Abstract: Domain adaptive object detection (DAOD) aims to develop a detector trained on labeled source domains to identify objects in unlabeled target domains. A primary challenge in DAOD is the ...
A common misconception in automated software testing is that the document object model (DOM) is still the best way to ...
JavaScript is a sprawling and ever-changing behemoth, and may be the single-most connective piece of web technology. From AI ...
I skipped adding the pad to the input image when resizing, which might affect the accuracy of the model if the input image has a different aspect ratio compared to the input size of the model. Always ...
RF-DETR is a real-time, transformer-based object detection model architecture developed by Roboflow and released under the Apache 2.0 license. RF-DETR is the first real-time model to exceed 60 AP on ...
Abstract: The unique imaging conditions of satellites introduce significant uncertainties in the structure and scale of ground objects, presenting a major challenge for optical remote sensing image ...
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