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We propose a simple yet effective instance segmentation framework, termed CondInst (conditional convolutions for instance segmentation).
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2020
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Chen, H., Sun, K., Tian, Z., Shen, C., Huang, Y., Yan, Y.: Blendmask: Top-down meets bottom-up for instance segmentation. In: Proc. IEEE Conf. Comp. Vis. Patt. Recogn. (2020)
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Liu, Y., Shu, C., Wang, J., Shen, C.: Structured knowledge distillation for dense prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence (2020)
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Xie, E., Sun, P., Song, X., Wang, W., Liang, D., Shen, C., Luo, P.: PolarMask: Single shot instance segmentation with polar representation. In: Proc. IEEE Conf. Comp. Vis. Patt. Recogn. (2020)
2020
Closest in time.