Browse State-of-the-Art › Hand Segmentation
Hand Segmentation
11 papers with code · 0 benchmarks · 4 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
4 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
11 shown of 11 papers with code (36 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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23 Apr 2022 2 repositories listedMulti-class product counting and recognition identifies product items from images or videos for automated retail checkout.
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14 Jun 2018 2 repositories listedWe propose a two-stage convolutional neural network (CNN) architecture for robust recognition of hand gestures, called HGR-Net, where the first stage performs accurate semantic segmentation to determine hand regions,…
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19 Jul 2024 1 repository listedIndustry 4.
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21 Mar 2022 1 repository listedWe introduce the novel problem of anticipating a time series of future hand masks from egocentric video.
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6 Jul 2021 1 repository listedWe validated our method on domain adaptation of hand segmentation from real and simulation images.
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14 Nov 2020 1 repository listedHand segmentation and detection in truly unconstrained RGB-based settings is important for many applications.
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1 Jun 2020 1 repository listedTo this end, we propose a Bayesian CNN-based model adaptation framework for hand segmentation, which introduces and considers two key factors: 1) prediction uncertainty when the model is applied in a new domain and 2)…
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31 Jul 2018 1 repository listedOur model is built on the observation that egocentric activities are highly characterized by the objects and their locations in the video.
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8 Mar 2018 1 repository listedIn the quest for robust hand segmentation methods, we evaluated the performance of the state of the art semantic segmentation methods, off the shelf and fine-tuned, on existing datasets.
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5 Aug 2017 1 repository listedTo overcome this challenge, we develop a neural network which is able to adapt the receptive field not only for each layer but also for each neuron at the spatial location.
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8 Mar 2016 1 repository listedThus, we propose hand segmentation method for hand-object interaction using only a depth map.
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