We introduce VISOR, a new dataset of pixel annotations and a benchmark suite for
segmenting hands and active objects in egocentric video. VISOR annotates videos from …

In an effort to catalog insect biodiversity, we propose a new large dataset of hand-labelled
insect images, the BIOSCAN-1M Insect Dataset. Each record is taxonomically classified by …

Increasingly, natural history museum collections are being used to generate large‐scale
morphological datasets to address a range of macroecological and macroevolutionary …

Openable part detection is the task of detecting the openable parts of an object in a single-
view image, and predicting corresponding motion parameters. Prior work investigated the …

Continual learning in real-world scenarios is a major challenge. A general continual
learning model should have a constant memory size and no predefined task boundaries, as …

This paper presents the Holistic and Multi-Granular Surgical Scene Understanding of
Prostatectomies (GraSP) dataset, a curated benchmark that models surgical scene …

Modern vision models excel at general purpose downstream tasks. It is unclear, however,
how they may be used for personalized vision tasks, which are both fine-grained and data …

Openable part detection is the task of detecting the openable parts of an object in a single-
view image and predicting corresponding motion parameters. Prior work investigated the …

The body of research on classification of solar panel arrays from aerial imagery is
increasing, yet there are still not many public benchmark datasets. This paper introduces two …

Large comparative datasets of avian functional traits have been used to address a wide
range of questions in ecology and evolution. To date, this work has been constrained by the …