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A Feature-based Generalizable Prediction Model for Both Perceptual and Abstract Reasoning
We applied our model to a simplified Raven's Progressive Matrices task, previously designed for behavioral testing and neuroimaging in humans.
BU-CVKit: Extendable Computer Vision Framework for Species Independent Tracking and Analysis
A major bottleneck of interdisciplinary computer vision (CV) research is the lack of a framework that eases the reuse and abstraction of state-of-the-art CV models by CV and non-CV researchers alike.
Opportunities and Challenges from Using Animal Videos in Reinforcement Learning for Navigation
We investigate the use of animal videos (observations) to improve Reinforcement Learning (RL) efficiency and performance in navigation tasks with sparse rewards.
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