Contrastive Pretraining for Railway Detection

Author:

Xia Xue1ORCID,Jiao Chenjing1ORCID,Hurni Lorenz1ORCID

Affiliation:

1. ETH Zurich, Zurich, Switzerland

Funder

Swiss National Science Foundation

Publisher

ACM

Reference7 articles.

1. Hu Cao , YueyueWang, Joy Chen , Dongsheng Jiang , Xiaopeng Zhang , Qi Tian , and Manning Wang . 2023. Swin-Unet: Unet-Like Pure Transformer for Medical Image Segmentation . In Computer Vision - ECCV 2022 Workshops , Leonid Karlinsky, Tomer Michaeli, and Ko Nishino (Eds.). Springer Nature Switzerland , Cham , 205--218. Hu Cao, YueyueWang, Joy Chen, Dongsheng Jiang, Xiaopeng Zhang, Qi Tian, and Manning Wang. 2023. Swin-Unet: Unet-Like Pure Transformer for Medical Image Segmentation. In Computer Vision - ECCV 2022 Workshops, Leonid Karlinsky, Tomer Michaeli, and Ko Nishino (Eds.). Springer Nature Switzerland, Cham, 205--218.

2. Ting Chen , Simon Kornblith , Mohammad Norouzi , and Geoffrey Hinton . 2020 . A simple framework for contrastive learning of visual representations . 37th International Conference on Machine Learning, ICML 2020 PartF16814 , Figure 1 (2020), 1575--1585. arXiv:2002.05709 Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. 37th International Conference on Machine Learning, ICML 2020 PartF16814, Figure 1 (2020), 1575--1585. arXiv:2002.05709

3. Alexey Dosovitskiy , Lucas Beyer , Alexander Kolesnikov , Dirk Weissenborn , Xiaohua Zhai , Thomas Unterthiner , Mostafa Dehghani , Matthias Minderer , Georg Heigold , Sylvain Gelly , Jakob Uszkoreit , and Neil Houlsby . 2020. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. (oct 2020 ). arXiv:2010.11929 http://arxiv.org/abs/2010.11929 Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby. 2020. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. (oct 2020). arXiv:2010.11929 http://arxiv.org/abs/2010.11929

4. Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

5. Self-Supervised Multisensor Change Detection

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