Task-guided triplet selection via mutual information improves multi-annotation representation learning over static weighting on an aerial wildlife dataset.
Use of superordinate labels yields more robust and human-like visual representations in convolutional neural networks
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Task-Guided Multi-Annotation Triplet Learning for Remote Sensing Representations
Task-guided triplet selection via mutual information improves multi-annotation representation learning over static weighting on an aerial wildlife dataset.