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Found 7 papers, 3 papers with code
MEDOE: A Multi-Expert Decoder and Output Ensemble Framework for Long-tailed Semantic Segmentation
The proposed two-sage framework comprises a multi-expert decoder (MED) and a multi-expert output ensemble (MOE).
SACANet: scene-aware class attention network for semantic segmentation of remote sensing images
In this paper, we integrate both scene-aware and class attentions to propose a scene-aware class attention network (SACANet) for semantic segmentation of remote sensing images.
STNet: Spatial and Temporal feature fusion network for change detection in remote sensing images
As an important task in remote sensing image analysis, remote sensing change detection (RSCD) aims to identify changes of interest in a region from spatially co-registered multi-temporal remote sensing images, so as to monitor the local development.
LoG-CAN: local-global Class-aware Network for semantic segmentation of remote sensing images
We present LoG-CAN, a multi-scale semantic segmentation network with a global class-aware (GCA) module and local class-aware (LCA) modules to remote sensing images.
Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues
It is a common practice for recent works in vision language cross-modal reasoning to adopt a binary or multi-choice classification formulation taking as input a set of source image(s) and textual query.
Urban Zoning Using Higher-Order Markov Random Fields on Multi-View Imagery Data
Urban zoning enables various applications in land use analysis and urban planning.
Learning Unit State Recognition Based on Multi-channel Data Fusion
Based on these data modalities, we propose a novel approach of multi-channel data fusion to explore the learning unit state recognition.
