Tiny object detection model based on competitive multi-layer neural network (TOD-CMLNN)

Author:

Chirgaiya SachinORCID,Rajavat Anand

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,Computer Vision and Pattern Recognition,Signal Processing,Computer Science (miscellaneous)

Reference52 articles.

1. YOLO v3-Tiny: Object Detection and Recognition using one stage improved model;Adarsh,2020

2. An evaluation of retinanet on indoor object detection for blind and visually impaired persons assistance navigation;Afif;Neural Processing Letters,2020

3. An IoT-enabled smart health care system for screening of COVID-19 with multi layers features fusion and selection;Ahmed;Computing,2022

4. STDnet-ST: Spatio-temporal ConvNet for small object detection;Bosquet;Pattern Recognition,2021

5. Automated aerial animal detection when spatial resolution conditions are varied;Brown;Computers and Electronics in Agriculture,2022

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2. Research on Object Detection Algorithm Based on Twin Attention and Adaptive Feature Fusion;2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE);2024-05-10

3. A Comprehensive Review on Underwater Object Detection Techniques;2024 International Conference on Computing and Data Science (ICCDS);2024-04-26

4. YOLO and Faster R-CNN Object Detection in Architecture, Engineering and Construction (AEC): Applications, Challenges, and Future Prospects;SSRN Electronic Journal;2023

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