IEEE

Dynamic Spiking YOLO for Object Detection in Autonomous Vehicles

Abstract: Accurate object detection is critical for safe autonomous driving. In addition to accuracy, energy efficiency is also important for deploying detection modules on vehicular edge computing ...
IEEE

Research on Local MI-PGD Adversarial Example Generation for YOLO Models

Abstract: To enhance the adversarial robustness of YOLO-based object detectors, a localized MI-PGD approach is proposed for generating adversarial examples. The proposed method enhances the ...
GitHub

Flash-creater/YOLO_Object_Detectio

Real-time object detection and classification. Paper: version 1, version 2. All input images from default folder sample_img/ are flowed through the net and predictions are put in sample_img/out/. We ...
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New Segment Anything Models Make it Easier to Detect Objects and Create 3D Reconstructions

We’re introducing SAM 3 and SAM 3D, the newest additions to our Segment Anything Collection, which advance AI understanding of the visual world. SAM 3 enables detection and tracking of objects in ...
GitHub

CS182 Final Project: YOLO

Implementation of the YOLO Object Detection model based on the paper "You Only Look Once: Unified, Real-Time Object Detection" along with a simple two class dataset to train on. For this project, we ...