A weakly supervised framework for abnormal behavior detection and localization in crowded scenes
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.11.087
Abstract: Abstract In this paper, a weakly supervised framework is proposed for Abnormal Behavior Detection and Localization (ABDL) in the scenes. First, the objects in the scene such as pedestrians, vehicles, etc. are detected using the… read more here.
Keywords: abnormal behavior; weakly supervised; framework; behavior detection ... See more keywords
A Self‐Supervised Framework for Refined Reconstruction of Geophysical Fields via Domain Adaptation
Sign Up to like & getrecommendations! Published in 2024 at "Earth and Space Science"
DOI: 10.1029/2023ea003197
Abstract: Reconstructing fine‐grained, detailed spatial structures from time‐evolving coarse‐scale geophysical fields has been a long‐standing challenge. Current deep learning approaches addressing this issue generally require massive fine‐scale fields as supervision, which is often unavailable due to… read more here.
Keywords: self supervised; framework refined; supervised framework; reconstruction ... See more keywords
MediNet: Self-Supervised Framework for Multimodal Analysis and Patient Care in IoMT
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3614207
Abstract: Medical data analysis presents major challenges due to multimodal characteristics, real-time processing demands, and scalability constraints. Existing methods face limitations in managing data heterogeneity and generating timely outputs, which restrict their applicability in clinical environments.… read more here.
Keywords: multimodal analysis; self supervised; analysis; supervised framework ... See more keywords
S-BEVLoc: BEV-Based Self-Supervised Framework for Large-Scale LiDAR Global Localization
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2025.3595020
Abstract: LiDAR-based global localization is an essentialcomponent of simultaneous localization and mapping (SLAM), which helps loop closure and re-localization. Current approaches rely on ground-truth poses obtained from GPS or SLAM odometry to supervise network training. Despite… read more here.
Keywords: self supervised; supervised framework; lidar global; localization ... See more keywords
Neighbor2Neighbor: A Self-Supervised Framework for Deep Image Denoising
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3176533
Abstract: In recent years, image denoising has benefited a lot from deep neural networks. However, these models need large amounts of noisy-clean image pairs for supervision. Although there have been attempts in training denoising networks with… read more here.
Keywords: image denoising; self supervised; neighbor2neighbor; supervised framework ... See more keywords
Comparing Clustering Methods Applied to Tinnitus within a Bootstrapped and Diagnostic-Driven Semi-Supervised Framework
Sign Up to like & getrecommendations! Published in 2023 at "Brain Sciences"
DOI: 10.3390/brainsci13040572
Abstract: The understanding of tinnitus has always been elusive and is largely prevented by its intrinsic heterogeneity. To address this issue, scientific research has aimed at defining stable and easily identifiable subphenotypes of tinnitus. This would… read more here.
Keywords: methods applied; clustering methods; semi supervised; tinnitus ... See more keywords