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Learning Deep Structured Active Contours End-to-End., , , , , , and . CVPR, page 8877-8885. IEEE Computer Society, (2018)Correcting Misaligned Rural Building Annotations in Open Street Map Using Convolutional Neural Networks Evidence., , , , , and . IGARSS, page 1284-1287. IEEE, (2018)Land cover mapping at very high resolution with rotation equivariant CNNs: towards small yet accurate models., , , and . CoRR, (2018)Scale equivariance in CNNs with vector fields., , , and . CoRR, (2018)Zoom In, Zoom Out: Injecting Scale Invariance into Landuse Classification CNNs., , and . IGARSS, page 5240-5243. IEEE, (2019)Improving Maps from CNNs Trained with Sparse, Scribbled Ground Truths Using Fully Connected CRFs., , , and . IGARSS, page 2099-2102. IEEE, (2018)When a Few Clicks Make All the Difference: Improving Weakly-Supervised Wildlife Detection in UAV Images., , and . CVPR Workshops, page 0. Computer Vision Foundation / IEEE, (2019)A Semisupervised CRF Model for CNN-Based Semantic Segmentation With Sparse Ground Truth., , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)Detecting Animals in Repeated UAV Image Acquisitions by Matching CNN Activations with Optimal Transport., , , and . IGARSS, page 3643-3646. IEEE, (2018)Learning rotation invariant convolutional filters for texture classification., , and . ICPR, page 2012-2017. IEEE, (2016)