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04/14/2023
Sub-meter resolution canopy height maps using self-supervised learning and a vision transformer trained on Aerial and GEDI Lidar
Vegetation structure mapping is critical for understanding the global ca...
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04/14/2022
Masked Siamese Networks for Label-Efficient Learning
We propose Masked Siamese Networks (MSN), a self-supervised learning fra...
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05/07/2021
ResMLP: Feedforward networks for image classification with data-efficient training
We present ResMLP, an architecture built entirely upon multi-layer perce...
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05/19/2019
Adaptive Attention Span in Transformers
We propose a novel self-attention mechanism that can learn its optimal a...
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05/03/2019
Leveraging Large-Scale Uncurated Data for Unsupervised Pre-training of Visual Features
Pre-training general-purpose visual features with convolutional neural n...
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07/15/2018
Deep Clustering for Unsupervised Learning of Visual Features
Clustering is a class of unsupervised learning methods that has been ext...
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07/18/2017
