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The multi-frame homogeneous object association (MHA) framework is used to link high-confidence detections with existing tracklets.
Heterogeneous Graph Neural Networks (HGNNs) aim to embed rich structural and semantic information of heterogeneous graphs into low-dimensional node representations. While HGNNs extend the foundational ...
The high computational demands of large language models (LLMs) are limited by the lack of GPU hardware support for heterogeneous quantization, which mixes integers and floating points. To address this ...
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