Abstract: Moving target detection in a disturbing environment has been significantly active and challenging for underwater acoustic array signal processing. One of the most effective approaches is ...
Abstract: Sparse Bayesian learning (SBL) is an advanced statistical framework that dominantly enhances the sparse features of targets of interest in radar imagery. A widely adopted strategy for ...
TensorRT Edge-LLM is NVIDIA's high-performance C++ inference runtime for Large Language Models (LLMs) and Vision-Language Models (VLMs) on embedded platforms. It enables efficient deployment of ...
Dual-Level Refinement (DLR) with CLIP for Few-Shot Learning. This project implements advanced multi-module fusion techniques for improving CLIP performance on few-shot learning tasks through ...
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