A DeNoising FPN With Transformer R-CNN for Tiny Object Detection
Published in IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (IEEE TGRS), 2024
We propose DNTR, a novel framework for tiny object detection that combines a DeNoising Feature Pyramid Network with a Transformer-based R-CNN detector.
Recommended citation: Hou-I. Liu, Yu-Wen Tseng, Kai-Cheng Chang, Pin-Jyun Wang, Hong-Han Shuai, and Wen-Huang Cheng. "A denoising fpn with transformer r-cnn for tiny object detection." IEEE Transactions on Geoscience and Remote Sensing (2024).
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