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A New Similarity Space Tailored for Supervised Deep Metric Learning
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A systematic review on open-set segmentation
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AiRound and CV-BrCT: Novel Multiview Datasets for Scene Classification
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An overview on Meta-learning approaches for Few-shot Weakly-supervised Segmentation
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Conditional Reconstruction for Open-Set Semantic Segmentation
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Facing the Void: Overcoming Missing Data in Multi-View Imagery
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Integrating remote sensing and machine learning to detect turbidity anomalies in hydroelectric reservoirs
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Open Set Semantic Segmentation for Multitemporal Crop Recognition
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Outlier Exposure for Open Set Crop Recognition From Multitemporal Image Sequences
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Paving the Way for Automatic Mapping of Rural Roads in the Amazon Rainforest
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Seeing without Looking: Analysis Pipeline for Child Sexual Abuse Datasets
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Self-Supervised Learning for Seismic Image Segmentation From Few-Labeled Samples
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Water tank and swimming pool detection based on remote sensing and deep learning: Relationship with socioeconomic level and applications in dengue control
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Weakly Supervised Few-Shot Segmentation via Meta-Learning