Browse State-of-the-Art › Texture Classification
Texture Classification
33 papers with code · 0 benchmarks · 5 datasets archive 2025-07-28
Texture Classification is a fundamental issue in computer vision and image processing, playing a significant role in many applications such as medical image analysis, remote sensing, object recognition, document analysis, environment modeling, content-based image retrieval and many more.
Source: Improving Texture Categorization with Biologically Inspired Filtering
Description from the archive 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
5 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.
Most implemented papers archive 2025-07-28
30 shown of 33 papers with code (206 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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15 Apr 2019 3 repositories listed Syntology ran 3 of 5 samples · 2 unverified · 3 pointer-only (licence)The proposed methods are highly modular, readily plugged into existing deep CNNs.
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10 Jun 2015 3 repositories listedOur method uses a reduced number of parameters if compared to previous works, easing the process of fine tuning the method.
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15 Feb 2022 2 repositories listedYet these datasets are time-consuming and labor-exhaustive to obtain on realistic tasks.
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1 Jan 2020 2 repositories listed Syntology ran 0 of 1 samples · 1 unverifiedWe present a histogram layer for artificial neural networks (ANNs).
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13 Jul 2018 2 repositories listedOne important point is that all applications of BSIF in iris recognition have used the original BSIF filters, which were trained on image patches extracted from natural images.
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24 Jul 2017 2 repositories listedBased on this insight, we generalize both layers to perform a spectral analysis with wavelet transform.
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12 Jan 2016 2 repositories listedIts architecture is indeed well suited to object analysis by learning and classifying complex (deep) features that represent parts of an object or the object itself.
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14 Apr 2014 2 repositories listed Syntology ran 0 of 3 samples · 3 unverifiedIn this work, we propose a very simple deep learning network for image classification which comprises only the very basic data processing components: cascaded principal component analysis (PCA), binary hashing, and…
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21 Apr 2025 1 repository listedThese measures are applied to real-world passive sonar datasets to assess texture information in the signals and correlate the performances of the models.
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9 Mar 2025 1 repository listedTherefore, in this work, we introduce VORTEX (ViTs with Orderless and Randomized Token Encodings for Texture Recognition), a novel method that enables the effective use of ViTs for texture analysis.
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6 Jan 2025 1 repository listedVision Transformers (ViTs) have shown promise in medical image semantic segmentation (MISS) by capturing long-range correlations.
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25 Apr 2024 1 repository listedThis work contributes to the evolving landscape of artificial neural network architectures by introducing a novel pooling layer that enriches the representation of spatial features.
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19 Mar 2024 1 repository listedWe introduce TexTile, a novel differentiable metric to quantify the degree upon which a texture image can be concatenated with itself without introducing repeating artifacts (i.
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8 Mar 2023 1 repository listedTexture analysis is a classical yet challenging task in computer vision for which deep neural networks are actively being applied.
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15 Nov 2022 1 repository listed Syntology ran 0 of 1 samples · 1 unverifiedA shared goal of several machine learning communities like continual learning, meta-learning and transfer learning, is to design algorithms and models that efficiently and robustly adapt to unseen tasks.
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9 Jun 2022 1 repository listedInspired by and extending the framework of physics-informed neural networks (PINNs), we propose the TVflowNET, an unsupervised neural network approach, to approximate the solution of the TV flow given an initial image…
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21 Apr 2022 1 repository listedAutomatic terrain recognition in Mars rover images is an important problem not just for navigation, but for scientists interested in studying rock types, and by extension, conditions of the ancient Martian paleoclimate…
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1 Dec 2021 1 repository listedExisting convolutional neural networks (CNNs) often use global average pooling (GAP) to aggregate feature maps into a single representation.
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3 Aug 2021 1 repository listedSparse coding has been incorporated in models of the visual cortex for its computational advantages and connection to biology.
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21 Jul 2020 1 repository listedSecond, the spatial-spectral feature fusion strategy is designed to incorporate the spectral features into CNN architecture.
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17 May 2020 1 repository listedAs image generation techniques mature, there is a growing interest in explainable representations that are easy to understand and intuitive to manipulate.
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28 Apr 2020 1 repository listedWe investigate the benefits of using the bispectrum over the spectrum in the design of a LRI layer embedded in a shallow Convolutional Neural Network (CNN) for 3D image analysis.
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19 Mar 2020 1 repository listedLocally Rotation Invariant (LRI) image analysis was shown to be fundamental in many applications and in particular in medical imaging where local structures of tissues occur at arbitrary rotations.
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13 Sep 2019 1 repository listedTexture is one of the most-studied visual attribute for image characterization since the 1960s.
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18 Jun 2019 1 repository listedThis paper presents a new efficient approach for geometric texture analysis on 3D triangular meshes.
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16 Apr 2019 1 repository listedFirst, we develop a general and unifying framework of vectorizing diagrams that we call the \textit{Persistence Curves} (PCs), and show that several well-known summaries, such as Persistence Landscapes, fall under the…
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15 Jan 2019 1 repository listedIn future work, we can further enhance the introduced LucasCNN, LucasResNet and LucasCoordConv and include additional variables of the rich LUCAS dataset.
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20 May 2018 1 repository listedGiven that spatial and spectral approaches are known to have different characteristics, it will be interesting to incorporate a spectral approach into CNNs.
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10 Jan 2018 1 repository listedIn this paper we propose a novel texture descriptor called Fractal Weighted Local Binary Pattern (FWLBP).
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22 Apr 2016 1 repository listedWe present a method for learning discriminative filters using a shallow Convolutional Neural Network (CNN).
Syntology lines on 4 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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