BFANet: Bidirectional feature aggregation network for efficient and accurate object detection-Reference-Cited by-同舟云学术

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BFANet: Bidirectional feature aggregation network for efficient and accurate object detection

Published:2024-05-17 Issue: Volume:13 Page:96-105
ISSN:
Container-title:2024 2nd International Conference on Intelligent Perception and Computer Vision (CIPCV)
language:
Short-container-title:

Author:

Xiao YuTing¹,u ZhanDong Li¹,Li HaiFang¹,Li Ke¹,Ding Nan¹

Affiliation:

1. The Xinjiang Normal University,School of Computer Science and Technology,Urumqi City,China

Funder

National Natural Science Foundation of China

Xinjiang Normal University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10623929/10623942/10624521.pdf?arnumber=10624521

Reference33 articles.

1. Hyperspectral image classification based on multi-scale residual network with attention mechanism;Y. Q;Remote. Sens.,2021

2. Coordinate attention for efficient mobile network design;Q. H

3. No more strided convolutions or pooling: A new cnn building block for low-resolution images and small objects;R. S;ECML/PKDD,2022

4. Feature pyramid networks for object detection;T.-Y. L

5. Cornernet: Detecting objects as paired keypoints;H. L;International Journal of Computer Vision,2018

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