik +3 more
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Discrete & Computational Geometry, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Csaba Biró, William T. Trotter
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Online Segment to Segment Neural Transduction [PDF]
Proceedings of the 2016 Conference on Empirical Methods in Natural
Language Processing, 2016 We introduce an online neural sequence to sequence model that learns to alternate between encoding and decoding segments of the input as it is read. By independently tracking the encoding and decoding representations our algorithm permits exact polynomial marginalization of the latent segmentation during training, and during decoding beam search is ...
Lei Yu 0008, Jan Buys, Phil Blunsom
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Developmental Cell, 2004 The three major taxa with metameric segmentation (annelids, arthropods, and chordates) appear to use three very different molecular strategies to generate segments. However, unexpected similarities are starting to emerge from characterization of pair-rule patterning and segmental border formation.
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Linear Segmentation and Segment Significance
CoRR, 1998 9 pages, US Letter, 4 figures.
Min-Yen Kan +2 more
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SegSort: Segmentation by Discriminative Sorting of Segments [PDF]
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019 In ICCV 2019.
Jyh-Jing Hwang +6 more
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Instance Segmentation as Image Segmentation Annotation [PDF]
2019 IEEE Intelligent Vehicles Symposium (IV), 2019 The instance segmentation problem intends to precisely detect and delineate objects in images. Most of the current solutions rely on deep convolutional neural networks but despite this fact proposed solutions are very diverse. Some solutions approach the problem as a network problem, where they use several networks or specialize a single network to ...
Thomio Watanabe, Denis F. Wolf
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Temporal Segment Transformer for Action Segmentation
CoRR, 2023 Recognizing human actions from untrimmed videos is an important task in activity understanding, and poses unique challenges in modeling long-range temporal relations. Recent works adopt a predict-and-refine strategy which converts an initial prediction to action segments for global context modeling.
Zhichao Liu +7 more
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