Fetching the paper…
Reading the bibliography…
A number of lane detection methods depend on a proposal-free instance segmentation because of its adaptability to flexible object shape, occlusion, and real-time application.
Schroff, F., Kalenichenko, D., Philbin, J.: Facenet: A unified embedding for face recognition and clustering. In: CVPR (June 2015)
2015
Earlier work this paper cites.
Yu, J., Blaschko, M.: The lovász hinge: A novel convex surrogate for submodular losses (2015)
2015
Earlier work this paper cites.
2017
Earlier work this paper cites.
He, K., Gkioxari, G., Dollár, P., Girshick, R.: Mask r-cnn. In: ICCV (2017)
2017
Earlier work this paper cites.
Chen, L.C., Zhu, Y., Papandreou, G., Schroff, F., Adam, H.: Encoder-decoder with atrous separable convolution for semantic image segmentation. In: ECCV (2018)
2018
Cited alongside, same era.
Hsu, Y.C., Xu, Z., Kira, Z., Huang, J.: Learning to cluster for proposal-free instance segmentation. In: IJCNN. IEEE (2018)
2018
Cited alongside, same era.
Liu, R., Lehman, J., Molino, P., Such, F.P., Frank, E., Sergeev, A., Yosinski, J.: An intriguing failing of convolutional neural networks and the coordconv solution. In: Advances in Neural Information Processing Systems. pp. 9605–9616 (2018)
2018
Cited alongside, same era.
Neven, D., De Brabandere, B., Georgoulis, S., Proesmans, M., Van Gool, L.: Towards end-to-end lane detection: an instance segmentation approach. In: 2018 IEEE intelligent vehicles symposium (IV). pp. 286–291. IEEE (2018)
2018
Later among the works it cites.
Chao, P., Kao, C.Y., Ruan, Y.S., Huang, C.H., Lin, Y.L.: Hardnet: A low memory traffic network. In: ICCV (October 2019)
2019
Later among the works it cites.
Neven, D., Brabandere, B.D., Proesmans, M., Gool, L.V.: Instance segmentation by jointly optimizing spatial embeddings and clustering bandwidth. In: CVPR (2019)
2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…