568 citations · 2.2k across the 54 of their papers we have counts for
7 papers · 1 filter
TallyQA: Answering Complex Counting Questions
Manoj Acharya, Kushal Kafle, Christopher Kanan
Most counting questions in visual question answering (VQA) datasets are simple and require no more than object detection. Here, we study algorithms for complex counting questions t…
Memory Efficient Experience Replay for Streaming Learning
Tyler L. Hayes, Nathan D. Cahill, Christopher Kanan
In supervised machine learning, an agent is typically trained once and then deployed. While this works well for static settings, robots often operate in changing environments and m…
Characterizing the Temporal Dynamics of Information in Visually Guided Predictive Control Using LSTM Recurrent Neural Networks
Kamran Binaee, Anna Starynska, Jeff B Pelz +2
Theories for visually guided action account for online control in the presence of reliable sources of visual information, and predictive control to compensate for visuomotor delay…
EarthMapper: A Tool Box for the Semantic Segmentation of Remote Sensing Imagery
Ronald Kemker, Utsav B. Gewali, Christopher Kanan
Deep learning continues to push state-of-the-art performance for the semantic segmentation of color (i.e., RGB) imagery; however, the lack of annotated data for many remote sensing…
Low-Shot Learning for the Semantic Segmentation of Remote Sensing Imagery
Ronald Kemker, Ryan Luu, Christopher Kanan
Recent advances in computer vision using deep learning with RGB imagery (e.g., object recognition and detection) have been made possible thanks to the development of large annotate…
Continual Lifelong Learning with Neural Networks: A Review
German I. Parisi, Ronald Kemker, Jose L. Part +2
Humans and animals have the ability to continually acquire, fine-tune, and transfer knowledge and skills throughout their lifespan. This ability, referred to as lifelong learning,…