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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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A comparative evaluation of interactive segmentation algorithms [PDF]
, 2010 In this paper we present a comparative evaluation of four popular interactive segmentation algorithms. The evaluation was carried out as a series of user-experiments, in which participants were tasked with extracting 100 objects from a common dataset: 25
McGuinness, Kevin +2 more
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Image segmentation evaluation using an integrated framework [PDF]
, 2007 In this paper we present a general framework we have developed for running and evaluating automatic image and video segmentation algorithms. This framework was designed to allow effortless integration of existing and forthcoming image segmentation ...
McGuinness, Kevin +3 more
core +2 more sources
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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Image segmentation, evaluation, and applications [PDF]
, 2010 This thesis aims to advance research in image segmentation by developing robust techniques for evaluating image segmentation algorithms. The key contributions of this work are as follows. First, we investigate the characteristics of existing measures for
McGuinness, Kevin
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Frontiers in Neuroimaging, 2023 IntroductionThe automatic segmentation of brain parenchyma and cerebrospinal fluid-filled spaces such as the ventricular system is the first step for quantitative and qualitative analysis of brain CT data.
Annika Gerken +7 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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Melodic segmentation: structure, cognition, algorithms
Musicologica Brunensia, 2017 Segmentation of melodies into smaller units (phrases, themes, motifs, etc.) is an important process in both music analysis and music cognition. Also, segmentation is a necessary preprocessing step for various tasks in music information retrieval. Several
Zuzana Cenkerová
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DCSLK: Combined large kernel shared convolutional model with dynamic channel Sampling
NeuroImageThis study centers around the competition between Convolutional Neural Networks (CNNs) with large convolutional kernels and Vision Transformers in the domain of computer vision, delving deeply into the issues pertaining to parameters and computational ...
Zongren Li +3 more
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Frontiers in Aging Neuroscience, 2015 This study created and tested a database of adult, age-specific MRI brain and head templates. The participants included healthy adults from 20 through 89 years of age. The templates were done in 5-year, 10-year, and multi-year intervals from 20 through
Paul T Fillmore +4 more
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