Generative Diffusion and Flow Models Provide Reusable Visual Representations Across Vision
A systematic review outlines how internal features of diffusion and flow-based generative models transfer effectively to visual perception, editing, and ...
A systematic review outlines how internal features of diffusion and flow-based generative models transfer effectively to visual perception, editing, and ...
An advanced street-level imagery and survey evaluation reveals that roadways occupy over 53 percent of Phuket's tourist zones while sidewalks ...
Agricultural engineers demonstrated that explainable artificial intelligence can guide the development of hybrid convolutional-transformer networks that improve grapevine component segmentation ...
Researchers developed DETS-Net, a dual-encoder deep learning model combining CNN and Transformer architectures to accurately extract mountainous terraced fields from ...
A deep learning semantic segmentation model accurately identifies plant columns and path regions in Lycium barbarum gardens during the non-fruiting ...
A focused review of 27 studies highlights the shift from traditional image processing to deep learning architectures for automated concrete ...
Agricultural engineers have developed a dual-branch neural network combining vision transformers, wavelet transforms, and Mamba state-space blocks to segment dormant ...
A comprehensive review of a decade of road scene parsing reveals that while drivable surface detection is well-solved, detecting road ...
A preprint study presents the first globally consistent rock glacier inventory, mapping 301,524 features across nineteen mountain regions using high-resolution ...
Researchers have engineered a lightweight mobile laser scanning system integrating simultaneous localization and mapping with deep learning semantic segmentation to ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine