Papers Texture Classification
“Texture Classification” 태그가 달린 논문 206편 · 필터 해제
Debiased Self-Training for Semi-Supervised Learning
Deep neural networks achieve remarkable performances on a wide range of tasks with the aid of large-scale labeled datasets. Yet these datasets are time-consuming and labor-exhaustive to obtain on realistic tasks. To miti…
Object RecognitionScene ClassificationSemi-Supervised Image ClassificationTexture ClassificationEncoding Spatial Distribution of Convolutional Features for Texture Representation
Existing convolutional neural networks (CNNs) often use global average pooling (GAP) to aggregate feature maps into a single representation. However, GAP cannot well characterize complex distributive patterns of spatial …
Material RecognitionRetrievalTexture ClassificationSegmentation of Lung Tumor from CT Images using Deep Supervision
Lung cancer is a leading cause of death in most countries of the world. Since prompt diagnosis of tumors can allow oncologists to discern their nature, type and the mode of treatment, tumor detection and segmentation fro…
SegmentationTexture ClassificationTumor SegmentationData-driven and Automatic Surface Texture Analysis Using Persistent Homology
Surface roughness plays an important role in analyzing engineering surfaces. It quantifies the surface topography and can be used to determine whether the resulting surface finish is acceptable or not. Nevertheless, whil…
Texture ClassificationTopological Data AnalysisVisGraphNet: a complex network interpretation of convolutional neural features
Here we propose and investigate the use of visibility graphs to model the feature map of a neural network. The model, initially devised for studies on complex networks, is employed here for the classification of texture …
ClassificationNetwork InterpretationTexture ClassificationFractal measures of image local features: an application to texture recognition
Here we propose a new method for the classification of texture images combining fractal measures (fractal dimension, multifractal spectrum and lacunarity) with local binary patterns. More specifically we compute the box …
ClassificationTexture ClassificationInference via Sparse Coding in a Hierarchical Vision Model
Sparse coding has been incorporated in models of the visual cortex for its computational advantages and connection to biology. But how the level of sparsity contributes to performance on visual tasks is not well understo…
image-classificationImage ClassificationSensitivityTexture ClassificationFusion of Complex Networks-based Global and Local Features for Texture Classification
To realize accurate texture classification, this article proposes a complex networks (CN)-based multi-feature fusion method to recognize texture images. Specifically, we propose two feature extractors to detect the globa…
Texture ClassificationMachine Learning Based Texture Analysis of Patella from X-Rays for Detecting Patellofemoral Osteoarthritis
Objective is to assess the ability of texture features for detecting radiographic patellofemoral osteoarthritis (PFOA) from knee lateral view radiographs. We used lateral view knee radiographs from MOST public use datase…
BIG-bench Machine LearningTexture ClassificationCN-LBP: Complex Networks-based Local Binary Patterns for Texture Classification
To overcome the limitations of original local binary patterns (LBP), this article proposes a new texture descriptor aided by complex networks (CN) and LBP, named CN-LBP. Specifically, we first abstract a texture image (T…
ClusteringTexture ClassificationA Lossless Intra Reference Block Recompression Scheme for Bandwidth Reduction in HEVC-IBC
The reference frame memory accesses in inter prediction result in high DRAM bandwidth requirement and power consumption. This problem is more intensive by the adoption of intra block copy (IBC), a new coding tool in the …
PredictionTexture ClassificationContinuous monitoring of plant sub-cellular structural changes for plant and crop diseases detection by use of Intelligent Laser Speckle Classification (AI) technique
The continuous online monitoring of early signs of plant and crop diseases, at their early stages before a potential spread, is of high importance and necessitates multi-disciplinary techniques. Within this study a propo…
Texture ClassificationUnsupervised Doppler Radar-Based Activity Recognition for e-Healthcare
Passive radio frequency (RF) sensing and monitoring of human daily activities in elderly care homes is an emerging topic. Micro-Doppler radars are an appealing solution considering their non-intrusiveness, deep penetrati…
Activity RecognitionTexture ClassificationTexture-aware Video Frame Interpolation
Temporal interpolation has the potential to be a powerful tool for video compression. Existing methods for frame interpolation do not discriminate between video textures and generally invoke a single general model capabl…
Texture ClassificationVideo CompressionVideo Frame InterpolationIdentifying the Origin of Finger Vein Samples Using Texture Descriptors
Identifying the origin of a sample image in biometric systems can be beneficial for data authentication in case of attacks against the system and for initiating sensor-specific processing pipelines in sensor-heterogeneou…
ClassificationGeneral ClassificationTexture ClassificationSmile and Laugh Expressions Detection Based on Local Minimum Key Points
In this paper, a smile and laugh facial expression is presented based on dimension reduction and description process of the key points. The paper has two main objectives; the first is to extract the local critical points…
Dimensionality ReductionTexture ClassificationExplainable Systematic Analysis for Synthetic Aperture Sonar Imagery
In this work, we present an in-depth and systematic analysis using tools such as local interpretable model-agnostic explanations (LIME) (arXiv:1602.04938) and divergence measures to analyze what changes lead to improveme…
ClassificationGeneral ClassificationSensitivityTexture ClassificationRiemannian information gradient methods for the parameter estimation of ECD: Some applications in image processing
Elliptically-contoured distributions (ECD) play a significant role, in computer vision, image processing, radar, and biomedical signal processing. Maximum likelihood. estimation (MLE) of ECD leads to a system of non-line…
Colorizationparameter estimationTexture ClassificationSpatio-temporal encoding improves neuromorphic tactile texture classification
With the increase in interest in deployment of robots in unstructured environments to work alongside humans, the development of human-like sense of touch for robots becomes important. In this work, we implement a multi-c…
ClassificationGeneral ClassificationTexture ClassificationEnhancing Haptic Distinguishability of Surface Materials with Boosting Technique
Discriminative features are crucial for several learning applications, such as object detection and classification. Neural networks are extensively used for extracting discriminative features of images and speech signals…
ClusteringGeneral Classificationobject-detectionObject Detection+1