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07/17/2023
Reflections from the Workshop on AI-Assisted Decision Making for Conservation
In this white paper, we synthesize key points made during presentations ...
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06/01/2023
MammalNet: A Large-scale Video Benchmark for Mammal Recognition and Behavior Understanding
Monitoring animal behavior can facilitate conservation efforts by provid...
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03/25/2023
Vision Models Can Be Efficiently Specialized via Few-Shot Task-Aware Compression
Recent vision architectures and self-supervised training methods enable ...
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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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07/19/2022
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting
We present the Caltech Fish Counting Dataset (CFC), a large-scale datase...
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12/09/2021
Extending the WILDS Benchmark for Unsupervised Adaptation
Machine learning systems deployed in the wild are often trained on a sou...
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10/25/2021
Seeing biodiversity: perspectives in machine learning for wildlife conservation
Data acquisition in animal ecology is rapidly accelerating due to inexpe...
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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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06/29/2021
ElephantBook: A Semi-Automated Human-in-the-Loop System for Elephant Re-Identification
African elephants are vital to their ecosystems, but their populations a...
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06/23/2021
Image-to-Image Translation of Synthetic Samples for Rare Classes
The natural world is long-tailed: rare classes are observed orders of ma...
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06/21/2021
Can poachers find animals from public camera trap images?
To protect the location of camera trap data containing sensitive, high-t...
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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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12/14/2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Distribution shifts can cause significant degradation in a broad range o...
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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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12/07/2019
Long Term Temporal Context for Per-Camera Object Detection
In static monitoring cameras, useful contextual information can stretch ...
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10/22/2019
A deep active learning system for species identification and counting in camera trap images
Biodiversity conservation depends on accurate, up-to-date information ab...
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07/15/2019
Efficient Pipeline for Camera Trap Image Review
Biologists all over the world use camera traps to monitor biodiversity a...
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07/15/2019
The iWildCam 2019 Challenge Dataset
Camera Traps (or Wild Cams) enable the automatic collection of large qua...
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04/11/2019
The iWildCam 2018 Challenge Dataset
Camera traps are a valuable tool for studying biodiversity, but research...
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04/11/2019
Synthetic Examples Improve Generalization for Rare Classes
The ability to detect and classify rare occurrences in images has import...
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07/13/2018