research
∙
06/05/2023
Spatial Implicit Neural Representations for Global-Scale Species Mapping
Estimating the geographical range of a species from sparse observations ...
share
research
∙
07/21/2022
Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset
We present a new benchmark dataset, Sapsucker Woods 60 (SSW60), for adva...
research
∙
07/20/2022
On Label Granularity and Object Localization
Weakly supervised object localization (WSOL) aims to learn representatio...
research
∙
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...
research
∙
10/25/2021
Seeing biodiversity: perspectives in machine learning for wildlife conservation
Data acquisition in animal ecology is rapidly accelerating due to inexpe...
research
∙
03/30/2021
Benchmarking Representation Learning for Natural World Image Collections
Recent progress in self-supervised learning has resulted in models that ...
research
∙
04/11/2019
The iWildCam 2018 Challenge Dataset
Camera traps are a valuable tool for studying biodiversity, but research...
research
∙
07/13/2018
Recognition in Terra Incognita
It is desirable for detection and classification algorithms to generaliz...
research
∙
09/05/2017
The Devil is in the Tails: Fine-grained Classification in the Wild
The world is long-tailed. What does this mean for computer vision and vi...
research
∙
07/20/2017
The iNaturalist Challenge 2017 Dataset
Existing image classification datasets used in computer vision tend to h...
research
∙
06/11/2014