TGADHead: An efficient and accurate task-guided attention-decoupled head for single-stage object detection

Author:

Zuo FengyuanORCID,Liu JinhaiORCID,Chen ZhaolinORCID,Fu Mingrui,Wang LeiORCID

Funder

Fundamental Research Funds for the Central Universities

Shenyang Municipal Bureau of Science and Technology

National Natural Science Foundation of China

Liaoning Revitalization Talents Program

Northeastern University

Publisher

Elsevier BV

Reference78 articles.

1. Object detection binary classifiers methodology based on deep learning to identify small objects handled similarly: Application in video surveillance;Pĺȩrez-Hernĺćndez;Knowl.-Based Syst.,2020

2. FAML-RT: Feature alignment-based multi-level similarity metric learning network for a two-stage robust tracker;Nie;Inform. Sci.,2023

3. Joint-attention feature fusion network and dual-adaptive NMS for object detection;Ma;Knowl.-Based Syst.,2022

4. Scale-balanced real-time object detection with varying input-image resolution;Yan;IEEE Trans. Circuits Syst. Video Technol.,2023

5. Multi-view change point detection in dynamic networks;Xie;Inform. Sci.,2023

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