YOLOv2
PulseAugur coverage of YOLOv2 — every cluster mentioning YOLOv2 across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
-
New AdvSerial framework enables physical adversarial attacks on pedestrian detectors
Researchers have developed AdvSerial, a novel framework for creating physical adversarial attacks against pedestrian detection systems used in infrastructure like traffic cameras and smart city surveillance. This method…
-
IoUCert framework enables robustness verification for object detectors
Researchers have developed IoUCert, a new formal verification framework designed to address the challenges of verifying object detection models. This framework specifically tackles the complexities of coordinate transfo…
-
GeoSEAN model offers explainable country-level image geolocation for ASEAN regions
Researchers have developed GeoSEAN, a novel system for country-level image geolocation within ASEAN regions, addressing the challenge of similar visual characteristics across borders. The system utilizes a multilayer pe…
-
Tiny collaborative inference boosts object detection on edge devices
Researchers have developed a method for improving object detection on small edge devices, particularly in scenarios with occlusion. Their approach combines a lightweight neural network architecture with TensorFlow Lite …
-
Enhanced YOLOv2 model improves virus and cell patch detection
Researchers have developed an enhanced YOLOv2 model for detecting virus and small cell patches in biomedical images. This improved model integrates a Feature Pyramid Network (FPN) for better multi-scale feature represen…