Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Computer Vision and Pattern Recognition,Software
Reference47 articles.
1. Li, H., Yang, Q., Cao, Y., Yao, J., et al.: Cracking tabular presentation diversity for automatic cross-checking over numerical facts. In: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 2599–2607 (2020)
2. Hu, J., Kashi, R.S., Lopresti, D., et al.: Evaluating the performance of table processing algorithms. Int. J. Doc. Anal. Recogn. 4(3), 140–153 (2020)
3. Dai, J., Li, Y., He, K., et al.: R-fcn: Object detection via region-based fully convolutional networks. In: Advances in Neural Information Processing Systems, pp. 379–387 (2016)
4. Ren, S., He, K., Girshick, R., et al.: Faster R-CNN: towards real-time object detection with region proposal networks. Adv. Neural. Inf. Process. Syst. 28, 91–99 (2015)
5. He, K., Gkioxari, G., Dollár, P., et al.: Mask R-CNN. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2961–2969 (2017)
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