YOLO
PulseAugur coverage of YOLO — every cluster mentioning YOLO across labs, papers, and developer communities, ranked by signal.
- competes with RF-DETR 80%
- competes with Gotit.pub 70%
- competes with alphaXiv 70%
- used by CatalyzeX 70%
- competes with ScienceCast 70%
- competes with CatalyzeX 70%
- instance of COCO 70%
- used by COCO 70%
- used by ScienceCast 60%
- used by alphaXiv 60%
- used by Gotit.pub 60%
- instance of DEtection TRansformer 60%
19 day(s) with sentiment data
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MammoMix uses Mixture-of-Experts for robust mammogram breast detection
Researchers have developed MammoMix, a new framework utilizing the Mixture-of-Experts (MoE) paradigm to improve the detection of breast lesions in mammograms. This approach trains individual expert models on specific da…
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Real-world data outperforms synthetic for UAV wildfire detection models
A new research paper explores the effectiveness of different dataset compositions for training compact YOLO models for real-time wildfire detection on unmanned aerial vehicles (UAVs). The study evaluated four configurat…
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New SkySeaLand benchmark targets satellite object detection challenges
Researchers have introduced SkySeaLand, a new benchmark dataset designed for satellite object detection, particularly focusing on wide-format scenes and small targets. The dataset comprises 1,307 high-resolution satelli…
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New Fiji/ImageJ Plugin Streamlines Neuron Segmentation with YOLO
Researchers have developed NeuroAdaptTrainer, a new open-source plugin for Fiji and ImageJ designed to streamline neuron segmentation in neuroscience. This plugin integrates a YOLO instance-segmentation model, enabling …
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YOLO-PEFT framework enhances fine-tuning for real-time object detectors
Researchers have developed YOLO-PEFT, a new framework designed to improve parameter-efficient fine-tuning (PEFT) for real-time object detection models like YOLO. Unlike generic PEFT methods that can fail on detectors du…
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UAVs use interpretable fuzzy inference for target tracking
Researchers have developed an interpretable fuzzy inference framework for guiding unmanned aerial vehicles (UAVs) toward ground targets. This system extracts low-dimensional features from YOLO bounding boxes, such as ce…
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New framework evaluates simile understanding in text-to-image models
Researchers have developed a new framework to evaluate how well text-to-image models understand similes. Despite producing visually appealing results, these models often fail to grasp the metaphorical meaning, confusing…
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New framework tackles video object removal by erasing effects too · 4 sources tracked
Researchers have developed EffectLearner, a framework for video object removal that goes beyond simply erasing a target object to also remove its induced effects like shadows and reflections. This system combines a visi…
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New SAT-Edge-Agent system enables onboard satellite intelligence
Researchers have developed SAT-Edge-Agent, a hardware-in-the-loop system for onboard satellite intelligence that orchestrates local tools under communication and power constraints. The system utilizes an OpenAI-compatib…
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Satellite Intelligence System Uses OpenAI and YOLO Under Edge Constraints
Researchers have developed SAT-Edge-Agent, a system designed for onboard satellite intelligence that operates under strict communication and power constraints. This hardware-in-the-loop system utilizes an ARM-based edge…
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AI system efficiently analyzes surgical videos by tracking tool motion
Researchers have developed an extended version of the Kinematics-Adaptive Frame Recognition (KAFR) system to efficiently analyze laparoscopic surgical videos. This new paradigm uses a fine-tuned YOLO model to detect sur…
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New dataset targets municipal waste detection in urban areas
Researchers have introduced the Maltese Domestic Waste Dataset (MDWD), a new street-level benchmark designed for municipal solid waste detection in dense urban environments. The dataset contains nearly 3,700 images with…
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RadYOLO offers efficient 3D object detection for medical scans
Researchers have developed RadYOLO, a 3D extension of the YOLO object detection model specifically designed for medical imaging tasks like CT and MRI scans. This new model aims to provide a computationally efficient sol…
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Researchers unveil stealthy object removal attacks on critical video perception systems
A new research paper details a method for near-real-time targeted object removal attacks on video-based perception systems used in intelligent transportation. The attack framework, tested on the South Carolina Connected…
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RF-DETR Large model excels at small pollinator detection in video
Researchers have conducted an empirical study on detecting small pollinators in cluttered field videos, comparing YOLO and RF-DETR models. The RF-DETR Large model, when run at a 1344-pixel resolution, achieved the best …
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Synthetic data framework automates gravure printing defect detection
Researchers have developed a new framework for generating synthetic data to automate quality control in gravure printing. This approach addresses the scarcity of real-world defect images, which hinders the training of d…
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Real-time EEG electrode detection system unveiled
Researchers have developed a two-stage vision system capable of detecting EEG cap electrodes in real-time from a webcam feed and verifying their correct anatomical placement. The system utilizes a YOLO detector for elec…
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PRISM-DR pipeline uses specialist models for diabetic retinopathy detection
Researchers have developed PRISM-DR, a novel pipeline for detecting diabetic retinopathy lesions. Unlike previous methods that use a single multi-class model, PRISM-DR employs specialized single-class detectors for each…
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Federated learning framework adapts AI models for fetal ultrasound analysis
Researchers have developed FedCC, a federated learning framework for localizing the corpus callosum in fetal ultrasound images. This approach is designed for low-resource clinical settings and avoids data sharing by ada…
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YOLO26 model optimized for adenovirus detection using data augmentation
Researchers have developed YOLO26, a new model for detecting adenoviruses in transmission electron microscopy (TEM) images. The study systematically compared various data augmentation techniques, including NAS, GAS, GMA…