JEDI: JEPA-to-Edge Distillation for Efficient Cropland Segmentation from Satellite Imagery

arXiv:2609.07915 · cs.CV, cs.LG · Submitted 2026-09-07 · Read on arXiv

cs.CV, cs.LG

Submitted: 2026-09-07

Updated: 2026-09-07

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Distillation — 5× in this paper · explained in 2 episodes
• Alignment — 4× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Transformer — 1× in this paper · explained in 2 episodes
• Two-Stage Framework — 1× in this paper · explained in 2 episodes

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models