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"SDDNet: A Fast and Accurate Network for Surface Defect Detection" by Lisha Cui, Xiaoheng Jiang et al.

This article proposes a fast and accurate network for surface defect detection, termed SDDNet. SDDNet mainly addresses two challenging issues - large texture variation and small size of defects - by introducing two modules: feature retaining block (FRB) and skip densely connected module (SDCM). FRB fuses multiple pyramidal feature maps with different resolutions and is plugged on the top of pooling layers, aiming to preserve the texture information, which may be lost because of downsampling. SDCM is designed to propagate the fine-grained details from low- to high-level feature maps for better prediction of defects, especially small defects. Extensive experiments conducted on the publicly available data sets NEU-DET (88.8% mAP), DAGM (99.1% mAP), and Magnetic-Tile (93.4% mAP) have demonstrated the effectiveness of the proposed SDDNet and its feasibility for real-time industrial applications. ....

Convolutional Neural Network , Ultiscale Feature Maps , Real Time Processing , Small Defects , Urface Defect Detection ,

ArriverTM to start deploying software on Qualcomm Snapdragon Ride Platform - a step further towards semi-autonomous driving


ArriverTM to start deploying software on Qualcomm Snapdragon Ride Platform - a step further towards semi-autonomous driving
The software company Arriver
has started operations and taken additional steps on its journey towards providing leading software stack enabling Level 1 ADAS to Level 3 semi-autonomous driving.
Arriver has started to optimize and deploy state-of-the-art next generation software for vision perception and drive policy on the Qualcomm Snapdragon Ride Platform. The Drive Policy software is being ported by Arriver to the Snapdragon Ride Platform with Lane Support System (LSS), Forward Collision Warning (FCW), and Autonomous Emergency Braking (AEB) as initial functionalities, with more being added in a rapid pace. Earlier this year, the Polestar 2 achieved top Euro NCAP safety results and a five-star rating with Arriver s Drive Policy software. ....

Qualcomm Technologie , Giuseppe Rosso , Convolutional Neural Network , Snapdragon Ride , Drive Policy , Snapdragon Ride Platform , Lane Support System , Forward Collision Warning , Autonomous Emergency Braking , Salah Hadi , Active Safety , Qualcomm Snapdragon Ride , குவால்காம் தொழில்நுட்பம் , கியூசெப் ரோஸோ , ஸ்னாப்டிராகன் சவாரி , ஸ்னாப்டிராகன் சவாரி நடைமேடை , சந்து ஆதரவு அமைப்பு , முன்னோக்கி மோதல் எச்சரிக்கை , தன்னாட்சி அவசரம் பிரேக்கிங் , சலா ஹதி , செயலில் பாதுகாப்பு , குவால்காம் ஸ்னாப்டிராகன் சவாரி ,