DeViT: Decomposing Vision Transformers for Collaborative Inference in Edge Devices

no code implementations • 10 Sep 2023 • Guanyu Xu, Zhiwei Hao, Yong Luo, Han Hu, Jianping An, Shiwen Mao

Our objective is to achieve fast and energy-efficient collaborative inference while maintaining comparable accuracy compared with large ViTs.

Collaborative Inference Knowledge Distillation

LGViT: Dynamic Early Exiting for Accelerating Vision Transformer

1 code implementation • 1 Aug 2023 • Guanyu Xu, Jiawei Hao, Li Shen, Han Hu, Yong Luo, Hui Lin, Jialie Shen

Recently, the efficient deployment and acceleration of powerful vision transformers (ViTs) on resource-limited edge devices for providing multimedia services have become attractive tasks.

Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning

1 code implementation • 24 May 2022 • Zhiwei Hao, Guanyu Xu, Yong Luo, Han Hu, Jianping An, Shiwen Mao

In this paper, we study the multi-agent collaborative inference scenario, where a single edge server coordinates the inference of multiple UEs.

Collaborative Inference Feature Compression

DeepTracks: Geopositioning Maritime Vehicles in Video Acquired from a Moving Platform

no code implementations • 2 Sep 2021 • Jianli Wei, Guanyu Xu, Alper Yilmaz

Geopositioning and tracking a moving boat at sea is a very challenging problem, requiring boat detection, matching and estimating its GPS location from imagery with no common features.

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