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NVIDIA
NeMo Retriever CACHED
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NVIDIA
NVIDIA
NeMo Retriever CACHED

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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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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Publisher
NVIDIA
NVIDIA
Latest Tag0.2.1
UpdatedDecember 30, 2024 UTC
Compressed Size10.65 GB
Multinode SupportNo
Multi-Arch SupportNo

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