Video object segmentation via attention‐modulating networks
Sign Up to like & getrecommendations! Published in 2019 at "Electronics Letters"
DOI: 10.1049/el.2019.0304
Abstract: This Letter presents an attention-modulating network for video object segmentation that can well adapt its segmentation model to the annotated frame. Specifically, the authors first develop an efficient visual and spatial attention modulator to fast… read more here.
Keywords: video object; attention modulating; attention; object segmentation ... See more keywords
Multiframe CenterNet Heatmap ROI Aggregation for Real-Time Video Object Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3174195
Abstract: Though Two-stage video object detectors cannot perform detection in real time, the accuracy of them is normally higher than that of one-stage video object detectors. One essence is that two-stage video detectors can easily use… read more here.
Keywords: centernet; heatmap; video object; video ... See more keywords
Video Sparse Transformer with Attention-guided Memory for Video Object Detection
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DOI: 10.1109/access.2022.3184031
Abstract: Detecting objects in a video, known as Video Object Detection (VOD), is challenging since appearance changes of objects over time may bring detection errors. Recent research has focused on aggregating features from adjacent frames to… read more here.
Keywords: video object; detection; object detection; memory ... See more keywords
Local Memory Read-and-Comparator for Video Object Segmentation
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DOI: 10.1109/access.2022.3201245
Abstract: Recently, the memory-based approach, which performs non-local matching between previously segmented frames and a query frame, has led to significant improvement in video object segmentation. However, the positional proximity of the target objects between the… read more here.
Keywords: local memory; memory read; video object; object segmentation ... See more keywords
Scribble-Supervised Video Object Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2021.1004210
Abstract: Recently, video object segmentation has received great attention in the computer vision community. Most of the existing methods heavily rely on the pixel-wise human annotations, which are expensive and time-consuming to obtain. To tackle this… read more here.
Keywords: object segmentation; segmentation scribble; segmentation; scribble supervised ... See more keywords
Flow-Edge Guided Unsupervised Video Object Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
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
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
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
Selective Video Object Cutout
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2017.2745098
Abstract: Conventional video segmentation approaches rely heavily on appearance models. Such methods often use appearance descriptors that have limited discriminative power under complex scenarios. To improve the segmentation performance, this paper presents a pyramid histogram-based confidence… read more here.
Keywords: video; selective video; cutout; object cutout ... See more keywords
Unsupervised Online Video Object Segmentation With Motion Property Understanding
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DOI: 10.1109/tip.2019.2930152
Abstract: Unsupervised video object segmentation aims to automatically segment moving objects over an unconstrained video without any user annotation. So far, only few unsupervised online methods have been reported in the literature, and their performance is… read more here.
Keywords: video object; motion; unsupervised online; segmentation ... See more keywords
Delving Deeper Into Mask Utilization in Video Object Segmentation
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DOI: 10.1109/tip.2022.3208409
Abstract: This paper focuses on the mask utilization of video object segmentation (VOS). The mask here mains the reference masks in the memory bank, i.e., several chosen high-quality predicted masks, which are usually used with the… read more here.
Keywords: reference; mask; video object; mask utilization ... See more keywords
Hierarchical Co-Attention Propagation Network for Zero-Shot Video Object Segmentation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2023.3267244
Abstract: Zero-shot video object segmentation (ZS-VOS) aims to segment foreground objects in a video sequence without prior knowledge of these objects. However, existing ZS-VOS methods often struggle to distinguish between foreground and background or to keep… read more here.
Keywords: shot video; zero shot; video object; attention ... See more keywords