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CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions
In the last few years, we have witnessed a renewed and fast-growing inte...
09/14/2020 ∙ by Vincenzo Lomonaco, et al. ∙
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IROS 2019 Lifelong Robotic Vision Challenge – Lifelong Object Recognition Report
This report summarizes IROS 2019-Lifelong Robotic Vision Competition (Li...
04/26/2020 ∙ by Qi She, et al. ∙
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Online Continual Learning on Sequences
Online continual learning (OCL) refers to the ability of a system to lea...
03/20/2020 ∙ by German I. Parisi, et al. ∙
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Human Action Recognition and Assessment via Deep Neural Network Self-Organization
The robust recognition and assessment of human actions are crucial in hu...
01/04/2020 ∙ by German I. Parisi, et al. ∙
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Rethinking Continual Learning for Autonomous Agents and Robots
Continual learning refers to the ability of a biological or artificial s...
07/02/2019 ∙ by German I. Parisi, et al. ∙
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A Personalized Affective Memory Neural Model for Improving Emotion Recognition
Recent models of emotion recognition strongly rely on supervised deep le...
04/23/2019 ∙ by Pablo Barros, et al. ∙
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On the role of neurogenesis in overcoming catastrophic forgetting
Lifelong learning capabilities are crucial for artificial autonomous age...
11/06/2018 ∙ by German I. Parisi, et al. ∙
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Assessing the Contribution of Semantic Congruency to Multisensory Integration and Conflict Resolution
The efficient integration of multisensory observations is a key property...
10/15/2018 ∙ by Di Fu, et al. ∙
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Multi-modal Feedback for Affordance-driven Interactive Reinforcement Learning
Interactive reinforcement learning (IRL) extends traditional reinforceme...
07/26/2018 ∙ by Francisco Cruz, et al. ∙
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Towards Modeling the Interaction of Spatial-Associative Neural Network Representations for Multisensory Perception
Our daily perceptual experience is driven by different neural mechanisms...
07/13/2018 ∙ by German I. Parisi, et al. ∙
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Lifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization
Humans excel at continually acquiring and fine-tuning knowledge over sus...
05/28/2018 ∙ by German I. Parisi, et al. ∙
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A Neurorobotic Experiment for Crossmodal Conflict Resolution in Complex Environments
Crossmodal conflict resolution is a crucial component of robot sensorimo...
02/28/2018 ∙ by German I. Parisi, et al. ∙
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Continual Lifelong Learning with Neural Networks: A Review
Humans and animals have the ability to continually acquire and fine-tune...
02/21/2018 ∙ by German I. Parisi, et al. ∙
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Closing the loop on multisensory interactions: A neural architecture for multisensory causal inference and recalibration
When the brain receives input from multiple sensory systems, it is faced...
02/19/2018 ∙ by Jonathan Tong, et al. ∙
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Expectation Learning for Adaptive Crossmodal Stimuli Association
The human brain is able to learn, generalize, and predict crossmodal sti...
01/23/2018 ∙ by Pablo Barros, et al. ∙
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An Incremental Self-Organizing Architecture for Sensorimotor Learning and Prediction
During visuomotor tasks, robots have to compensate for the temporal dela...
12/22/2017 ∙ by Luiza Mici, et al. ∙
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A self-organizing neural network architecture for learning human-object interactions
The visual recognition of transitive actions comprising human-object int...
10/05/2017 ∙ by Luiza Mici, et al. ∙
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