Papers Scene Classification
“Scene Classification” 태그가 달린 논문 497편 · 필터 해제
Convex Class Model on Symmetric Positive Definite Manifolds
The effectiveness of Symmetric Positive Definite (SPD) manifold features has been proven in various computer vision tasks. However, due to the non-Euclidean geometry of these features, existing Euclidean machineries cann…
ClassificationGeneral ClassificationmodelObject Recognition+3Sample Dropout for Audio Scene Classification Using Multi-Scale Dense Connected Convolutional Neural Network
Acoustic scene classification is an intricate problem for a machine. As an emerging field of research, deep Convolutional Neural Networks (CNN) achieve convincing results. In this paper, we explore the use of multi-scale…
Acoustic Scene ClassificationClassificationData AugmentationGeneral Classification+1Recent advances and opportunities in scene classification of aerial images with deep models
Scene classification is a fundamental task in interpretation of remote sensing images, and has become an active research topic in remote sensing community due to its important role in a wide range of applications. Over t…
ClassificationDiversityGeneral ClassificationScene ClassificationAID++: An Updated Version of AID on Scene Classification
Aerial image scene classification is a fundamental problem for understanding high-resolution remote sensing images and has become an active research task in the field of remote sensing due to its important role in a wide…
Aerial Scene ClassificationClassificationDiversityGeneral Classification+1Mixup-Based Acoustic Scene Classification Using Multi-Channel Convolutional Neural Network
Audio scene classification, the problem of predicting class labels of audio scenes, has drawn lots of attention during the last several years. However, it remains challenging and falls short of accuracy and efficiency. R…
Acoustic Scene ClassificationClassificationGeneral ClassificationScene ClassificationAutomated Vision-based Bridge Component Extraction Using Multiscale Convolutional Neural Networks
Image data has a great potential of helping post-earthquake visual inspections of civil engineering structures due to the ease of data acquisition and the advantages in capturing visual information. A variety of techniqu…
ClassificationGeneral ClassificationScene ClassificationSuperpixelsVision-based Automated Bridge Component Recognition Integrated With High-level Scene Understanding
Image data has a great potential of helping conventional visual inspections of civil engineering structures due to the ease of data acquisition and the advantages in capturing visual information. A variety of techniques …
Scene ClassificationScene UnderstandingIndoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey
With the availability of low-cost and compact 2.5/3D visual sensing devices, computer vision community is experiencing a growing interest in visual scene understanding of indoor environments. This survey paper provides a…
3D Reconstructionobject-detectionObject DetectionPose Estimation+5HexaConv
The effectiveness of Convolutional Neural Networks stems in large part from their ability to exploit the translation invariance that is inherent in many learning problems. Recently, it was shown that CNNs can exploit oth…
Aerial Scene ClassificationScene ClassificationScenarios: A New Representation for Complex Scene Understanding
The ability for computational agents to reason about the high-level content of real world scene images is important for many applications. Existing attempts at addressing the problem of complex scene understanding lack r…
Image RetrievalObject RecognitionRetrievalScene Classification+1Exploring the significance of using perceptually relevant image decolorization method for scene classification
A color image contains luminance and chrominance components representing the intensity and color information respectively. The objective of the work presented in this paper is to show the significance of incorporating th…
ClassificationGeneral Classificationimage-classificationImage Classification+3Large-Scale 3D Scene Classification With Multi-View Volumetric CNN
We introduce a method to classify imagery using a convo- lutional neural network (CNN) on multi-view image pro- jections. The power of our method comes from using pro- jections of multiple images at multiple depth planes…
ClassificationGeneral Classificationimage-classificationImage Classification+1Exploring Models and Data for Remote Sensing Image Caption Generation
Inspired by recent development of artificial satellite, remote sensing images have attracted extensive attention. Recently, noticeable progress has been made in scene classification and target detection.However, it is st…
Caption GenerationImage-to-Text RetrievalScene ClassificationDeep Within-Class Covariance Analysis for Robust Audio Representation Learning
Convolutional Neural Networks (CNNs) can learn effective features, though have been shown to suffer from a performance drop when the distribution of the data changes from training to test data. In this paper we analyze t…
Acoustic Scene ClassificationClassificationGeneral ClassificationRepresentation Learning+1What is (missing or wrong) in the scene? A Hybrid Deep Boltzmann Machine For Contextualized Scene Modeling
Scene models allow robots to reason about what is in the scene, what else should be in it, and what should not be in it. In this paper, we propose a hybrid Boltzmann Machine (BM) for scene modeling where relations betwee…
General ClassificationScene ClassificationA Deep Incremental Boltzmann Machine for Modeling Context in Robots
Context is an essential capability for robots that are to be as adaptive as possible in challenging environments. Although there are many context modeling efforts, they assume a fixed structure and number of contexts. In…
General ClassificationScene ClassificationDeep Scene Image Classification With the MFAFVNet
The problem of transferring a deep convolutional network trained for object recognition to the task of scene image classification is considered. An embedded implementation of the recently proposed mixture of factor analy…
ClassificationGeneral Classificationimage-classificationImage Classification+2Hierarchical Metric Learning for Optical Remote Sensing Scene Categorization
We address the problem of scene classification from optical remote sensing (RS) images based on the paradigm of hierarchical metric learning. Ideally, supervised metric learning strategies learn a projection from a set o…
ClusteringMetric LearningScene ClassificationScene RecognitionSensing Urban Land-Use Patterns By Integrating Google Tensorflow And Scene-Classification Models
With the rapid progress of China's urbanization, research on the automatic detection of land-use patterns in Chinese cities is of substantial importance. Deep learning is an effective method to extract image features. To…
General ClassificationScene ClassificationTransfer LearningTraffic scene recognition based on deep cnn and vlad spatial pyramids
Traffic scene recognition is an important and challenging issue in Intelligent Transportation Systems (ITS). Recently, Convolutional Neural Network (CNN) models have achieved great success in many applications, including…
Region ProposalScene ClassificationScene Recognition