Papers Scene Classification
“Scene Classification” 태그가 달린 논문 497편 · 필터 해제
ACGAN-based Data Augmentation Integrated with Long-term Scalogram for Acoustic Scene Classification
In acoustic scene classification (ASC), acoustic features play a crucial role in the extraction of scene information, which can be stored over different time scales. Moreover, the limited size of the dataset may lead to …
Acoustic Scene ClassificationData AugmentationScene ClassificationSpatial Information Considered Network for Scene Classification
Remote sensing image (RSI) scene classification is a fundamental problem for understanding high-resolution RSIs. More recently, deep learning methods, especially convolutional neural networks (CNNs), and large datasets h…
ClassificationDiversityGeneral ClassificationScene ClassificationRemote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities
Remote sensing image scene classification, which aims at labeling remote sensing images with a set of semantic categories based on their contents, has broad applications in a range of fields. Propelled by the powerful fe…
ClassificationDeep LearningGeneral ClassificationGenerative Adversarial Network+2Unsupervised Domain Adaptation for Acoustic Scene Classification Using Band-Wise Statistics Matching
The performance of machine learning algorithms is known to be negatively affected by possible mismatches between training (source) and test (target) data distributions. In fact, this problem emerges whenever an acoustic …
Acoustic Scene ClassificationDomain Adaptationdomain classificationGeneral Classification+2Acoustic Scene Classification using Audio Tagging
Acoustic scene classification systems using deep neural networks classify given recordings into pre-defined classes. In this study, we propose a novel scheme for acoustic scene classification which adopts an audio taggin…
Acoustic Scene ClassificationAudio TaggingClassificationScene Classification+1Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene Classification
Recognising remote sensing scene images remains challenging due to large visual-semantic discrepancies. These mainly arise due to the lack of detailed annotations that can be employed to align pixel-level representations…
ClassificationGeneral ClassificationGPUScene ClassificationAcoustic Scene Classification with Squeeze-Excitation Residual Networks
Acoustic scene classification (ASC) is a problem related to the field of machine listening whose objective is to classify/tag an audio clip in a predefined label describing a scene location (e. g. park, airport, etc.). M…
Acoustic Scene ClassificationClassificationData AugmentationGeneral Classification+2A multiple-instance densely-connected ConvNet for aerial scene classification
In contrast with nature scenes, aerial scenes are often composed of many objects crowdedly distributed on the surface in bird’s view, the description of which usually demands more discriminative features as well as local…
Aerial Scene ClassificationClassificationImage ClassificationMultiple Instance Learning+2DEEVA: A Deep Learning and IoT Based Computer Vision System to Address Safety and Security of Production Sites in Energy Industry
When it comes to addressing the safety/security related needs at different production/construction sites, accurate detection of the presence of workers, vehicles, equipment important and formed an integral part of comput…
Decision Makingobject-detectionObject DetectionScene Classification+2Acoustic Scene Classification Using Bilinear Pooling on Time-liked and Frequency-liked Convolution Neural Network
The current methodology in tackling Acoustic Scene Classification (ASC) task can be described in two steps, preprocessing of the audio waveform into log-mel spectrogram and then using it as the input representation for C…
Acoustic Scene ClassificationGeneral ClassificationInformation RetrievalMusic Information Retrieval+2Vision-based Fight Detection from Surveillance Cameras
Vision-based action recognition is one of the most challenging research topics of computer vision and pattern recognition. A specific application of it, namely, detecting fights from surveillance cameras in public areas,…
Action RecognitionScene ClassificationConvolution Neural Network Architecture Learning for Remote Sensing Scene Classification
Remote sensing image scene classification is a fundamental but challenging task in understanding remote sensing images. Recently, deep learning-based methods, especially convolutional neural network-based (CNN-based) met…
ClassificationGeneral ClassificationScene ClassificationBigEarthNet Dataset with A New Class-Nomenclature for Remote Sensing Image Understanding
This paper presents BigEarthNet that is a large-scale Sentinel-2 multispectral image dataset with a new class nomenclature to advance deep learning (DL) studies in remote sensing (RS). BigEarthNet is made up of 590,326 i…
Content-Based Image RetrievalImage RetrievalMulti-Label ClassificationMUlTI-LABEL-ClASSIFICATION+1Contextual Sense Making by Fusing Scene Classification, Detections, and Events in Full Motion Video
With the proliferation of imaging sensors, the volume of multi-modal imagery far exceeds the ability of human analysts to adequately consume and exploit it. Full motion video (FMV) possesses the extra challenge of contai…
Event DetectionGeneral ClassificationObjectScene ClassificationMulti-Scale Weight Sharing Network for Image Recognition
In this paper, we explore the idea of weight sharing over multiple scales in convolutional networks. Inspired by traditional computer vision approaches, we share the weights of convolution kernels over different scales i…
Object RecognitionScene ClassificationTransfer LearningNeural Architecture Search on Acoustic Scene Classification
Convolutional neural networks are widely adopted in Acoustic Scene Classification (ASC) tasks, but they generally carry a heavy computational burden. In this work, we propose a lightweight yet high-performing baseline ne…
Acoustic Scene ClassificationClassificationGeneral ClassificationNeural Architecture Search+1Environmental Sound Classification with Parallel Temporal-spectral Attention
Convolutional neural networks (CNN) are one of the best-performing neural network architectures for environmental sound classification (ESC). Recently, temporal attention mechanisms have been used in CNN to capture the u…
Acoustic Scene ClassificationAudio ClassificationClassificationEnvironmental Sound Classification+3Deliberative Explanations: visualizing network insecurities
A new approach to explainable AI, denoted {\it deliberative explanations,\/} is proposed. Deliberative explanations are a visualization technique that aims to go beyond the simple visualization of the image regions …
AttributeObject RecognitionScene ClassificationA Discriminative Learned CNN Embedding for Remote Sensing Image Scene Classification
In this work, a discriminatively learned CNN embedding is proposed for remote sensing image scene classification. Our proposed siamese network simultaneously computes the classification loss function and the metric learn…
ClassificationGeneral ClassificationMetric LearningScene ClassificationIn-domain representation learning for remote sensing
Given the importance of remote sensing, surprisingly little attention has been paid to it by the representation learning community. To address it and to establish baselines and a common evaluation protocol in this domain…
Image ClassificationMulti-Label Image ClassificationRepresentation LearningScene Classification