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cs.CV2024
Comparing Importance Sampling Based Methods for Mitigating the Effect of Class Imbalance
Indu Panigrahi, Richard Zhu
Most state-of-the-art computer vision models heavily depend on data. However, many datasets exhibit extreme class imbalance which has been shown to negatively impact model performa…
cs.CV2022
Leveraging Structure from Motion to Localize Inaccessible Bus Stops
Indu Panigrahi, Tom Bu, Christoph Mertz
The detection of hazardous conditions near public transit stations is necessary for ensuring the safety and accessibility of public transit. Smart city infrastructures aim to facil…
cs.CV2022★ 1 cited
Improving Data-Efficient Fossil Segmentation via Model Editing
Indu Panigrahi, Ryan Manzuk, Adam Maloof +1
Most computer vision research focuses on datasets containing thousands of images of commonplace objects. However, many high-impact datasets, such as those in medicine and the geosc…