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Material Classification
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Electrolyzers-HSI: Close-Range Multi-Scene Hyperspectral Imaging Benchmark Dataset
TextureSAM: Towards a Texture Aware Foundation Model for Segmentation
RGB-to-Polarization Estimation: A New Task and Benchmark Study
Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models
Single-image Reflectance and Transmittance Estimation from Any Flatbed Scanner
First Lessons Learned of an Artificial Intelligence Robotic System for Autonomous Coarse Waste Recycling Using Multispectral Imaging-Based Methods
TexPro: Text-guided PBR Texturing with Procedural Material Modeling
A Deep Learning Approach for Pixel-level Material Classification via Hyperspectral Imaging
Object-Oriented Material Classification and 3D Clustering for Improved Semantic Perception and Mapping in Mobile Robots
Electromagnetic Property Sensing in ISAC with Multiple Base Stations: Algorithm, Pilot Design, and Performance Analysis
Towards Robust Ferrous Scrap Material Classification with Deep Learning and Conformal Prediction
Scalability in Building Component Data Annotation: Enhancing Facade Material Classification with Synthetic Data
Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training
Electromagnetic Property Sensing: A New Paradigm of Integrated Sensing and Communication
Material Classification of Recyclable Containers Using 60 GHz Radar
Space Object Identification and Classification from Hyperspectral Material Analysis
Making the Invisible Visible: Toward High-Quality Terahertz Tomographic Imaging via Physics-Guided Restoration
Thermal Spread Functions (TSF): Physics-guided Material Classification
One-shot recognition of any material anywhere using contrastive learning with physics-based rendering
Depth Contrast: Self-Supervised Pretraining on 3DPM Images for Mining Material Classification
Hyperspectral Image Reconstruction from Multispectral Images Using Non-Local Filtering
A Dense Material Segmentation Dataset for Indoor and Outdoor Scene Parsing
How well does CLIP understand texture?
Radar-based Materials Classification Using Deep Wavelet Scattering Transform: A Comparison of Centimeter vs. Millimeter Wave Units
Material Classification Using Active Temperature Controllable Robotic Gripper
Echo-Reconstruction: Audio-Augmented 3D Scene Reconstruction
Programmable Spectral Filter Arrays using Phase Spatial Light Modulator
Ground material classification for UAV-based photogrammetric 3D data A 2D-3D Hybrid Approach
Construction material classification on imbalanced datasets using Vision Transformer (ViT) architecture
Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classification
SimTreeLS: Simulating aerial and terrestrial laser scans of trees
Material Recognition for Automated Progress Monitoring using Deep Learning Methods
Roof material classification from aerial imagery
Visualizing key features in X-ray images of epoxy resins for improved material classification using singular value decomposition of deep learning features
Multimodal Material Classification for Robots using Spectroscopy and High Resolution Texture Imaging
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