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Edge detection has long been an important problem in the field of computer vision.
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Canny, J.: A computational approach to edge detection. IEEE Transactions on pattern analysis and machine intelligence (6), 679–698 (1986)
1986
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1986
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Guo, Z., Hall, R.W.: Parallel thinning with two-subiteration algorithms. Communications of the ACM 32
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2003
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Martin, D.R., Fowlkes, C.C., Malik, J.: Learning to detect natural image boundaries using local brightness, color, and texture cues. IEEE transactions on pattern analysis and machine intelligence 26
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Dai, J., He, K., Sun, J.: Convolutional feature masking for joint object and stuff segmentation. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 3992–4000 (2015)
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Hariharan, B., Arbeláez, P., Girshick, R., Malik, J.: Hypercolumns for object segmentation and fine-grained localization. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 447–456 (2015)
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Ren, S., He, K., Girshick, R., Sun, J.: Faster r-cnn: Towards real-time object detection with region proposal networks. Advances in neural information processing systems 28
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Xie, S., Tu, Z.: Holistically-nested edge detection. In: Proceedings of the IEEE international conference on computer vision. pp. 1395–1403 (2015)
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He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 770–778 (2016)
2016
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Milletari, F., Navab, N., Ahmadi, S.A.: V-net: Fully convolutional neural networks for volumetric medical image segmentation. In: 2016 fourth international conference on 3D vision (3DV). pp. 565–571. IEEE (2016)
2016
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Castrejon, L., Kundu, K., Urtasun, R., Fidler, S.: Annotating object instances with a polygon-rnn. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 5230–5238 (2017)
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He, K., Gkioxari, G., Dollár, P., Girshick, R.: Mask r-cnn. In: Proceedings of the IEEE international conference on computer vision. pp. 2961–2969 (2017)
2017
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2017
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Lin, T.Y., Goyal, P., Girshick, R., He, K., Dollár, P.: Focal loss for dense object detection. In: Proceedings of the IEEE international conference on computer vision. pp. 2980–2988 (2017)
2017
Cited alongside, same era.
2020
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Peng, S., Jiang, W., Pi, H., Li, X., Bao, H., Zhou, X.: Deep snake for real-time instance segmentation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 8533–8542 (2020)
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Xie, E., Sun, P., Song, X., Wang, W., Liu, X., Liang, D., Shen, C., Luo, P.: Polarmask: Single shot instance segmentation with polar representation. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 12193–12202 (2020)
2020
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Liu, Y., Cheng, M.M., Hu, X., Wang, K., Bai, X.: Richer convolutional features for edge detection. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 3000–3009 (2017)
2017
Cited alongside, same era.
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, Ł., Polosukhin, I.: Attention is all you need. In: Advances in neural information processing systems. pp. 5998–6008 (2017)
2017
Cited alongside, same era.
Yu, Z., Feng, C., Liu, M.Y., Ramalingam, S.: Casenet: Deep category-aware semantic edge detection. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 5964–5973 (2017)
2017
Cited alongside, same era.
Acuna, D., Ling, H., Kar, A., Fidler, S.: Efficient interactive annotation of segmentation datasets with polygon-rnn++. In: Proceedings of the IEEE conference on Computer Vision and Pattern Recognition. pp. 859–868 (2018)
2018
Cited alongside, same era.
Law, H., Deng, J.: Cornernet: Detecting objects as paired keypoints. In: Proceedings of the European conference on computer vision (ECCV). pp. 734–750 (2018)
2018
Cited alongside, same era.
Yu, Z., Liu, W., Zou, Y., Feng, C., Ramalingam, S., Kumar, B., Kautz, J.: Simultaneous edge alignment and learning. In: Proceedings of the European Conference on Computer Vision (ECCV). pp. 388–404 (2018)
2018
Cited alongside, same era.
Bolya, D., Zhou, C., Xiao, F., Lee, Y.J.: Yolact: Real-time instance segmentation. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 9157–9166 (2019)
2019
Cited alongside, same era.
Gupta, A., Dollar, P., Girshick, R.: Lvis: A dataset for large vocabulary instance segmentation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 5356–5364 (2019)
2019
Cited alongside, same era.
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Zaheer, M., Guruganesh, G., Dubey, K.A., Ainslie, J., Alberti, C., Ontanon, S., Pham, P., Ravula, A., Wang, Q., Yang, L., et al.: Big bird: Transformers for longer sequences. In: NeurIPS (2020)
2020
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2020
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2021
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Cheng, B., Girshick, R., Dollár, P., Berg, A.C., Kirillov, A.: Boundary iou: Improving object-centric image segmentation evaluation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 15334–15342 (2021)
2021
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2021
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2021
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2021
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2021
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2021
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Jiang, Y., Chang, S., Wang, Z.: Transgan: Two pure transformers can make one strong gan, and that can scale up. CVPR (2021)
2021
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2021
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2021
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Meng, D., Chen, X., Fan, Z., Zeng, G., Li, H., Yuan, Y., Sun, L., Wang, J.: Conditional detr for fast training convergence. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 3651–3660 (2021)
2021
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Pu, M., Huang, Y., Guan, Q., Ling, H.: Rindnet: Edge detection for discontinuity in reflectance, illumination, normal and depth. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 6879–6888 (2021)
2021
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2021
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Wang, H., Zhu, Y., Adam, H., Yuille, A., Chen, L.C.: Max-deeplab: End-to-end panoptic segmentation with mask transformers. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 5463–5474 (2021)
2021
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2021
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2021
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