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This work presents an approach to detect small-scale methane emitters, specifically agricultural biodigesters, across large geographic regions from a limited number of annotations.
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Introduces a weakly supervised a-contrario validation process, based on high dimensional statistical modeling of deep features, to reduce the number of false alarms of any change detection algorithm.
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We propose to represent orientation as a structure tensor in Oriented Object Detection, bridging the gap between Gaussian-based and angle-coder solutions.
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We explore recent ideas on Open Vocabulary Detection to detect any object in remote sensing images with only a handful of examples.
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We address current limitations in flood detection and illustrate the importance of temporal information to solve the flood detection problem, extending the MMFlood dataset to multi-date.
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We review the classical video background subtraction algorithm ViBe, which is still widely due to its simplicity and low computational load. An interactive demo is provided to quickly run and visualize its results via an easy-to-use interface.
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A review of RobustNet, a Domain Generalization method for Urban-Scene Semantic Segmentation. Instead of exposing the network to a wide range of domains, RobustNet tries to separate domain-variant from domain-invariant features via a whitening transformation. A demo is provided to easily test RobustNet and see the results on your own data.