1 citations · 1 across the 11 of their papers we have counts for
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DAC-Loop: Distillation-Aware Compression for Remote Sensing CNN
Rico Staedeli, Lorena Raichle, Konstantinos Tzevelekakis +2
While large-scale models achieve strong results in remote sensing scene classification, deploying them on edge devices remains difficult due to limited compute, memory, and energy…
WeightCLIP: Aligning Datasets and Models for Weight Space Learning
Aron Asefaw, Konstantinos Tzevelekakis, Damian Falk +2
Weight space learning aims to learn representations of neural network (NN) weights, enabling different downstream tasks. Existing approaches show promising performance, but lacking…
GeoSANE: Learning Geospatial Representations from Models, Not Data
Joelle Hanna, Damian Falk, Stella X. Yu +1
Recent advances in remote sensing have led to an increase in the number of available foundation models; each trained on different modalities, datasets, and objectives, yet capturin…