Scene Classification
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Benchmarks
Places365-Standard
Most implemented
Spatial Information Considered Network for Scene Classification
Remote Sensing Image Scene Classification: Benchmark and State of the Art
RSMamba: Remote Sensing Image Classification with State Space Model
Vision-Language Models in Remote Sensing: Current Progress and Future Trends
Papers
AVSD-Scenes: A Dataset for Audio-Visual Description of Urban Scenes
Natural language descriptions can provide rich semantic representations of audio-visual urban scenes, yet datasets that jointly describe both auditory and visual information remain limited. In this paper, we introduce AV…
Cross-Modal RetrievalScene ClassificationSemi-Supervised Adaptation of Vision-Language Models for Image Classification
Vision-language models like CLIP have shown sig- nificant potential in handling natural images, yet their perfor- mance is often limited by the distinct characteristics of satellite imagery. While parameter-efficient ada…
Scene ClassificationImage ClassificationLabel-Decoupled Style Augmentation for Domain Generalization in Multi-Label Remote Sensing Scene Classification
Multi-label classification assigns several co-occurring labels to each aerial scene, yet deployed models often encounter data distributions different from their training. Feature-statistics augmentation such as MixStyle,…
Multi-Label ClassificationDomain GeneralizationScene ClassificationPromptable Concept Segmentation from Above: Evaluating SAM 3's Zero-Shot and One-Shot Capabilities in Remote Sensing
The deployment of large-scale foundation models, such as the Segment Anything Model 3 (SAM 3), promises a transition toward open-vocabulary, training-free computer vision. However, their capacity to generalize out-of-dis…
Instance SegmentationScene ClassificationObject DetectionTerraDiT-$Ω$: Unified Spatial Control for Satellite Image Synthesis with Any Geospatial Primitive
Generative models have achieved remarkable progress, yet applying them to satellite imagery remains challenging. Unlike natural imagery, satellite scenes are structured by spatially complex and semantically distinct geom…
Scene ClassificationData AugmentationObject DetectionMSNN-LINet: Cross-Modal Learning via Continuous Linear Integration
We present LINet (Linear Integration Network), a Multi-Stream Neural Network (MSNN) for RGB-D scene classification. Current multi-modal architectures treat feature fusion as a discrete, ad-hoc event: early fusion entangl…
Scene Classification