Material Recognition

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

11 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

20 shown of 20 papers with code (65 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.

• Describing Textures in the Wild
  14 Nov 2013 14 repositories listed
  Patterns and textures are defining characteristics of many natural objects: a shirt can be striped, the wings of a butterfly can be veined, and the skin of an animal can be scaly.
• Deep TEN: Texture Encoding Network
  8 Dec 2016 12 repositories listed Syntology ran 0 of 4 samples · 4 unverified · 2 pointer-only (licence)
  The representation is orderless and therefore is particularly useful for material and texture recognition.
• A Dense Material Segmentation Dataset for Indoor and Outdoor Scene Parsing
  21 Jul 2022 2 repositories listed
  A key algorithm for understanding the world is material segmentation, which assigns a label (metal, glass, etc.)
• Fast classification of small X-ray diffraction datasets using data augmentation and deep neural networks
  17 May 2019 2 repositories listed
  We overcome the scarce data problem intrinsic to novel materials development by coupling a supervised machine learning approach with a model-agnostic, physics-informed data augmentation strategy using simulated data…
• Classification of Household Materials via Spectroscopy
  10 May 2018 2 repositories listed
  To explore this, we collected a dataset of spectral measurements from two commercially available spectrometers during which a robotic platform interacted with 50 flat material objects, and we show that a neural network…
• Shape and Texture Recognition in Large Vision-Language Models
  29 Mar 2025 1 repository listed
  The ability to identify shapes regardless of orientation, texture, or context, and to recognize textures independently of their associated objects, is essential for general visual understanding of the world.
• Chebyshev Attention Depth Permutation Texture Network with Latent Texture Attribute Loss
  1 Jan 2025 1 repository listed
  Despite recent advances in deep texture recognition, existing methods still lack representational diversity and struggle to capture and preserve discriminative cues across stages of representation hierarchies.
• Object-Oriented Material Classification and 3D Clustering for Improved Semantic Perception and Mapping in Mobile Robots
  8 Jul 2024 1 repository listed
  Classification of different object surface material types can play a significant role in the decision-making algorithms for mobile robots and autonomous vehicles.
• Beyond Appearances: Material Segmentation with Embedded Spectral Information from RGB-D imagery
  17 May 2024 1 repository listed
  In the realm of computer vision material segmentation of natural scenes represents a challenge driven by the complex and diverse appearances of materials.
• Learning Zero-Shot Material States Segmentation, by Implanting Natural Image Patterns in Synthetic Data
  5 Mar 2024 1 repository listed
  Visual recognition of materials and their states is essential for understanding the physical world, from identifying wet regions on surfaces or stains on fabrics to detecting infected areas on plants or minerals in…
• MateRobot: Material Recognition in Wearable Robotics for People with Visual Impairments
  28 Feb 2023 1 repository listed
  People with Visual Impairments (PVI) typically recognize objects through haptic perception.
• One-shot recognition of any material anywhere using contrastive learning with physics-based rendering
  1 Dec 2022 1 repository listed
  The synthetic images were rendered using giant collections of textures, objects, and environments generated by computer graphics artists.
• Encoding Spatial Distribution of Convolutional Features for Texture Representation
  1 Dec 2021 1 repository listed
  Existing convolutional neural networks (CNNs) often use global average pooling (GAP) to aggregate feature maps into a single representation.
• Texture-enhanced Light Field Super-resolution with Spatio-Angular Decomposition Kernels
  7 Nov 2021 1 repository listed
  Despite the recent progress in light field super-resolution (LFSR) achieved by convolutional neural networks, the correlation information of light field (LF) images has not been sufficiently studied and exploited due to…
• Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-Grained Recognition
  1 Jan 2021 1 repository listed
  Learning mid-level representation for fine-grained recognition is easily dominated by a limited number of highly discriminative patterns, degrading its robustness and generalization capability.
• Differential Viewpoints for Ground Terrain Material Recognition
  22 Sep 2020 1 repository listed Syntology ran 4 of 7 samples · 3 unverified
  A key concept is differential angular imaging, where small angular variations in image capture enables angular-gradient features for an enhanced appearance representation that improves recognition.
• Multimodal Material Classification for Robots using Spectroscopy and High Resolution Texture Imaging
  2 Apr 2020 1 repository listed
  Finally, we present how a robot can combine this high resolution local sensing with images from the robot's head-mounted camera to achieve accurate material classification over a scene of objects on a table.
• Deep Thermal Imaging: Proximate Material Type Recognition in the Wild through Deep Learning of Spatial Surface Temperature Patterns
  6 Mar 2018 1 repository listed
  We evaluated the performance of the system by training it to recognise 32 material types in both indoor and outdoor environments.
• Semi-Supervised Haptic Material Recognition for Robots using Generative Adversarial Networks
  10 Jul 2017 1 repository listed
  Our approach achieves state-of-the-art results and enables a robot to estimate the material class of household objects with ~90% accuracy when 92% of the training data are unlabeled.
• Deep Filter Banks for Texture Recognition and Segmentation
  1 Jun 2015 1 repository listed
  Research in texture recognition often concentrates on the problem of material recognition in uncluttered conditions, an assumption rarely met by applications.

Syntology lines on 2 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.