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Towards better exploiting convolutional neural networks for remote sensing scene classification., , and . Pattern Recognit., (2017)NS-IL: Neuro-Symbolic Visual Question Answering Using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes., , and . IEEE Access, (2023)Towards Open-Set Semantic Segmentation of Aerial Images., , , and . CoRR, (2020)RECOD @ Placing Task of MediaEval 2016: A Ranking Fusion Approach for Geographic-Location Prediction of Multimedia Objects., , , , , , , , , and 1 other author(s). MediaEval, volume 1739 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)MTLSegFormer: Multi-task Learning with Transformers for Semantic Segmentation in Precision Agriculture., , , , , , and . CoRR, (2023)Do deep features generalize from everyday objects to remote sensing and aerial scenes domains?, , and . CVPR Workshops, page 44-51. IEEE Computer Society, (2015)Coffee Crop Recognition Using Multi-scale Convolutional Neural Networks., , and . CIARP, volume 9423 of Lecture Notes in Computer Science, page 67-74. Springer, (2015)Dynamic Multi-Scale Semantic Segmentation based on Dilated Convolutional Networks., , , , and . CoRR, (2018)Facing the Void: Overcoming Missing Data in Multi-View Imagery., , , and . CoRR, (2022)Fully convolutional open set segmentation., , , , and . Mach. Learn., 112 (5): 1733-1784 (May 2023)