no code implementations • 22 Nov 2023 • Rupa Kurinchi-Vendhan, Drew Gray, Elijah Cole
Coral reefs are vital for marine biodiversity, coastal protection, and supporting human livelihoods globally.
1 code implementation • NeurIPS 2023 • Christian Lange, Elijah Cole, Grant van Horn, Oisin Mac Aodha
Our results demonstrate that our method outperforms alternative active learning methods and approaches the performance of end-to-end trained models, even when only using a fraction of the data.
2 code implementations • 5 Jun 2023 • Elijah Cole, Grant van Horn, Christian Lange, Alexander Shepard, Patrick Leary, Pietro Perona, Scott Loarie, Oisin Mac Aodha
Estimating the geographical range of a species from sparse observations is a challenging and important geospatial prediction problem.
no code implementations • 24 May 2023 • Julio Arroyo, Pietro Perona, Elijah Cole
Annotating data for multi-label classification is prohibitively expensive because every category of interest must be confirmed to be present or absent.
no code implementations • 5 Jan 2023 • Elijah Cole, Suzanne Stathatos, Björn Lütjens, Tarun Sharma, Justin Kay, Jason Parham, Benjamin Kellenberger, Sara Beery
Computer vision can accelerate ecology research by automating the analysis of raw imagery from sensors like camera traps, drones, and satellites.
1 code implementation • 20 Jul 2022 • Elijah Cole, Kimberly Wilber, Grant van Horn, Xuan Yang, Marco Fornoni, Pietro Perona, Serge Belongie, Andrew Howard, Oisin Mac Aodha
Weakly supervised object localization (WSOL) aims to learn representations that encode object location using only image-level category labels.
no code implementations • 3 Jul 2021 • Sara Beery, Elijah Cole, Joseph Parker, Pietro Perona, Kevin Winner
How many species live there?
2 code implementations • CVPR 2021 • Elijah Cole, Oisin Mac Aodha, Titouan Lorieul, Pietro Perona, Dan Morris, Nebojsa Jojic
When the number of potential labels is large, human annotators find it difficult to mention all applicable labels for each training image.
no code implementations • CVPR 2022 • Elijah Cole, Xuan Yang, Kimberly Wilber, Oisin Mac Aodha, Serge Belongie
Recent self-supervised representation learning techniques have largely closed the gap between supervised and unsupervised learning on ImageNet classification.
no code implementations • 7 May 2021 • Sara Beery, Arushi Agarwal, Elijah Cole, Vighnesh Birodkar
The challenge is to classify species and count individual animals across sequences in the test cameras.
1 code implementation • CVPR 2021 • Grant van Horn, Elijah Cole, Sara Beery, Kimberly Wilber, Serge Belongie, Oisin Mac Aodha
In order to facilitate progress in this area we present two new natural world visual classification datasets, iNat2021 and NeWT.
no code implementations • 21 Apr 2020 • Sara Beery, Elijah Cole, Arvi Gjoka
Can we leverage data from other modalities, such as citizen science data and remote sensing data?
1 code implementation • 8 Apr 2020 • Elijah Cole, Benjamin Deneu, Titouan Lorieul, Maximilien Servajean, Christophe Botella, Dan Morris, Nebojsa Jojic, Pierre Bonnet, Alexis Joly
Understanding the geographic distribution of species is a key concern in conservation.
4 code implementations • ICCV 2019 • Oisin Mac Aodha, Elijah Cole, Pietro Perona
Appearance information alone is often not sufficient to accurately differentiate between fine-grained visual categories.