A HYBRID CNN-TRANSFORMER NETWORK FOR OBJECT DETECTION IN OPTICAL REMOTE SENSING IMAGES: INTEGRATING LOCAL AND GLOBAL FEATURE FUSION

A Hybrid CNN-Transformer Network for Object Detection in Optical Remote Sensing Images: Integrating Local and Global Feature Fusion

Remote sensing images (RSIs) object detection is important in natural disaster management, urban planning and resource exploration.However, due to the large differences between RSIs and natural images (NIs), most of the existing object detectors 36" Cooktop for NIs cannot be directly used to process RSIs.Most existing models based on convolutional

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