Browse State-of-the-Art › channel selection
channel selection
27 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
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Most implemented papers archive 2025-07-28
27 shown of 27 papers with code (119 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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27 Feb 2020 4 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)Experiment results show that learning in the frequency domain with static channel selection can achieve higher accuracy than the conventional spatial downsampling approach and meanwhile further reduce the input data…
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12 Sep 2025 1 repository listedThe advantages of the proposed method include enhanced performance, robustness over varying data paradigms and the type of prediction model.
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17 May 2025 1 repository listedAlthough deep learning has substantially advanced speech separation in recent years, most existing studies continue to prioritize separation quality while overlooking computational efficiency, an essential factor for…
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13 May 2025 1 repository listedIn this paper, we propose a novel attention module termed the Differentiable Channel Selection Attention module, or the DCS-Attention module.
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13 Oct 2024 1 repository listedSlimSeiz operates in two states: the first stage selects the optimal channel set for seizure prediction using machine learning algorithms, and the second stage employs a lightweight neural network based on convolution…
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20 Jun 2024 1 repository listedColor Filter Arrays (CFA) are optical filters in digital cameras that capture specific color channels.
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18 Jun 2024 1 repository listedUnlike related work, we go beyond evaluation and also showcase the actionability of the produced explainer ranking, by using the best attribution methods for the task of channel selection in MTSC.
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2 May 2024 1 repository listedThis work investigates the efficacy of different deep learning and Riemannian geometry-based classification models in the context of motor imagery (MI) based BCI using electroencephalography (EEG).
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16 Mar 2024 1 repository listedInfrared small object detection is an important computer vision task involving the recognition and localization of tiny objects in infrared images, which usually contain only a few pixels.
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10 Oct 2023 1 repository listedIn this paper, we propose a new structured pruning method.
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12 Apr 2023 1 repository listedThe statistical heterogeneity (e.
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6 Mar 2023 1 repository listedTo understand and debug convolutional neural networks (CNNs) we propose techniques for testing the channels of CNNs.
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25 Jul 2022 1 repository listedCurrently, convnets pre-trained with self-supervision have obtained comparable performance on downstream tasks in comparison to their supervised counterparts in computer vision.
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11 Jul 2022 1 repository listed Syntology ran 9 of 11 samples · 2 unverified · 11 pointer-only (licence)Personalized FL tackles this issue by only utilizing partial model parameters shared from global server, while keeping the rest to adapt to its own data distribution in the local training of each site.
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1 Jul 2022 1 repository listedRecently, motor imagery EEG signals have been widely applied in Brain–Computer Interfaces (BCI).
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18 Jun 2022 1 repository listedChannel selection is applied as a pre-processing step before training state-of-the-art MTSC algorithms and saves about 70\% of computation time and data storage, with preserved accuracy.
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1 Mar 2022 1 repository listed Syntology ran 0 of 8 samples · 8 unverifiedDensity-based and classification-based methods have ruled unsupervised anomaly detection in recent years, while reconstruction-based methods are rarely mentioned for the poor reconstruction ability and low performance.
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26 Jan 2022 1 repository listedWe show a crucial interplay between providing a high-capacity model at the beginning of training and the compression pressure forcing the model to compress concepts into retained channels.
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18 Dec 2021 1 repository listedThe proposed approach is still in the upper range of the best state of the art works despite a difficult dataset, and has the advantage of providing a fully automatic analysis without requiring any manual procedure.
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6 Apr 2021 1 repository listedFully exploiting ad-hoc microphone networks for distant speech recognition is still an open issue.
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14 Oct 2020 1 repository listedIn this paper, we propose a balanced filter pruning method for both performance and pruning speed.
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3 Feb 2020 1 repository listedIn the first stage, the input image and the conditional semantic guidance are fed into a cycled semantic-guided generation network to produce initial coarse results.
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30 Jul 2019 1 repository listedWe propose a new Group Feature Selection method for Discriminative Correlation Filters (GFS-DCF) based visual object tracking.
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11 Dec 2018 1 repository listedImportant applications such as mobile computing require reducing the computational costs of neural network inference.
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28 Oct 2018 1 repository listedChannel pruning is one of the predominant approaches for deep model compression.
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19 Jul 2017 1 repository listedIn this paper, we introduce a new channel pruning method to accelerate very deep convolutional neural networks.
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3 Nov 2016 1 repository listedColor channel selection is essential for accurate segmentation of sky and clouds in images obtained from ground-based sky cameras.
Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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