publication . Conference object . 2018

Attention-Enhanced Sensorimotor Object Recognition

Spyridon Thermos; Georgios Th. Papadopulos; Petros Daras; Gerasimos Potamianos;
Open Access English
  • Published: 10 Oct 2018
  • Publisher: IEEE
Sensorimotor learning, namely the process of understanding the physical world by combining visual and motor information, has been recently investigated, achieving promising results for the task of 2D/3D object recognition. Following the recent trend in computer vision, powerful deep neural networks (NNs) have been used to model the “sensory” and “motor” information, namely the object appearance and affordance. However, the existing implementations cannot efficiently address the spatio-temporal nature of the human-object interaction. Inspired by recent work on attention-based learning, this paper introduces an attention-enhanced NN-based model that learns to sele...
Persistent Identifiers
free text keywords: Sensorimotor object recognition, attention mechanism, stream fusion, deep neural networks, Sensorimotor learning, Sensory system, Task analysis, Affordance, Physical interaction, Artificial intelligence, business.industry, business, Implementation, Pattern recognition, Feature extraction, Computer science, Cognitive neuroscience of visual object recognition
Funded by
EC| VRTogether
An end-to-end system for the production and delivery of photorealistic social immersive virtual reality experiences
  • Funder: European Commission (EC)
  • Project Code: 762111
  • Funding stream: H2020 | IA
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