Papers Scene Classification
“Scene Classification” 태그가 달린 논문 497편 · 필터 해제
Lightweight Remote Sensing Scene Classification on Edge Devices via Knowledge Distillation and Early-exit
As the development of lightweight deep learning algorithms, various deep neural network (DNN) models have been proposed for the remote sensing scene classification (RSSC) application. However, it is still challenging for…
Knowledge DistillationScene ClassificationDual-Stream Global-Local Feature Collaborative Representation Network for Scene Classification of Mining Area
Scene classification of mining areas provides accurate foundational data for geological environment monitoring and resource development planning. This study fuses multi-source data to construct a multi-modal mine land co…
Scene ClassificationImproving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks
Topological data analysis (TDA) is a relatively new field that is gaining rapid adoption due to its robustness and ability to effectively describe complex datasets by quantifying geometric information. In imaging context…
Scene ClassificationFeature EngineeringOn the Effectiveness of Methods and Metrics for Explainable AI in Remote Sensing Image Scene Classification
The development of explainable artificial intelligence (xAI) methods for scene classification problems has attracted great attention in remote sensing (RS). Most xAI methods and the related evaluation metrics in RS are i…
Scene ClassificationTowards Scalable and Generalizable Earth Observation Data Mining via Foundation Model Composition
Foundation models are rapidly transforming Earth Observation data mining by enabling generalizable and scalable solutions for key tasks such as scene classification and semantic segmentation. While most efforts in the ge…
Earth ObservationKnowledge DistillationScene ClassificationSemantic SegmentationA Challenge to Build Neuro-Symbolic Video Agents
Modern video understanding systems excel at tasks such as scene classification, object detection, and short video retrieval. However, as video analysis becomes increasingly central to real-world applications, there is a …
Scene ClassificationVideo RetrievalVideo UnderstandingEarthSynth: Generating Informative Earth Observation with Diffusion Models
Remote sensing image (RSI) interpretation typically faces challenges due to the scarcity of labeled data, which limits the performance of RSI interpretation tasks. To tackle this challenge, we propose EarthSynth, a diffu…
counterfactualDiversityEarth Observationobject-detection+3Energy efficiency analysis of Spiking Neural Networks for space applications
While the exponential growth of the space sector and new operative concepts ask for higher spacecraft autonomy, the development of AI-assisted space systems was so far hindered by the low availability of power and energy…
Scene ClassificationMinimizing Risk Through Minimizing Model-Data Interaction: A Protocol For Relying on Proxy Tasks When Designing Child Sexual Abuse Imagery Detection Models
The distribution of child sexual abuse imagery (CSAI) is an ever-growing concern of our modern world; children who suffered from this heinous crime are revictimized, and the growing amount of illegal imagery distributed …
Data InteractionScene ClassificationLow-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge
This paper presents the Low-Complexity Acoustic Scene Classification with Device Information Task of the DCASE 2025 Challenge and its baseline system. Continuing the focus on low-complexity models, data efficiency, and d…
Acoustic Scene ClassificationScene ClassificationTransfer LearningFrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing
In recent years, large-scale vision-language models (VLMs) like CLIP have gained attention for their zero-shot inference using instructional text prompts. While these models excel in general computer vision, their potent…
Domain GeneralizationPrompt LearningScene ClassificationFlexiMo: A Flexible Remote Sensing Foundation Model
The rapid expansion of multi-source satellite imagery drives innovation in Earth observation, opening unprecedented opportunities for Remote Sensing Foundation Models to harness diverse data. However, many existing model…
Cloud DetectionEarth ObservationLand Cover Classificationmodel+1Open-Vocabulary Semantic Segmentation with Uncertainty Alignment for Robotic Scene Understanding in Indoor Building Environments
The global rise in the number of people with physical disabilities, in part due to improvements in post-trauma survivorship and longevity, has amplified the demand for advanced assistive technologies to improve mobility …
NavigateOpen Vocabulary Semantic SegmentationOpen-Vocabulary Semantic SegmentationScene Classification+4Vanishing Depth: A Depth Adapter with Positional Depth Encoding for Generalized Image Encoders
Generalized metric depth understanding is critical for precise vision-guided robotics, which current state-of-the-art (SOTA) vision-encoders do not support. To address this, we propose Vanishing Depth, a self-supervised …
6D Pose Estimation using RGBDepth CompletionPose EstimationScene ClassificationWhat Time Tells Us? An Explorative Study of Time Awareness Learned from Static Images
Time becomes visible through illumination changes in what we see. Inspired by this, in this paper we explore the potential to learn time awareness from static images, trying to answer: what time tells us? To this end, we…
Contrastive LearningImage RetrievalScene ClassificationImproving Acoustic Scene Classification with City Features
Acoustic scene recordings are often collected from a diverse range of cities. Most existing acoustic scene classification (ASC) approaches focus on identifying common acoustic scene patterns across cities to enhance gene…
Acoustic Scene ClassificationClassificationKnowledge DistillationScene ClassificationOptimal Transport Adapter Tuning for Bridging Modality Gaps in Few-Shot Remote Sensing Scene Classification
Few-Shot Remote Sensing Scene Classification (FS-RSSC) presents the challenge of classifying remote sensing images with limited labeled samples. Existing methods typically emphasize single-modal feature learning, neglect…
Scene ClassificationGeoRSMLLM: A Multimodal Large Language Model for Vision-Language Tasks in Geoscience and Remote Sensing
The application of Vision-Language Models (VLMs) in remote sensing (RS) has demonstrated significant potential in traditional tasks such as scene classification, object detection, and image captioning. However, current m…
Change DetectionImage CaptioningLanguage ModelingLanguage Modelling+10Creating a Good Teacher for Knowledge Distillation in Acoustic Scene Classification
Knowledge Distillation (KD) is a widespread technique for compressing the knowledge of large models into more compact and efficient models. KD has proved to be highly effective in building well-performing low-complexity …
Acoustic Scene ClassificationKnowledge DistillationScene ClassificationMEET: A Million-Scale Dataset for Fine-Grained Geospatial Scene Classification with Zoom-Free Remote Sensing Imagery
Accurate fine-grained geospatial scene classification using remote sensing imagery is essential for a wide range of applications. However, existing approaches often rely on manually zooming remote sensing images at diffe…
ClassificationScene Classification