Abstract: We propose a Batch-Aware Active Learning (BAAL) framework to optimize the training of object detection models, reducing annotation costs while maintaining strong model performance. The ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Abstract: Underwater object detection using SONAR images is critical for marine conservation, environmental monitoring, waste management, and rescue operations. In this study, the authors apply ...

New benchmark shows top LLMs achieve only 29% pass rate on OpenTelemetry instrumentation, exposing the gap between ...

Department of Neurology, Xuzhou Central Hospital Affiliated to Southeast University, Xuzhou, China Introduction: Early diagnosis of neurodegenerative diseases remains a formidable challenge in modern ...

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 ...

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...

The RF-DETR Training Pipeline simplifies the process of fine-tuning RF-DETR (Real-time DEtection TRansformer) models for object detection tasks. It provides a user-friendly command-line interface (CLI ...

Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts 02215, ...

1 Shandong Facility Horticulture Bioengineering Research Center, Weifang University of Science and Technology, Weifang, China 2 Department of Computer Engineering, Dongseo University, Busan, Republic ...