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Found 6 papers, 2 papers with code
Source-Free Online Domain Adaptive Semantic Segmentation of Satellite Images under Image Degradation
In this paper, we address source-free and online domain adaptation, i. e., test-time adaptation (TTA), for satellite images, with the focus on mitigating distribution shifts caused by various forms of image degradation.
HRFNet: High-Resolution Forgery Network for Localizing Satellite Image Manipulation
Existing high-resolution satellite image forgery localization methods rely on patch-based or downsampling-based training.
STLGRU: Spatio-Temporal Lightweight Graph GRU for Traffic Flow Prediction
Specifically, our proposed STLGRU can effectively capture dynamic local and global spatial-temporal relations of traffic networks using memory-augmented attention and gating mechanisms in a continuously synchronized manner.
CFL-Net: Image Forgery Localization Using Contrastive Learning
A key assumption in underlying forged region localization is that there remains a difference of feature distribution between untampered and manipulated regions in each forged image sample, irrespective of the forgery type.
Variational Stacked Local Attention Networks for Diverse Video Captioning
However, growing model complexity for visual data encourages more explicit feature interaction for fine-grained information, which is currently absent in the video captioning domain.
Human Activity Recognition from Wearable Sensor Data Using Self-Attention
In this regard, the existing recurrent or convolutional or their hybrid models for activity recognition struggle to capture spatio-temporal context from the feature space of sensor reading sequence.
