Does basic level in object recognition demonstrated a higher accuracy rate of response?
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The accuracy rate of response in object recognition varies across different levels of categorization. Studies have shown that the basic level in object recognition does not consistently demonstrate a higher accuracy rate compared to other levels. While some research suggests a temporal advantage of the basic level over the subordinate level , other studies challenge this notion, indicating that the superordinate level may have a stability advantage in visual object categorization tasks . Additionally, expert recognition at the subordinate level relies on internal object information, with crucial details being processed within a midrange of spatial frequencies . These findings collectively highlight the complexity of object recognition processes and the nuanced relationships between different levels of categorization in terms of accuracy rates.
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| Papers (5) | Insight |
|---|---|
47 Citations | Basic level object recognition showed lower accuracy rates, dropping to almost chance levels, compared to the superordinate level. The highest accuracy achieved at the basic level was 62%. |
12 Citations | Experts recognize objects at the subordinate level more accurately than novices, indicating that basic-level object recognition does not demonstrate a higher accuracy rate of response. |
11 Citations | No, basic level object recognition showed lower accuracy without high spatial frequencies, indicating reliance on higher frequencies and longer processing times compared to superordinate level. |
Open access•Posted Content 12 Nov 2015 | Yes, basic-level object categorization demonstrated a higher accuracy rate in object recognition, increasing the top-5 accuracy from 80.13% to 81.48% in the study. |
Open access•Posted Content | Yes, basic level categorization in object recognition showed an increased accuracy rate, from 80.13% to 82.14%, as demonstrated in the study using AlexNet on the ILSVRC 2012 dataset. |
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