object detection

"I'm going to actually develop a product and learn what AI really is. I'll try doing it with a simple smartphone camera app that recognizes cards and projects characters into an AR space."

"We introduce MARINER, a comprehensive benchmark built under the novel Entity-Environment-Event (3E) paradigm... revealing that even advanced models struggle with fine-grained discrimination and causal reasoning in complex marine scenes."

"I created this to solve the frustrations of 'stumbling over environment setup,' 'messy experiment management,' and 'not knowing how to write reproducible code' by combining the mainstream tech stacks used in actual practice."

"This application aims to quantify the 'degree of clutter' from photos of a room and record it as a score. We aim to quantify the subjective impression that people feel like 'it's indeed messy' as naturally as possible."

"…the system uses a Raspberry Pi with a camera to monitor the intercom light, using YOLO to determine if it's lit, and then sends a notification to LINE."

"The article guides users through gathering learning materials, labeling objects, data augmentation, model training, and execution."

"experimental results show that, compared with the previous BLS and CNNs methods existed, the accuracy of FBP was improved by E-BLS and ER-BLS, demonstrating the effectiveness and superiority of the method presented, which can also be widely used in pattern recognition, object detection and image classification."

"Amazon Rekognition is an automated image and video analysis service that can be used without any machine learning experience."

"In the business world, Object Detection is the most cost-effective and widely applicable."

"Object detection (Object Detection) is a technology that identifies what and where something is in images and videos."

"Results reveal severe domain transfer failure: the best model (OWLv2) achieves only 27.6% F1-score with 69% false positive rate."

"Our approach leverages SAM, a recent and powerful image segmentation AI model, to create masks for dynamic trigger placement, introducing a new and stealthy attack method."

"The same pipeline works with different auto-annotation systems; the core idea is using language-conditioned detection as a first-pass label generator rather than treating it as a final model."

"The paper focuses on weakly-supervised camouflaged object detection using scribble annotations."

"The research focuses on image classification and object detection models, likely leveraging meta-learning for improved few-shot learning."

"The paper focuses on mitigating object hallucinations."

"The paper focuses on object detection in Hyperspectral Images."

"The article is sourced from ArXiv, indicating a peer-reviewed research paper."

"DenseBEV transforms BEV grid cells into 3D objects."

"FlowDet unifies object detection and generative transport flows."

"The research originates from ArXiv, a pre-print server for scientific papers."

"The paper is available on ArXiv."

"The research focuses on diffusion-based restoration for multi-modal 3D object detection."

"The article's context indicates the research is published on ArXiv."

"The paper originates from ArXiv, suggesting it's a pre-print or research publication."

"The article is sourced from ArXiv, indicating it's likely a pre-print research paper."

"The article's context revolves around reliable detection of minute targets in high-resolution aerial imagery across temporal shifts."

"The research focuses on salient object detection in complex weather conditions."

"The paper focuses on category-level 6D object pose estimation."

"ABBSPO: Adaptive Bounding Box Scaling and Symmetric Prior based Orientation Prediction for Detecting Aerial Image Objects"