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Scene Understanding for Autonomous Vehicles

Authors (Team name)

Paper (under construction)

The paper will be updated weekly according to the work done in the project.

Scene Understanding for Autonomous Vehicles

Weekly progress slides

Slides summarizing the work done each week

References

Simonyan, K., & Zisserman, A. (2014). Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556. Paper summary

He, K., Zhang, X., Ren, S., & Sun, J. (2016). Deep residual learning for image recognition. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 770-778). [Paper summary]

Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., & Wojna, Z. (2016). Rethinking the inception architecture for computer vision. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 2818-2826). Paper summary

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Master in Computer Vision - M5 Visual recognition

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