Efficient foreground object segmentation from video by Probability Weighted Moments
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DOI: 10.1016/j.ijleo.2020.166251
Abstract: Abstract Segmentation of foreground objects is an important issue in computer vision. Since, there exist no predefined classes for unsupervised learning, which makes it computationally expensive. Also, the contrast of foreground to background needs to… read more here.
Keywords: object segmentation; foreground; segmentation; probability weighted ... See more keywords
Video object segmentation via attention‐modulating networks
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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
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
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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
LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2019.2922582
Abstract: Object segmentation in three-dimensional (3-D) point clouds is a critical task for robots capable of 3-D perception. Despite the impressive performance of deep learning-based approaches on object segmentation in 2-D images, deep learning has not… read more here.
Keywords: label diffusion; segmentation; object segmentation; point ... See more keywords
EmPointMovSeg: Sparse Tensor-Based Moving-Object Segmentation in 3-D LiDAR Point Clouds for Autonomous Driving-Embedded System
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2022.3172031
Abstract: Object segmentation is a per-pixel label prediction task that targets at providing context analysis for autonomous driving. Moving-object segmentation (MOS) serves as a subbranch of object segmentation, targeting to separating the surrounding objects into binary… read more here.
Keywords: system; segmentation; object segmentation; lidar ... See more keywords
Spatio-Temporal Dual-Branch Network With Predictive Feature Learning for Satellite Video Object Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3148310
Abstract: Satellite video is an important new earth observation data source that can be used to acquire large-scale dynamic information. Satellite video object segmentation (SVOS) is aimed at separating the foreground and background of satellite video… read more here.
Keywords: network; branch; object segmentation; satellite video ... See more keywords
Self Supervised Progressive Network for High Performance Video Object Segmentation.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3219936
Abstract: Recently, self-supervised video object segmentation (VOS) has attracted much interest. However, most proxy tasks are proposed to train only a single backbone, which relies on a point-to-point correspondence strategy to propagate masks through a video… read more here.
Keywords: supervised progressive; self supervised; video object; object segmentation ... See more keywords
Gamifying Video Object Segmentation
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DOI: 10.1109/tpami.2016.2610973
Abstract: Video object segmentation can be considered as one of the most challenging computer vision problems. Indeed, so far, no existing solution is able to effectively deal with the peculiarities of real-world videos, especially in cases… read more here.
Keywords: object segmentation; video; gamifying video; segmentation ... See more keywords
A Signal-Domain Object Segmentation Method for Ultrasound and Photoacoustic Computed Tomography
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control"
DOI: 10.1109/tuffc.2022.3232174
Abstract: Image segmentation is important in improving the diagnostic capability of ultrasound computed tomography (USCT) and photoacoustic computed tomography (PACT), as it can be included in the image reconstruction process to improve image quality and quantification… read more here.
Keywords: computed tomography; domain; segmentation; object segmentation ... See more keywords
Boundary connectedness-based salient video object segmentation
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.27.5.051206
Abstract: Abstract. One of the most challenging tasks in computer vision is to emulate human cognitive ability to extract the salient object in a scene. We tackle the task of unsupervised salient video object segmentation using… read more here.
Keywords: object segmentation; salient; segmentation; salient video ... See more keywords