3 papers
cs.CV2023
Head-tail Loss: A simple function for Oriented Object Detection and Anchor-free models
Pau Gallés, Xi Chen
This paper presents a new loss function for the prediction of oriented bounding boxes, named head-tail-loss. The loss function consists in minimizing the distance between the predi…
cs.CV2023
Object Detection performance variation on compressed satellite image datasets with iquaflow
Pau Gallés, Katalin Takats, Javier Marin
A lot of work has been done to reach the best possible performance of predictive models on images. There are fewer studies about the resilience of these models when they are traine…
cs.CV2022
QMRNet: Quality Metric Regression for EO Image Quality Assessment and Super-Resolution
David Berga, Pau Gallés, Katalin Takáts +5
Latest advances in Super-Resolution (SR) have been tested with general purpose images such as faces, landscapes and objects, mainly unused for the task of super-resolving Earth Obs…