Dec 31, 2021 · A new lightweight feature extraction network structure was obtained based on the backbone network of YOLOv5s object detection model by using neural ...

This repository is a collection of training-free neural architecture search methods developed by TinyML team, Data Analytics and Intelligence Lab, ...

In this paper, we propose a lightweight search strategy based on the particle swarm optimization algorithm and apply the searched network as backbone for object ...

To this end, we present a fast and memory saving NAS method for object detection networks, which is capable of discovering top-performing architectures within ...

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In this paper, we propose a lightweight search strategy based on the particle swarm optimization algorithm and apply the searched network as backbone for object ...

Jan 24, 2023 · Neural Architecture Search (NAS) is quickly becoming the go-to approach to optimize the structure of Deep Learning (DL) models for complex tasks ...

This work uses neural architecture search (NAS) as a tool to search the lightweight object detection network that meets the requirements of real scenes by ...

The architecture search for object detection performed by us was completely based on MSCOCO [16] datasets with- out any imagenet [8] pretraining. In Table 4 ...

This paper proposes a lightweight process based on a neural structure search and knowledge distillation using deep learning YOLOv8 as the baseline model.