Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Rock Hunting With Martian Machine Vision   The Mars Perseverance rover applies computer vision for navigation and hazard
avoidance. The challenge to do onboard object recognition highlights the need
for low-power, customized training, often including low-contrast backgrounds.
We investigate deep learning methods for the classification and detection of
Martian rocks. We report greater than 97% accuracy for binary classifications
(rock vs. rover). We fine-tune a detector to render geo-located bounding boxes
while counting rocks. For these models to run on microcontrollers, we shrink
and quantize the neural networks' weights and demonstrate a low-power rock
hunter with faster frame rates (1 frame per second) but lower accuracy (37%).

20
The categories of this paper are: acc-phys
32
The categories of this paper are: atom-ph
35
The categories of this paper are: mtrl-th
4
The categories of this paper are: cond-mat
31
The categories of this paper are: ao-sci
10
The categories of this paper are: q-bio
5
The categories of this paper are: gr-qc
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The categories of this paper are: nucl-ex
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The categories of this paper are: patt-sol
2
The categories of this paper are: math
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The categories of this paper are: eess
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The categories of this paper are: astro-ph
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The categories of this paper are: chao-dyn
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The categories of this paper are: hep-ex
9
The categories of this paper are: nlin
12
The categories of this paper are: nucl-th