Reasonable object detection guided by knowledge of global context and category relationship

Author:

Ji HaoqinORCID,Ye KaiORCID,Wan QiORCID,Shen LinlinORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference62 articles.

1. Cascade r-cnn: Delving into high quality object detection;Cai,2018

2. Gcnet: Non-local networks meet squeeze-excitation networks and beyond;Cao,2019

3. End-to-end object detection with transformers;Carion,2020

4. Improving object detection with relation mining network;Chen,2020

5. Pix2seq: A language modeling framework for object detection;Chen,2021

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Adaptive graph reasoning network for object detection;Image and Vision Computing;2024-11

2. Cross-scale Dynamic Relation Network for Object Detection;PRICAI 2023: Trends in Artificial Intelligence;2023-11-10

3. Human–object interaction prediction in videos through gaze following;Computer Vision and Image Understanding;2023-08

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