RetinaNet
PulseAugur coverage of RetinaNet — every cluster mentioning RetinaNet across labs, papers, and developer communities, ranked by signal.
4 day(s) with sentiment data
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Survey paper analyzes one-stage object detectors for autonomous driving
A new survey paper provides a comprehensive analysis of one-stage object detectors crucial for autonomous driving systems. It traces the evolution of these detectors, from early models like YOLOv1 and SSD to more recent…
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Deep learning model advances utility pole and sign detection
Researchers have developed a deep learning framework for detecting, segmenting, and estimating the lean angle of utility poles, as well as classifying attached warning signs. The system, based on a modified Detection Tr…
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Pathology Foundation Models Show Promise for Mitotic Figure Detection
Researchers have explored the effectiveness of pathology foundation models (FMs) as encoders for mitotic figure detection, moving beyond their typical use in classification tasks. The study compared several FMs, includi…
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Optimized RetinaNet Architecture Achieves Real-Time Semantic Segmentation for Automotive Systems
Researchers have developed an optimized semantic segmentation architecture called Opt-RetinaSeg, derived from the RetinaNet detection framework, specifically for real-time perception in embedded automotive systems. This…
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LVLMs show promise for SOTIF-compliant object detection in autonomous vehicles · 2 sources tracked
A new research paper evaluates Large Vision-Language Models (LVLMs) for 2D object detection in automated driving systems, focusing on Safety Of The Intended Functionality (SOTIF) conditions. The study used the PeSOTIF d…
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AI models struggle with realistic Earth Observation image distortions
A new research paper introduces an enhanced image simulator to generate realistic Earth Observation (EO) imagery degraded by atmospheric turbulence and satellite pointing errors. The study evaluates the performance of Y…
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BifDet dataset released for 3D airway bifurcation detection in CT scans
Researchers have introduced BifDet, a new dataset designed for detecting 3D airway bifurcations in CT scans. This dataset addresses a significant gap in resources for analyzing lung physiology and disease mechanisms. Bi…