Papers Scene Classification
“Scene Classification” 태그가 달린 논문 497편 · 필터 해제
Deep Clustering of Remote Sensing Scenes through Heterogeneous Transfer Learning
This paper proposes a method for unsupervised whole-image clustering of a target dataset of remote sensing scenes with no labels. The method consists of three main steps: (1) finetuning a pretrained deep neural network (…
ClusteringDeep ClusteringImage ClusteringScene Classification+3Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene Classification
Vision-Language Models for remote sensing have shown promising uses thanks to their extensive pretraining. However, their conventional usage in zero-shot scene classification methods still involves dividing large images …
Scene ClassificationTransductive Zero-Shot Classificationzero-shot-classificationZero-Shot LearningAudio Enhancement for Computer Audition -- An Iterative Training Paradigm Using Sample Importance
Neural network models for audio tasks, such as automatic speech recognition (ASR) and acoustic scene classification (ASC), are susceptible to noise contamination for real-life applications. To improve audio quality, an e…
Acoustic Scene ClassificationAutomatic Speech RecognitionAutomatic Speech Recognition (ASR)Emotion Recognition+4AI Foundation Models in Remote Sensing: A Survey
Artificial Intelligence (AI) technologies have profoundly transformed the field of remote sensing, revolutionizing data collection, processing, and analysis. Traditionally reliant on manual interpretation and task-specif…
Contrastive Learningobject-detectionObject DetectionScene Classification+2A New Lightweight Hybrid Graph Convolutional Neural Network -- CNN Scheme for Scene Classification using Object Detection Inference
Scene understanding plays an important role in several high-level computer vision applications, such as autonomous vehicles, intelligent video surveillance, or robotics. However, too few solutions have been proposed for …
Autonomous Vehiclesobject-detectionObject DetectionScene Classification+1Novel Artistic Scene-Centric Datasets for Effective Transfer Learning in Fragrant Spaces
Olfaction, often overlooked in cultural heritage studies, holds profound significance in shaping human experiences and identities. Examining historical depictions of olfactory scenes can offer valuable insights into the …
Scene ClassificationTransfer LearningGradient-Guided Multiscale Focal Attention Network for Remote Sensing Scene Classification
Remote sensing scene classification (RSSC) aims to understand and analyze the semantic information at the scene level with complex geographical properties. Despite the profound success of advanced deep models in automati…
Aerial Scene ClassificationRemote Sensing Image ClassificationScene ClassificationOnline Domain-Incremental Learning Approach to Classify Acoustic Scenes in All Locations
In this paper, we propose a method for online domain-incremental learning of acoustic scene classification from a sequence of different locations. Simply training a deep learning model on a sequence of different location…
Acoustic Scene ClassificationAllIncremental LearningScene ClassificationLow-Complexity Acoustic Scene Classification Using Parallel Attention-Convolution Network
This work is an improved system that we submitted to task 1 of DCASE2023 challenge. We propose a method of low-complexity acoustic scene classification by a parallel attention-convolution network which consists of four m…
Acoustic Scene ClassificationData AugmentationKnowledge DistillationScene ClassificationRS-Agent: Automating Remote Sensing Tasks through Intelligent Agent
The unprecedented advancements in Multimodal Large Language Models (MLLMs) have demonstrated strong potential in interacting with humans through both language and visual inputs to perform downstream tasks such as visual …
AI AgentDescriptiveInstruction FollowingLanguage Modeling+10Assessment of Sentinel-2 spatial and temporal coverage based on the scene classification layer
Since the launch of the Sentinel-2 (S2) satellites, many ML models have used the data for diverse applications. The scene classification layer (SCL) inside the S2 product provides rich information for training, such as f…
Scene ClassificationTime SeriesVWise: A novel benchmark for evaluating scene classification for vehicular applications
Current datasets for vehicular applications are mostly collected in North America or Europe. Models trained or evaluated on these datasets might suffer from geographical bias when deployed in other regions. Specifically,…
ClassificationScene ClassificationUnsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification
A continual learning (CL) model is desired for remote sensing image analysis because of varying camera parameters, spectral ranges, resolutions, etc. There exist some recent initiatives to develop CL techniques in this d…
Continual LearningScene ClassificationKolmogorov-Arnold Network for Satellite Image Classification in Remote Sensing
In this research, we propose the first approach for integrating the Kolmogorov-Arnold Network (KAN) with various pre-trained Convolutional Neural Network (CNN) models for remote sensing (RS) scene classification tasks us…
image-classificationImage ClassificationSatellite Image ClassificationScene ClassificationA Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification
The development of supervised deep learning-based methods for multi-label scene classification (MLC) is one of the prominent research directions in remote sensing (RS). Yet, collecting annotations for large RS image arch…
Data Augmentationimage-classificationImage ClassificationRemote Sensing Image Classification+1Data-Efficient Low-Complexity Acoustic Scene Classification in the DCASE 2024 Challenge
This article describes the Data-Efficient Low-Complexity Acoustic Scene Classification Task in the DCASE 2024 Challenge and the corresponding baseline system. The task setup is a continuation of previous editions (2022 a…
Acoustic Scene ClassificationScene ClassificationDual-Branch Network for Portrait Image Quality Assessment
Portrait images typically consist of a salient person against diverse backgrounds. With the development of mobile devices and image processing techniques, users can conveniently capture portrait images anytime and anywhe…
Face Image Quality AssessmentImage Quality AssessmentLearning-To-RankScene Classification+1Deep Space Separable Distillation for Lightweight Acoustic Scene Classification
Acoustic scene classification (ASC) is highly important in the real world. Recently, deep learning-based methods have been widely employed for acoustic scene classification. However, these methods are currently not light…
Acoustic Scene ClassificationClassificationDeep LearningScene ClassificationA Toolchain for Comprehensive Audio/Video Analysis Using Deep Learning Based Multimodal Approach (A use case of riot or violent context detection)
In this paper, we present a toolchain for a comprehensive audio/video analysis by leveraging deep learning based multimodal approach. To this end, different specific tasks of Speech to Text (S2T), Acoustic Scene Classifi…
Acoustic Scene ClassificationEvent DetectionImage Captioningobject-detection+4Visual and audio scene classification for detecting discrepancies in video: a baseline method and experimental protocol
This paper presents a baseline approach and an experimental protocol for a specific content verification problem: detecting discrepancies between the audio and video modalities in multimedia content. We first design and …
Scene Classification