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Satellite imagery is being leveraged for many societally critical tasks across climate, economics, and public health.
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Consistent instance false positive improves fairness in face recognition
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Self-supervised learning of pretext-invariant representations
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Towards fairness in visual recognition: Effective strategies for bias mitigation
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Loco: Local contrastive representation learning
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Self-supervised contrastive learning for irrigation detection in satellite imagery
Agastya, C.; Ghebremusse, S.; Anderson, I.; Vahabi, H.; and Todeschini, A. 2021 · 2021
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Xu, X.; Huang, Y.; Shen, P.; Li, S.; Li, J.; Huang, F.; Li, Y.; and Cui, Z. 2021 · 2021
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Understanding and evaluating racial biases in image captioning
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Learning bias-invariant representation by cross-sample mutual information minimization
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Detecting Bias in the Presence of Spatial Autocorrelation
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Fair Contrastive Learning for Facial Attribute Classification
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Self-supervised pretraining improves self-supervised pretraining
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Fairness by “Where”: A Statistically-Robust and Model-Agnostic Bi-level Learning Framework
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Self-supervised learning of object parts for semantic segmentation
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Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers
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Change-aware sampling and contrastive learning for satellite images
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