As we celebrate our 125th year, we do so with a renewed sense of purpose. Guided by our strategic vision and driven by our shared values, we are confident that we will rise to meet this moment and ...
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 ...
Abstract: To address the separation of mineral semantic segmentation and foreign object detection in coal mine conveyor belt detection, and the inability of traditional single-task models to balance ...
DetectAnyLLM is an AI-generated text detection (i.e., Machine-Generated Text Detection) model based on the Fast-DetectGPT framework, optimized using DDL (Direct Discrepancy Learning). DDL is a novel ...
Abstract: Salient object detection (SOD) for optical remote sensing images (RSIs) still faces inaccurate localization and sensitivity to edge variations. In this letter, we propose FGDiff, a framework ...
Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management hinges on early diagnosis, which is often impeded by non-specific symptoms and ...