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YOLOv4: Optimal Speed and Accuracy of Object Detection

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roadrunner01: YOLOv4: Optimal Speed and Accuracy of Object Detection pdf: https://arxiv.org/pdf/2004.10934.pdf abs: https://arxiv.org/abs/2004.10934 github: https://github.com/AlexeyAB/darknet https://t.co/Dq8IWP1Fow

4 replies, 741 likes


/MachineLearning: YOLOv5 is Here: State-of-the-Art Object Detection at 140 FPS https://www.reddit.com/r/MachineLearning/comments/h0ddia/news_yolov5_is_here_stateoftheart_object/

3 replies, 261 likes


tdual🍮MatrixFlow: 2018 11/12 M2Det https://arxiv.org/abs/1811.04533 2019 7/11 A Survey of Deep Learning-based Object Detection https://arxiv.org/abs/1907.09408 2019 11/20 EfficientDet https://arxiv.org/abs/1911.09070 2020 4/23 YOLOv4 https://arxiv.org/abs/2004.10934

2 replies, 65 likes


Georgina Cosma: Great! YOLOv4: Optimal Speed and Accuracy of Object Detection (w/ Py code and paper). New great features and data augmentation methods! Code: https://github.com/AlexeyAB/darknet Paper: https://arxiv.org/abs/2004.10934 #DataScience #DeepLearning #MachineVision #AI https://t.co/KV3yeiWNVK

1 replies, 65 likes


arxiv: YOLOv4: Optimal Speed and Accuracy of Object Detection. http://arxiv.org/abs/2004.10934 https://t.co/f0303Gc9Dy

0 replies, 61 likes


Aakash Kumar Nain: 😍😍

0 replies, 17 likes


arXiv CS-CV: YOLOv4: Optimal Speed and Accuracy of Object Detection http://arxiv.org/abs/2004.10934

0 replies, 15 likes


Mayank Bhaskar: Extending on @pjreddie's work, YOLO with its version 4, is back in the town with its two-stage object detector which is architectured around - Backbone: CSPDarknet53 - Neck: SPP, PAN (modified) - Head: YOLOv3 Great for inference at the edge @__MLT__ #DeepLearning #edgecomputing https://t.co/tVYyOu2k7k

0 replies, 11 likes


Hacker News: YOLOv4: Optimal Speed and Accuracy of Object Detection https://arxiv.org/abs/2004.10934

0 replies, 10 likes


Hacker News: YOLOv4: Optimal Speed and Accuracy of Object Detection https://arxiv.org/abs/2004.10934

0 replies, 8 likes


Maksym Andriushchenko: 3. Better generalization. There is evidence that adversarial training with a *small eps* can improve generalization: - https://arxiv.org/abs/1911.09665 on ImageNet - https://arxiv.org/abs/1909.11764 for fine-tuning BERT - https://arxiv.org/abs/2004.10934 for object detection in YOLO v4 4/6 https://t.co/4zUeTC2ucL

1 replies, 6 likes


Andrew N: Yolo V4 - new fresh updates to object detection https://arxiv.org/abs/2004.10934

0 replies, 5 likes


Gilberto Ochoa Ruiz: It's just me or is a bit odd to see an article with YOLO and "V4' on it, but none of the authors of the previous version of the algorithm? Is this a sort of academic clickbait? #ArtificialIntelligence #DeepLearning #PatternRecognition

1 replies, 2 likes


大上雅史|Ohue M: [2004.10934] YOLOv4: Optimal Speed and Accuracy of Object Detection https://arxiv.org/abs/2004.10934 YOLOv4だ

0 replies, 2 likes


Diganta Misra ツ: Nice comparisons with Efficient Det and using various augmentation techniques. Also some very notable improvements by using Mish activation function. This is my 22nd citation :)

1 replies, 2 likes


Third Row Tesla Podcast: YOLOv4 Optimal Speed and Accuracy of Object Detection @karpathy https://arxiv.org/abs/2004.10934

0 replies, 1 likes


MLT: v4 to v5 in less than 2 months! 😅 (YOLOv4 by Alexey Bochkovskiy et al. https://arxiv.org/abs/2004.10934)

0 replies, 1 likes


🗡🖤💙: Optimal Speed and Accuracy of Object Detection https://arxiv.org/pdf/2004.10934.pdf

1 replies, 0 likes


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Found on Apr 24 2020 at https://arxiv.org/pdf/2004.10934.pdf

PDF content of a computer science paper: YOLOv4: Optimal Speed and Accuracy of Object Detection