Papers Material Classification
“Material Classification” 태그가 달린 논문 65편 · 필터 해제
ConViTac: Aligning Visual-Tactile Fusion with Contrastive Representations
Vision and touch are two fundamental sensory modalities for robots, offering complementary information that enhances perception and manipulation tasks. Previous research has attempted to jointly learn visual-tactile repr…
Contrastive LearningMaterial ClassificationRepresentation LearningElectrolyzers-HSI: Close-Range Multi-Scene Hyperspectral Imaging Benchmark Dataset
The global challenge of sustainable recycling demands automated, fast, and accurate, state-of-the-art (SOTA) material detection systems that act as a bedrock for a circular economy. Democratizing access to these cutting-…
Material ClassificationTextureSAM: Towards a Texture Aware Foundation Model for Segmentation
Segment Anything Models (SAM) have achieved remarkable success in object segmentation tasks across diverse datasets. However, these models are predominantly trained on large-scale semantic segmentation datasets, which in…
Material ClassificationObjectSegmentationSemantic SegmentationRGB-to-Polarization Estimation: A New Task and Benchmark Study
Polarization images provide rich physical information that is fundamentally absent from standard RGB images, benefiting a wide range of computer vision applications such as reflection separation and material classificati…
Material ClassificationLarge Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models
Determining the ideal architecture for deep learning models, such as the number of layers and neurons, is a difficult and resource-intensive process that frequently relies on human tuning or computationally costly optimi…
Deep LearningLanguage ModelingLanguage ModellingLarge Language Model+3Single-image Reflectance and Transmittance Estimation from Any Flatbed Scanner
Flatbed scanners have emerged as promising devices for high-resolution, single-image material capture. However, existing approaches assume very specific conditions, such as uniform diffuse illumination, which are only av…
BRDF estimationImage-to-Image TranslationIntrinsic Image DecompositionMaterial Classification+2First Lessons Learned of an Artificial Intelligence Robotic System for Autonomous Coarse Waste Recycling Using Multispectral Imaging-Based Methods
Current disposal facilities for coarse-grained waste perform manual sorting of materials with heavy machinery. Large quantities of recyclable materials are lost to coarse waste, so more effective sorting processes must b…
Material Classificationobject-detectionObject DetectionTexPro: Text-guided PBR Texturing with Procedural Material Modeling
In this paper, we present TexPro, a novel method for high-fidelity material generation for input 3D meshes given text prompts. Unlike existing text-conditioned texture generation methods that typically generate RGB textu…
Material ClassificationTexture SynthesisA Deep Learning Approach for Pixel-level Material Classification via Hyperspectral Imaging
Recent advancements in computer vision, particularly in detection, segmentation, and classification, have significantly impacted various domains. However, these advancements are tied to RGB-based systems, which are insuf…
Material ClassificationObject-Oriented Material Classification and 3D Clustering for Improved Semantic Perception and Mapping in Mobile Robots
Classification of different object surface material types can play a significant role in the decision-making algorithms for mobile robots and autonomous vehicles. RGB-based scene-level semantic segmentation has been well…
Autonomous VehiclesClassificationClusteringDecision Making+3Beyond Appearances: Material Segmentation with Embedded Spectral Information from RGB-D imagery
In the realm of computer vision material segmentation of natural scenes represents a challenge driven by the complex and diverse appearances of materials. Traditional approaches often rely on RGB images which can be dece…
Material ClassificationMaterial RecognitionMaterial SegmentationScene Understanding+1Electromagnetic Property Sensing in ISAC with Multiple Base Stations: Algorithm, Pilot Design, and Performance Analysis
Integrated sensing and communication (ISAC) has opened up numerous game-changing opportunities for future wireless systems. In this paper, we develop a novel scheme that utilizes orthogonal frequency division multiplexin…
Compressive SensingIntegrated sensing and communicationISACMaterial ClassificationTowards Robust Ferrous Scrap Material Classification with Deep Learning and Conformal Prediction
In the steel production domain, recycling ferrous scrap is essential for environmental and economic sustainability, as it reduces both energy consumption and greenhouse gas emissions. However, the classification of scrap…
ClassificationConformal PredictionExplainable artificial intelligenceExplainable Artificial Intelligence (XAI)+2Scalability in Building Component Data Annotation: Enhancing Facade Material Classification with Synthetic Data
Computer vision models trained on Google Street View images can create material cadastres. However, current approaches need manually annotated datasets that are difficult to obtain and often have class imbalance. To addr…
Material ClassificationMultimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training
The rapidly evolving field of robotics necessitates methods that can facilitate the fusion of multiple modalities. Specifically, when it comes to interacting with tangible objects, effectively combining visual and tactil…
Contrastive LearningMaterial ClassificationRepresentation LearningElectromagnetic Property Sensing: A New Paradigm of Integrated Sensing and Communication
Integrated sensing and communication (ISAC) has opened up numerous game-changing opportunities for future wireless systems. In this paper, we develop a novel scheme that utilizes orthogonal frequency division multiplexin…
Compressive SensingIntegrated sensing and communicationISACMaterial ClassificationMaterial Classification of Recyclable Containers Using 60 GHz Radar
Rather than sending used containers and materials to the landfill, recycling can help lower the human impact on the environment. However, manually sorting the mixture of incoming material can be both costly and potential…
Material ClassificationSpace Object Identification and Classification from Hyperspectral Material Analysis
This paper presents a data processing pipeline designed to extract information from the hyperspectral signature of unknown space objects. The methodology proposed in this paper determines the material composition of spac…
ClassificationMaterial ClassificationObjectMaking the Invisible Visible: Toward High-Quality Terahertz Tomographic Imaging via Physics-Guided Restoration
Terahertz (THz) tomographic imaging has recently attracted significant attention thanks to its non-invasive, non-destructive, non-ionizing, material-classification, and ultra-fast nature for object exploration and inspec…
Image RestorationMaterial ClassificationThermal Spread Functions (TSF): Physics-guided Material Classification
Robust and non-destructive material classification is a challenging but crucial first-step in numerous vision applications. We propose a physics-guided material classification framework that relies on thermal properties …
ClassificationMaterial ClassificationRobust classification