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cs.CV2026
Exploiting answer-invariant redundancies in satellite imagery for efficient VLM inference on edge
Ishani Janveja, Davis Zhang, Seoyul Oh +1
Onboard vision-language models could enable satellites to answer queries directly, but exhaustive tiled inference over high-resolution imagery is slow and energy-intensive. We iden…
cs.CV2024
S4: Self-Supervised Sensing Across the Spectrum
Jayanth Shenoy, Xingjian Davis Zhang, Shlok Mehrotra +4
Satellite image time series (SITS) segmentation is crucial for many applications like environmental monitoring, land cover mapping and agricultural crop type classification. Howeve…