Papers Scene Classification
“Scene Classification” 태그가 달린 논문 497편 · 필터 해제
Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices
In this paper, we present a robust and low complexity system for Acoustic Scene Classification (ASC), the task of identifying the scene of an audio recording. We first construct an ASC baseline system in which a novel in…
Acoustic Scene ClassificationScene ClassificationA Squeeze-and-Excitation and Transformer based Cross-task System for Environmental Sound Recognition
Environmental sound recognition (ESR) is an emerging research topic in audio pattern recognition. Many tasks are presented to resort to computational models for ESR in real-life applications. However, current models are …
Acoustic Scene ClassificationData AugmentationScene ClassificationDeep Neural Decision Forest for Acoustic Scene Classification
Acoustic scene classification (ASC) aims to classify an audio clip based on the characteristic of the recording environment. In this regard, deep learning based approaches have emerged as a useful tool for ASC problems. …
Acoustic Scene ClassificationClassificationScene ClassificationA study on joint modeling and data augmentation of multi-modalities for audio-visual scene classification
In this paper, we propose two techniques, namely joint modeling and data augmentation, to improve system performances for audio-visual scene classification (AVSC). We employ pre-trained networks trained only on image dat…
Data AugmentationScene ClassificationFeature Transformation for Cross-domain Few-shot Remote Sensing Scene Classification
Effectively classifying remote sensing scenes is still a challenge due to the increasing spatial resolution of remote imaging and large variances between remote sensing images. Existing research has greatly improved the …
Cross-Domain Few-ShotScene ClassificationDebiased 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 ClassificationUniversal Adversarial Examples in Remote Sensing: Methodology and Benchmark
Deep neural networks have achieved great success in many important remote sensing tasks. Nevertheless, their vulnerability to adversarial examples should not be neglected. In this study, we systematically analyze the uni…
Adversarial AttackScene ClassificationSemantic SegmentationCELESTIAL: Classification Enabled via Labelless Embeddings with Self-supervised Telescope Image Analysis Learning
A common class of problems in remote sensing is scene classification, a fundamentally important task for natural hazards identification, geographic image retrieval, and environment monitoring. Recent developments in this…
Image RetrievalRetrievalScene ClassificationSelf-Supervised LearningAerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise Semantic Labeling
Given an aerial image, aerial scene parsing (ASP) targets to interpret the semantic structure of the image content, e.g., by assigning a semantic label to every pixel of the image. With the popularization of data-driven …
Aerial Scene ClassificationBenchmarkingClassificationMulti-Task Learning+2Convolutional Neural Networks Based Remote Sensing Scene Classification under Clear and Cloudy Environments
Remote sensing (RS) scene classification has wide ap- plications in the environmental monitoring and geological survey. In the real-world applications, the RS scene images taken by the satellite might have two scenarios:…
ClassificationScene ClassificationAcoustic scene classification using auditory datasets
The approach used not only challenges some of the fundamental mathematical techniques used so far in early experiments of the same trend but also introduces new scopes and new horizons for interesting results. The physic…
Acoustic Scene ClassificationClassificationData AugmentationScene ClassificationTask-Oriented Image Transmission for Scene Classification in Unmanned Aerial Systems
The vigorous developments of Internet of Things make it possible to extend its computing and storage capabilities to computing tasks in the aerial system with collaboration of cloud and edge, especially for artificial in…
ClassificationDeep Reinforcement LearningEdge-computingScene ClassificationAn Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene Classification
This paper presents a task of audio-visual scene classification (SC) where input videos are classified into one of five real-life crowded scenes: 'Riot', 'Noise-Street', 'Firework-Event', 'Music-Event', and 'Sport-Atmosp…
Deep LearningScene ClassificationOn The Effect Of Coding Artifacts On Acoustic Scene Classification
Previous DCASE challenges contributed to an increase in the performance of acoustic scene classification systems. State-of-the-art classifiers demand significant processing capabilities and memory which is challenging fo…
Acoustic Scene ClassificationAudio CompressionClassificationScene ClassificationRSBNet: One-Shot Neural Architecture Search for A Backbone Network in Remote Sensing Image Recognition
Recently, a massive number of deep learning based approaches have been successfully applied to various remote sensing image (RSI) recognition tasks. However, most existing advances of deep learning methods in the RSI fie…
Deep LearningLand Cover ClassificationNeural Architecture Searchobject-detection+2See More for Scene: Pairwise Consistency Learning for Scene Classification
Scene classification is a valuable classification subtask and has its own characteristics which still needs more in-depth studies. Basically, scene characteristics are distributed over the whole image, which cause the ne…
ClassificationScene ClassificationHealth Monitoring of Industrial machines using Scene-Aware Threshold Selection
This paper presents an autoencoder based unsupervised approach to identify anomaly in an industrial machine using sounds produced by the machine. The proposed framework is trained using log-melspectrogram representations…
Scene ClassificationDomain Generalization on Efficient Acoustic Scene Classification using Residual Normalization
It is a practical research topic how to deal with multi-device audio inputs by a single acoustic scene classification system with efficient design. In this work, we propose Residual Normalization, a novel feature normali…
Acoustic Scene ClassificationClassificationDomain GeneralizationKnowledge Distillation+3Remote Sensing Image Super-resolution and Object Detection: Benchmark and State of the Art
For the past two decades, there have been significant efforts to develop methods for object detection in Remote Sensing (RS) images. In most cases, the datasets for small object detection in remote sensing images are ina…
Generative Adversarial NetworkImage Super-ResolutionObjectobject-detection+4Do we still need ImageNet pre-training in remote sensing scene classification?
Due to the scarcity of labeled data, using supervised models pre-trained on ImageNet is a de facto standard in remote sensing scene classification. Recently, the availability of larger high resolution remote sensing (HRR…
ClassificationMulti-Label ClassificationScene ClassificationSelf-Supervised Learning