Say a person takes their French Bulldog, Bowser, to the dog park. Identifying Bowser as he plays among the other canines is ...
Astronomers have detected one of the darkest objects ever seen at a record cosmic distance—only with the assistance of ...
Abstract: A key issue of existing deep-learning-based object detection methods in remote sensing images is that they often struggle to differentiate the background and small object regions due to ...
“In the best-case scenario, when you adopt these new techniques, even on the same old data, it’s kind of like putting on ...
Abstract: Existing salient object detection methods for optical remote sensing images achieve superior results with high-resolution inputs but exhibit significant degradation in low-resolution ...
DEIMv2 is an evolution of the DEIM framework while leveraging the rich features from DINOv3. Our method is designed with various model sizes, from an ultra-light version up to S, M, L, and X, to be ...
Spiking Neural Networks (SNNs), inspired by neuroscience principles, have gained attention for their energy efficiency. However, directly trained SNNs lag behind Artificial Neural Networks (ANNs) in ...
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