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Found 3 papers, 2 papers with code
Comparing Importance Sampling Based Methods for Mitigating the Effect of Class Imbalance
Specifically, we compare the effect of these techniques on the performance of two encoders on an impactful satellite imagery dataset, Planet's Amazon Rainforest dataset, in preparation for another work.
Improving Data-Efficient Fossil Segmentation via Model Editing
Using a Mask R-CNN to segment ancient reef fossils in rock sample images, we present a two-part paradigm to improve fossil segmentation with few labeled images: we first identify model weaknesses using image perturbations and then mitigate those weaknesses using model editing.
Leveraging Structure from Motion to Localize Inaccessible Bus Stops
Specifically, our method learns the locations of sidewalks in a given scene by applying a segmentation model and SfM to images from bus cameras during clear weather.
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