Successive Consensus Clustering for Unsupervised Video-Based Person Re-Identification
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DOI: 10.1109/lsp.2022.3156443
Abstract: Person re-identification is to match the same person between non-overlapping cameras. This paper focuses on unsupervised video-based person re-identification. The mainstream approach is to obtain pseudo-labels by clustering samples for training the classification model. In… read more here.
Keywords: person; person identification; unsupervised video; consensus clustering ... See more keywords
Flow-Edge Guided Unsupervised Video Object Segmentation
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DOI: 10.1109/tcsvt.2021.3057872
Abstract: Recently, deep learning techniques have achieved significant improvements in unsupervised video object segmentation (UVOS). However, many of existing approach cannot accurately identify the foreground objects and the background as they commonly use the coarse temporal… read more here.
Keywords: unsupervised video; video object; segmentation; flow edge ... See more keywords
Implicit Motion-Compensated Network for Unsupervised Video Object Segmentation
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DOI: 10.1109/tcsvt.2022.3165932
Abstract: Unsupervised video object segmentation (UVOS) aims at automatically separating the primary foreground object(s) from the background in a video sequence. Existing UVOS methods either lack robustness when there are visually similar surroundings (appearance-based) or suffer… read more here.
Keywords: network; implicit motion; motion; unsupervised video ... See more keywords
Unsupervised Video Summarization With Cycle-Consistent Adversarial LSTM Networks
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DOI: 10.1109/tmm.2019.2959451
Abstract: Video summarization is an important technique to browse, manage and retrieve a large amount of videos efficiently. The main objective of video summarization is to minimize the information loss when selecting a subset of video… read more here.
Keywords: video; cycle consistent; video summarization; unsupervised video ... See more keywords
JOKR: Joint Keypoint Representation for Unsupervised Video Retargeting
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DOI: 10.1111/cgf.14616
Abstract: In unsupervised video retargeting, content is transferred from one video to another while preserving the original appearance and style, without any additional annotations. While this challenge has seen substantial advancements through the use of deep… read more here.
Keywords: geometry; keypoint; unsupervised video; video retargeting ... See more keywords