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NeMo Retriever CACHED

NeMo Retriever CACHED

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Description
CACHED (Context-Aware Chart Element Detection) is a state-of-the-art chart element detection model from University at Buffalo. It was published in Document Analysis and Recognition - ICDAR 2023 conference. The code is based on the MMDetection Framework.
Publisher
NVIDIA
Latest Tag
0.2.1
Modified
December 30, 2024
Compressed Size
10.65 GB
Multinode Support
No
Multi-Arch Support
No
0.2.1 (Latest) Security Scan Results
No results available.

CACHED: Context-Aware Chart Element Detection

CACHED (Context-Aware Chart Element Detection) is a state-of-the-art chart element detection model from University at Buffalo. It was published in Document Analysis and Recognition - ICDAR 2023 conference. The code is based on the MMDetection Framework.

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