RetinaNet and Vision Transformer-Based Model for Wheat Head Detection

Author:

Sunitha Gurram1,Sudeepthi Adluru2,Sreedhar Balija2,Shaik Abdul Bari2,Farooq C.3

Affiliation:

1. School of Computing, Mohan Babu University,Department of AI & ML,Tirupati,India

2. Sree Vidyanikethan Engineering College,Department of CSE,Tirupati,India

3. UG Scholar, Department of CSE, Sree Vidyanikethan Engineering College, Tirupati, India

Publisher

IEEE

Reference20 articles.

1. End-to-End Temporal Action Detection With Transformer

2. End-to-end object detection with transformers;carion;Computer Vision-ECCV 2020 16th European Conference,2020

3. A Survey of Self-Supervised and Few-Shot Object Detection

4. Deformable detr: Deformable transformers for end-to-end object detection;zhu;ArXiv Preprint,2020

5. Global Wheat Head Detection (GWHD) Dataset: A Large and Diverse Dataset of High-Resolution RGB-Labelled Images to Develop and Benchmark Wheat Head Detection Methods

Cited by 1 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. Review on Application of Vision Transformers in IoT Edge Devices for Plant Sensor Measurement Forecasting;2024 IEEE 11th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE);2024-05-31

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