Boosting object detectors via strong-classification weak-localization pretraining in remote sensing imagery
Deep learning-based object detectors in remote sensing (RS) scenarios typically follow the
paradigm of pretraining and fine-tuning to alleviate the limitation of insufficient downstream …
paradigm of pretraining and fine-tuning to alleviate the limitation of insufficient downstream …
A Review: Remote Sensing Image Object Detection Algorithm Based on Deep Learning
C Bai, X Bai, K Wu - Electronics, 2023 - mdpi.com
Target detection in optical remote sensing images using deep-learning technologies has a
wide range of applications in urban building detection, road extraction, crop monitoring, and …
wide range of applications in urban building detection, road extraction, crop monitoring, and …
Pyramid masked image modeling for transformer-based aerial object detection
Two obstacles, the scarcity of annotated samples and the difficulty in preserving multi-scale
hierarchical representations, hinder the advancement of vision Transformer-based aerial …
hierarchical representations, hinder the advancement of vision Transformer-based aerial …
Pseudo-Siamese Teacher for Semi-Supervised Oriented Object Detection
Oriented object detection, which aims at detecting objects with orientation properties, shows
great potential for visual analysis in complex scenarios, such as aerial images. However, the …
great potential for visual analysis in complex scenarios, such as aerial images. However, the …