429 citations · 534 across the 3 of their papers we have counts for
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cs.CV2023★ 2 cited
The curse of language biases in remote sensing VQA: the role of spatial attributes, language diversity, and the need for clear evaluation
Christel Chappuis, Eliot Walt, Vincent Mendez +3
Remote sensing visual question answering (RSVQA) opens new opportunities for the use of overhead imagery by the general public, by enabling human-machine interaction with natural l…
cs.CV2023★ 10 cited
Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union
Zifu Wang, Maxim Berman, Amal Rannen-Triki +6
Semantic segmentation datasets often exhibit two types of imbalance: \textit{class imbalance}, where some classes appear more frequently than others and \textit{size imbalance}, wh…
cs.CV2016★ 429 cited
Dense semantic labeling of sub-decimeter resolution images with convolutional neural networks
Michele Volpi, Devis Tuia
Semantic labeling (or pixel-level land-cover classification) in ultra-high resolution imagery (< 10cm) requires statistical models able to learn high level concepts from spatial da…