SFA 3D | 3D Object Detection | Perception for Self Driving Cars
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- Опубликовано: 4 окт 2024
- Discussing a 3D Object Detection technique, SFA 3D, Super Fast and Accurate 3D Object Detection. The network makes use of a Feature Pyramid Network (FPN), along with different loss functions to generate the predictions.
Feel free to leave a comment or message me on Twitter/LinkedIn in case of any questions, doubts, suggestions or improvements.
Twitter: / mahnasakshay
LinkedIn: / sakshaymahna
Links
Dataset: www.kaggle.com...
Notebook/Code: www.kaggle.com...
Data Visualization: www.kaggle.com...
Data Visualization Video: • KITTI 3D Data Visualiz...
SFA3D GitHub Repository: github.com/mau...
Feature Pyramid Networks: / understanding-feature-...
Keypoint Feature Pyramid Network: arxiv.org/pdf/...
Heat Maps: en.wikipedia.o...
Focal Loss: / understanding-focal-lo...
L1 Loss: afteracademy.c...
Balanced L1 Loss: paperswithcode...
Learning Rate Decay: / learning-rate-decay-an...
Cosine Annealing: paperswithcode...
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Good Job! Please upload more.
Nice explanation. This makes it easy to understand the model.
Thank you Pankaj!
thank you for this nice course. is there any way to get an efficiency on the test data as a value also in the jupyter notebook ?
🔥🔥🔥🔥🔥well explained.
Thank You!😊
thanks! This video help me a lot :)
Glad you found it useful!
Sir, is there any paper or resource related to this SFA3D? Thanks in advance.
The complete model is based on a repository on GitHub. On that repo, they have a document Technical Details. You can have a look at it. Here's the link: github.com/maudzung/SFA3D/blob/master/Technical_details.md
@@RoboticswithSakshay Again thanks Sir.
Hai sir i want data annotation job and I'm also 2years experienced in data annotations
I'm following you in LinkedIn
Please sir help me