Unal, O., Dai, D., & Van Gool, L. (2022). Scribble-supervised lidar semantic segmentation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 2697-2707...
[paper-review] Denoising diffusion probabilistic models
Ho, J., Jain, A., & Abbeel, P. (2020). Denoising diffusion probabilistic models. Advances in neural information processing systems, 33, 6840-6851. official implementation pytorch impleme...
[paper-review] Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data
Sautier, C., Puy, G., Gidaris, S., Boulch, A., Bursuc, A., & Marlet, R. (2022). Image-to-lidar self-supervised distillation for autonomous driving data. In Proceedings of the IEEE/CVF Conferenc...
[paper-review] Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data
Jiang, H., Zhang, D., Cao, T., Yin, B., & Zhao, T. (2021). Named entity recognition with small strongly labeled and large weakly labeled data. arXiv preprint arXiv:2106.08977. 개인적인 논문해석을 포함하고 ...
[paper-review] TEBNER: Domain Specific Named Entity Recognition with Type Expanded Boundary-aware Network.
Fang, Z., Cao, Y., Li, T., Jia, R., Fang, F., Shang, Y., & Lu, Y. (2021, November). TEBNER: Domain Specific Named Entity Recognition with Type Expanded Boundary-aware Network. In Proceedings of...
[paper-review] Donut: Document Understanding Transformer without OCR
Kim, G., Hong, T., Yim, M., Park, J., Yim, J., Hwang, W., … & Park, S. (2021). Donut: Document Understanding Transformer without OCR. arXiv preprint arXiv:2111.15664. 개인적인 논문해석을 포함하고 있으며, 의역 및...
[paper-review] DocFormer: End-to-End Transformer for Document Understanding
Appalaraju, S., Jasani, B., Kota, B. U., Xie, Y., & Manmatha, R. (2021). DocFormer: End-to-End Transformer for Document Understanding. arXiv preprint arXiv:2106.11539. 개인적인 논문해석을 포함하고 있으며, 의역 ...
[paper-review] Learning to Understand Traffic Signs
Guo, Y., Feng, W., Yin, F., Xue, T., Mei, S., & Liu, C. L. (2021, October). Learning to Understand Traffic Signs. In Proceedings of the 29th ACM International Conference on Multimedia (pp. 2076...
[paper-review] Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting
Liao, M., Pang, G., Huang, J., Hassner, T., & Bai, X. (2020). Mask textspotter v3: Segmentation proposal network for robust scene text spotting. In Computer Vision–ECCV 2020: 16th European Conf...
[paper-review] EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Tan, M., & Le, Q. (2019, May). Efficientnet: Rethinking model scaling for convolutional neural networks. In International Conference on Machine Learning (pp. 6105-6114). PMLR. 개인적인 논문해석을 포함하고 ...