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Negative Data Augmentation
Data augmentation is often used to enlarge datasets with synthetic sampl...
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Efficient Conditional Pre-training for Transfer Learning
Almost all the state-of-the-art neural networks for computer vision task...
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Geography-Aware Self-Supervised Learning
Contrastive learning methods have significantly narrowed the gap between...
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Efficient Poverty Mapping using Deep Reinforcement Learning
The combination of high-resolution satellite imagery and machine learnin...
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Generating Interpretable Poverty Maps using Object Detection in Satellite Images
Accurate local-level poverty measurement is an essential task for govern...
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SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On
Image-based virtual try-on for fashion has gained considerable attention...
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