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01/13/2023
GOHSP: A Unified Framework of Graph and Optimization-based Heterogeneous Structured Pruning for Vision Transformer
The recently proposed Vision transformers (ViTs) have shown very impress...
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02/09/2021
Negative Data Augmentation
Data augmentation is often used to enlarge datasets with synthetic sampl...
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11/20/2020
Efficient Conditional Pre-training for Transfer Learning
Almost all the state-of-the-art neural networks for computer vision task...
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11/19/2020
Geography-Aware Self-Supervised Learning
Contrastive learning methods have significantly narrowed the gap between...
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06/15/2020
Predicting Livelihood Indicators from Crowdsourced Street Level Images
Major decisions from governments and other large organizations rely on m...
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06/07/2020
Efficient Poverty Mapping using Deep Reinforcement Learning
The combination of high-resolution satellite imagery and machine learnin...
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04/11/2020
Farmland Parcel Delineation Using Spatio-temporal Convolutional Networks
Farm parcel delineation provides cadastral data that is important in dev...
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03/01/2020
Learning When and Where to Zoom with Deep Reinforcement Learning
While high resolution images contain semantically more useful informatio...
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02/05/2020
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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12/14/2019
Cloud Removal in Satellite Images Using Spatiotemporal Generative Networks
Satellite images hold great promise for continuous environmental monitor...
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12/09/2019
Efficient Object Detection in Large Images using Deep Reinforcement Learning
Traditionally, an object detector is applied to every part of the scene ...
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05/07/2019
Learning to Interpret Satellite Images in Global Scale Using Wikipedia
Despite recent progress in computer vision, finegrained interpretation o...
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05/05/2019
Predicting Economic Development using Geolocated Wikipedia Articles
Progress on the UN Sustainable Development Goals (SDGs) is hampered by a...
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09/19/2018
Learning to Interpret Satellite Images Using Wikipedia
Despite recent progress in computer vision, fine-grained interpretation ...
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01/20/2018
EnKCF: Ensemble of Kernelized Correlation Filters for High-Speed Object Tracking
Computer vision technologies are very attractive for practical applicati...
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11/20/2017
Tracking in Aerial Hyperspectral Videos using Deep Kernelized Correlation Filters
Hyperspectral imaging holds enormous potential to improve the state-of-t...
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07/12/2017
