Learning to Segment via Cut-and-Paste

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Unsupervised visual representation learning by context prediction

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Semantic Segmentation using Adversarial Networks

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Cited alongside, same era.

Simple does it: Weakly supervised instance and semantic segmentation

Khoreva, A., Benenson, R., Hosang, J., Hein, M., Schiele, B.: · 2017

Cited alongside, same era.

Mask R-CNN

He, K., Gkioxari, G., Dollár, P., Girshick, R.: · 2017

Object region mining with adversarial erasing: A simple classification to semantic segmentation approach

Wei, Y., Feng, J., Liang, X., Cheng, M.M., Zhao, Y., Yan, S.: · 2017

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Image-to-image translation with conditional adversarial networks

Isola, P., Zhu, J.Y., Zhou, T., Efros, A.A.: · 2017

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Cut, paste and learn: Surprisingly easy synthesis for instance detection

Dwibedi, D., Misra, I., Hebert, M.: · 2017

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Synthesizing training data for object detection in indoor scenes

Georgakis, G., Mousavian, A., Berg, A.C., Kosecka, J.: · 2017

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Least squares generative adversarial networks

Mao, X., Li, Q., Xie, H., Lau, R.Y., Wang, Z., Smolley, S.P.: · 2017

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Adversarial inverse graphics networks: Learning 2d-to-3d lifting and image-to-image translation from unpaired supervision