687 citations · 1.1k across the 33 of their papers we have counts for
4 papers · 1 filter
Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study
Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch +2
The development of semi-supervised learning techniques is essential to enhance the generalization capacities of machine learning algorithms. Indeed, raw image data are abundant whi…
Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection
Heng Zhang, Elisa Fromont, Sébastien Lefevre +1
Most deep learning object detectors are based on the anchor mechanism and resort to the Intersection over Union (IoU) between predefined anchor boxes and ground truth boxes to eval…
Multispectral Fusion for Object Detection with Cyclic Fuse-and-Refine Blocks
Heng Zhang, Elisa Fromont, Sébastien Lefevre +1
Multispectral images (e.g. visible and infrared) may be particularly useful when detecting objects with the same model in different environments (e.g. day/night outdoor scenes). To…
GeoGraph: Learning graph-based multi-view object detection with geometric cues end-to-end
Ahmed Samy Nassar, Stefano D'Aronco, Sébastien Lefèvre +1
In this paper we propose an end-to-end learnable approach that detects static urban objects from multiple views, re-identifies instances, and finally assigns a geographic position…