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09/12/2023
Self-Training and Multi-Task Learning for Limited Data: Evaluation Study on Object Detection
Self-training allows a network to learn from the predictions of a more c...
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07/18/2023
Knowledge Distillation for Object Detection: from generic to remote sensing datasets
Knowledge distillation, a well-known model compression technique, is an ...
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06/08/2022
Learning Digital Terrain Models from Point Clouds: ALS2DTM Dataset and Rasterization-based GAN
Despite the popularity of deep neural networks in various domains, the e...
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04/14/2022
Detection of Degraded Acacia tree species using deep neural networks on uav drone imagery
Deep-learning-based image classification and object detection has been a...
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04/14/2022
CroCo: Cross-Modal Contrastive learning for localization of Earth Observation data
It is of interest to localize a ground-based LiDAR point cloud on remote...
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11/09/2020
EDEN: Multimodal Synthetic Dataset of Enclosed GarDEN Scenes
Multimodal large-scale datasets for outdoor scenes are mostly designed f...
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09/17/2020
Novel View Synthesis from Single Images via Point Cloud Transformation
In this paper the argument is made that for true novel view synthesis of...
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12/09/2019
ShadingNet: Image Intrinsics by Fine-Grained Shading Decomposition
In general, intrinsic image decomposition algorithms interpret shading a...
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12/18/2018
Improving Face Detection Performance with 3D-Rendered Synthetic Data
In this paper, we provide a synthetic data generator methodology with fu...
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12/05/2018
Unsupervised Generation of Optical Flow Datasets from Videos in the Wild
Dense optical flow ground truth of non-rigid motion for real-world image...
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07/31/2018
Joint Learning of Intrinsic Images and Semantic Segmentation
Semantic segmentation of outdoor scenes is problematic when there are va...
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07/19/2018
Three for one and one for three: Flow, Segmentation, and Surface Normals
Optical flow, semantic segmentation, and surface normals represent diffe...
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12/04/2017