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06/05/2023
Spatial Implicit Neural Representations for Global-Scale Species Mapping
Estimating the geographical range of a species from sparse observations ...
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05/24/2023
Understanding Label Bias in Single Positive Multi-Label Learning
Annotating data for multi-label classification is prohibitively expensiv...
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01/05/2023
Teaching Computer Vision for Ecology
Computer vision can accelerate ecology research by automating the analys...
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07/20/2022
On Label Granularity and Object Localization
Weakly supervised object localization (WSOL) aims to learn representatio...
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07/03/2021
Species Distribution Modeling for Machine Learning Practitioners: A Review
Conservation science depends on an accurate understanding of what's happ...
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06/17/2021
Multi-Label Learning from Single Positive Labels
Predicting all applicable labels for a given image is known as multi-lab...
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05/12/2021
When Does Contrastive Visual Representation Learning Work?
Recent self-supervised representation learning techniques have largely c...
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05/07/2021
The iWildCam 2021 Competition Dataset
Camera traps enable the automatic collection of large quantities of imag...
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03/30/2021
Benchmarking Representation Learning for Natural World Image Collections
Recent progress in self-supervised learning has resulted in models that ...
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04/21/2020
The iWildCam 2020 Competition Dataset
Camera traps enable the automatic collection of large quantities of imag...
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04/08/2020
The GeoLifeCLEF 2020 Dataset
Understanding the geographic distribution of species is a key concern in...
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06/12/2019
