Transformer in Computer Vision
2020-12-03 19:18:25
1. Attention is all you need[J]. NIPS-2017. [Paper] [Code]
2. End-to-End Object Detection with Transformers[J]. arXiv preprint arXiv:2005.12872, 2020. [Paper] [Code]
3. RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder, NIPS 2020, [Paper] [Code]
4. End-to-End Object Detection with Adaptive Clustering Transformer[J]. arXiv preprint arXiv:2011.09315, 2020. [Paper]
5. UP-DETR: Unsupervised Pre-training for Object Detection with Transformers[J]. arXiv preprint arXiv:2011.09094, 2020. [Paper]
6. Rethinking Transformer-based Set Prediction for Object Detection[J]. arXiv preprint arXiv:2011.10881, 2020. [Paper]
7. Deformable DETR: Deformable Transformers for End-to-End Object Detection, [Paper] [Code]
8. ConvTransformer: A Convolutional Transformer Network for Video Frame Synthesis [Paper]
9. End-to-end Lane Shape Prediction with Transformers [Paper]
10. End-to-End Video Instance Segmentation with Transformers [Paper]
11. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale[J]. arXiv preprint arXiv:2010.11929, 2020. [Paper]
12. Pre-Trained Image Processing Transformer [Paper]