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Found 8 papers, 4 papers with code
Diffsurv: Differentiable sorting for censored time-to-event data
Additionally, we demonstrate the benefits of the algorithmic supervision enabled by Diffsurv by presenting a novel method for top-k risk prediction that outperforms current methods.
The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions
Multi-agent behavior modeling aims to understand the interactions that occur between agents.
Individuality in the hive - Learning to embed lifetime social behaviour of honey bees
Honey bees are a popular model for complex social systems, in which global behavior emerges from the actions and interactions of thousands of individuals.
BioTracker: An Open-Source Computer Vision Framework for Visual Animal Tracking
Here we introduce BioTracker, an open-source computer vision framework, that provides programmers with core functionalities that are essential parts of a tracking software, such as video I/O, graphics overlays and mouse and keyboard interfaces.
Automatic localization and decoding of honeybee markers using deep convolutional neural networks
Tracking and identifying all bees in the colony over their lifetimes therefore may likely shed light on the interplay of individual differences and colony behavior.
Tracking all members of a honey bee colony over their lifetime
Computational approaches to the analysis of collective behavior in social insects increasingly rely on motion paths as an intermediate data layer from which one can infer individual behaviors or social interactions.
Automatic detection and decoding of honey bee waggle dances
In this paper, we describe our recording setup, the image processing steps performed for dance detection and decoding and an algorithm to map dances to the field.
RenderGAN: Generating Realistic Labeled Data
Deep Convolutional Neuronal Networks (DCNNs) are showing remarkable performance on many computer vision tasks.
