References

[1] S.Kim, J.Philion, A.Torralba , S.Fidler, “DriveGAN: Towards a Controllable High-Quality Neural Simulation,” Computer Vision and Pattern Recognition ; Robotics, Apr 2021, Available: arXivLabs, https://arxiv.org/abs/2104.15060 . [Accessed November 2021].

[2]P.Mody, “List of Semantic Segmentation Models for Autonomous Vehicles,” playment.io,March. 6, 2018.[Online].Available:https://www.playment.io/blog/semantic-segmentation-models-autonomous-vehicles . [Accessed November 2021].

[3]C.Trivedi, “How to create realistic Grand Theft Auto 5 graphics with Deep Learning,” freeCodeCamp,August.1,2018.[Online].Available:https://www.freecodecamp.org/news/how-to-create-realisticgrand-theft-auto-5-graphics-with-deep-learning-cc092c4a69f0/. [Accessed November 2021].

[4] D.Mwiti, K.(Yi) Li, “Image Segmentation in 2021: Architectures, Losses, Datasets, and Frameworks, ”neptune.ai,Dec.21,2021.[Online].Available:https://neptune.ai/blog/image-segmentation.[Accessed November 2021].

[5]T.Wang, M.Liu, J.Zhu, A.Tao, J.Kautz, B.Catanzaro, “High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs,” Computer Vision and Pattern Recognition; Graphics; Machine Learning, Nov 30, 2017 , Available: arXivLabs,https://arxiv.org/abs/1711.11585. [Accessed November 2021].

[6] J.Brownlee, “How to Develop a Conditional GAN (cGAN) From Scratch, ”machinelearningmastery.com,September 1, 2020.[Online].Available:https://machinelearningmastery.com/how-to-develop-a-conditional-generativeadversarial-network-from-scratch/.[Accessed October 2021].

[7]G.Giacaglia,“HowTransformersWork, ”towardsdatascience.com,Mar 11, 2019· .[Online].Available:https://towardsdatascience.com/transformers-141e32e69591.[Accessed November 2021].

[8]M.Phi, “Illustrated Guide to LSTM and GRU’s: A step by step explanation, ”towardsdatascience.com, Sep 24, 2018. [Online]. Available:https://towardsdatascience.com/illustrated-guide-to-lstms-and-gru-s-a-step-bystep-explanation-44e9eb85bf21.[Accessed October 2021].

[9]V.Perez, “Transformers in Computer Vision: Farewell Convolutions!, ”towardsdatascience.com, November 23, 2020. [Online]. Available:https://towardsdatascience.com/transformers-in-computer-vision-farewellconvolutions-f083da6ef8ab. [Accessed November 2021].

[10]A.Saporta, T.Hung, M.Cord, P.Perez, “Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation,” Computer Vision and Pattern Recognition ; Robotics, Apr 2021, Available: Valeo.ai, https://arxiv.org/pdf/2108.06962.pdf . [Accessed December 2021].

[11]S.Richter, V.Vineet, S.Roth, V.Koltun, “Playing for Data: Ground Truth from Computer Games,” Aug.7,2016,Available:paperswithcode.com,https://paperswithcode.com/paper/playing-for-data-ground-truthfrom-computer . [Accessed December 2021].

[12]T.Wang, M.Liu, J.Zhu, A.Tao, J.Kautz, B.Catanzaro, “Image-to-Image Translation with Conditional Adversarial Networks,” Nov 26, 2018, Available:paperswithcode.com,https://paperswithcode.com/paper/imageto-image-translation-with-conditional. [Accessed December 2021].

[13] J.Zhu, T.Park, P.Isola, A.Efros, “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks,” Aug 24, 2020, Available:paperswithcode.com,https://paperswithcode.com/paper/unpaired-image-toimage-translation-using. [Accessed November2021].

[13]M.Uriˇcˇa´rˇ , P.Kr´ıˇzek ˇ , D.Hurych , I.Sobh, S.Yogamani, P.Denny, “Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving,” March 15, 2019, Available: arXivLabs, https://arxiv.org/abs/1902.03442. [Accessed November2021].

[14]H.Huang , E.Tseng, P.Chiang , C.Lin, “Urban Scene Segmentation for Autonomous Vehicles,” March 15, 2019, Available: noiselab.ucsd.edu, http://noiselab.ucsd.edu/ECE228_2018/Reports/Report8.pdf. [Accessed November2021].

[15]N.Gählert, N.Jourdan, M.Cordts, U.Franke, J.Denzler, “Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection,” June 14, 2020, Available:Mercedes-Benz AG, arXivLabs, https://arxiv.org/abs/2006.07864. [Accessed November2021].

[16]A.Garcia, S.Escolano, S.Oprea, V.Martinez, J.Rodriguez, “A Review on Deep Learning TechniquesApplied Semantic Segmentation,” April 22, 2017, Available: arXivLabs, https://arxiv.org/abs/1704.06857. [Accessed November2021].

[17]A.Vaswani, N.Shazeer, N.Parmar, J.Uszkoreit, L.Jones, A.Gomez, L.Kaiser, I.Polosukhin, “Attention Is All You Need,” December 6, 2017, Available: arXivLabs, https://arxiv.org/abs/1706.03762. [Accessed November2021].

[18]C.Finn, P.Christiano, P.Abbeel, S.Levine, “A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models,” November 25, 2018, Available: arXivLabs, https://arxiv.org/abs/1706.03762. [Accessed October 2021].