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[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.
[paper-review] EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Tan, M., & Le, Q. (2019, May). Efficientnet: Rethinking model scaling for convolutional neural networks.
[paper-review] Proxy Anchor Loss for Deep Metric Learning
Kim, S., Kim, D., Cho, M., & Kwak, S. (2020). Proxy anchor loss for deep metric learning.
[paper-review] Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Liu, Z., Lin, Y., Cao, Y., Hu, H., Wei, Y., Zhang, Z., ... & Guo, B. (2021). Swin transformer: Hierarchical vision transformer using shifted windows.
[paper-review] An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
An image is worth 16x16 words: Transformers for image recognition at scale
[paper-review] GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
Cao, Y., Xu, J., Lin, S., Wei, F., & Hu, H. (2019). Gcnet: Non-local networks meet squeeze-excitation networks and beyond.
[paper-review] Asymmetric Non-local Neural Networks for Semantic Segmentation
Zhu, Z., Xu, M., Bai, S., Huang, T., & Bai, X. (2019). Asymmetric non-local neural networks for semantic segmentation.
[paper-review] Non-local Neural Networks
Wang, X., Girshick, R., Gupta, A., & He, K. (2018). Non-local neural networks.
[paper-review] Page Segmentation using a Convolutional Neural Network with Trainable Co-occurrence Features
Lee, J., Hayashi, H., Ohyama, W., & Uchida, S. (2019). Page segmentation using a convolutional neural network with trainable co-occurrence features
[paper-review] DocUNet: Document Image Unwarping via A Stacked U-Net
Ma, K., Shu, Z., Bai, X., Wang, J., & Samaras, D. (2018). Docunet: document image unwarping via a stacked U-Net.
[paper-review] Objects as Points
Zhou, X., Wang, D., & Krähenbühl, P. (2019). Objects as points.
[paper-review] CornerNet: Detecting Objects as Paired Keypoints
Law, H., & Deng, J. (2018). Cornernet: Detecting objects as paired keypoints.
[paper-review] Bottom-up Object Detection by Grouping Extreme and Center Points
Zhou, Xingyi, Jiacheng Zhuo, and Philipp Krahenbuhl. "Bottom-up object detection by grouping extreme and center points."
[paper-review] Self-Attention Generative Adversarial Networks
Zhang, Han, et al. "Self-attention generative adversarial networks."
[paper-review] SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network
Bai, Yancheng, et al. "Sod-mtgan: Small object detection via multi-task generative adversarial network."
[paper-review] Attention Is All You Need
Vaswani, Ashish, et al. "Attention is all you need." arXiv preprint arXiv:1706.03762 (2017).
[paper-review] Ultradense Word Embeddings by Orthogonal Transformation
Rothe, Sascha, Sebastian Ebert, and Hinrich Schütze. "Ultradense word embeddings by orthogonal transformation."