2 citations · 2 across the 5 of their papers we have counts for
4 papers · 1 filter
JEDI: JEPA-to-Edge Distillation for Efficient Cropland Segmentation from Satellite Imagery
Kishor Kumar Bhaumik, Nicolas Roque dos Santos, Jia Chen +1
Large vision models provide useful representations for remote-sensing segmentation but are often too expensive for deployment at the satellite or field edge. Existing feature-level…
Source-Free Online Domain Adaptive Semantic Segmentation of Satellite Images under Image Degradation
Fahim Faisal Niloy, Kishor Kumar Bhaumik, Simon S. Woo
Online adaptation to distribution shifts in satellite image segmentation stands as a crucial yet underexplored problem. In this paper, we address source-free and online domain adap…
HRFNet: High-Resolution Forgery Network for Localizing Satellite Image Manipulation
Fahim Faisal Niloy, Kishor Kumar Bhaumik, Simon S. Woo
Existing high-resolution satellite image forgery localization methods rely on patch-based or downsampling-based training. Both of these training methods have major drawbacks, such…
CFL-Net: Image Forgery Localization Using Contrastive Learning
Fahim Faisal Niloy, Kishor Kumar Bhaumik, Simon S. Woo
Conventional forgery localizing methods usually rely on different forgery footprints such as JPEG artifacts, edge inconsistency, camera noise, etc., with cross-entropy loss to loca…