3 papers
cs.LG2026
On Pitfalls of : Data Processing Inequality Perspective
Junhwa Song, Keumgang Cha, Junghoon Seo
The RemOve-And-Retrain (ROAR) benchmark is widely used to evaluate feature attribution methods, yet its validity remains underexplored from an information-theoretic perspective. We…
cs.CV2024
Pushing the Limits of Vision-Language Models in Remote Sensing without Human Annotations
Keumgang Cha, Donggeun Yu, Junghoon Seo
The prominence of generalized foundation models in vision-language integration has witnessed a surge, given their multifarious applications. Within the natural domain, the procurem…
cs.CV2024
A Billion-scale Foundation Model for Remote Sensing Images
Keumgang Cha, Junghoon Seo, Taekyung Lee
As the potential of foundation models in visual tasks has garnered significant attention, pretraining these models before downstream tasks has become a crucial step. The three key…