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We show that classification accuracy improves as an embodied agent can gather more evidence, and that it is able to learn about novel, previously unseen objects.
Feb 23, 2022
The results showed that a vision system trained by participants with embodied instructions clearly outperformed a system trained by naïve participants. The ...
The results showed that a vision system trained by participants with embodied instructions clearly outperformed a system trained by naïve participants. The ...
For example, Marintson [10] had a human pick up objects while a mobile sensor collected data; offline selection of possible bounding boxes then occurred.
The results showed that a vision system trained by participants with embodied instructions clearly outperformed a system trained by naive participants. The ...
May 12, 2022 · Our results show that visual statistics mimicking those of a toddler improve object recognition accuracy in both familiar and novel environments.
Missing: training | Show results with:training
Continuing to research on tool and object embodiment may allow for the development of more effective prosthetics for missing limbs. In any case, all these ...
Sep 15, 2022 · Convergingly, previous object identification studies had reported facilitative effects of motion on object identification and recognition.
Dec 6, 2016 · In this paper, we study the effects of attentional masking within pre-trained deep neural networks for the purpose of handling ambiguous scenes.
Oct 30, 2020 · Most object recognition networks need thousands, if not millions of input images to achieve desirable performance. However, Clay's “fast ...