Abstract: Semi-supervised Object Detection (SSOD) is a method that uses a small amount of labeled data and a large amount of unlabeled data to improve the performance of object detection. However, ...
SmartEraser is a object removal model built on the novel Masked-Region Guidance paradigm. SmartEraser outperforms existing methods by smartly identifying the target object to remove while effectively ...
Numerical simulations provide a mechanism that explains how celestial objects such as stars and galaxies can generate ordered, macroscopic magnetic fields. The mechanism arises from turbulence — ...
Abstract: Detecting small objects (e.g., those smaller than 20 × 20 pixels) in large-scale images remains a significant and challenging problem. Modern CNN-based detectors often struggle due to the ...
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