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09/13/2023
Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit?
Convolutional networks and vision transformers have different forms of p...
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12/20/2022
Seafloor-Invariant Caustics Removal from Underwater Imagery
Mapping the seafloor with underwater imaging cameras is of significant i...
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08/21/2022
Objects Can Move: 3D Change Detection by Geometric Transformation Constistency
AR/VR applications and robots need to know when the scene has changed. A...
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08/06/2022
Transformer-based assignment decision network for multiple object tracking
Data association is a crucial component for any multiple object tracking...
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03/23/2022
What to Hide from Your Students: Attention-Guided Masked Image Modeling
Transformers and masked language modeling are quickly being adopted and ...
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06/09/2021
It Takes Two to Tango: Mixup for Deep Metric Learning
Metric learning involves learning a discriminative representation such t...
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04/03/2021
Evaluating Explainable Artificial Intelligence Methods for Multi-label Deep Learning Classification Tasks in Remote Sensing
Although deep neural networks hold the state-of-the-art in several remot...
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10/17/2019
Detecting Urban Changes with Recurrent Neural Networks from Multitemporal Sentinel-2 Data
The advent of multitemporal high resolution data, like the Copernicus S...
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02/27/2019
Shallow Water Bathymetry Mapping from UAV Imagery based on Machine Learning
The determination of accurate bathymetric information is a key element f...
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02/25/2017
