List of all the papers on transformers for computer vision.
- Bottleneck Transformers for Visual Recognition
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
- Rethinking Attention with Performers
- Deformable DETR: Deformable Transformers for End-To-End Object Detection
- LambdaNetworks: Modeling long-range Interactions without Attention
- A Universal Representation Transformer Layer for Few-Shot Image Classification
- DeLighT: Deep and Light-weight Transformer
- Colorization Transformer
- End-to-end Lane Shape Prediction with Transformers
- Visual Transformers: Token-based Image Representation and Processing for Computer Vision
- UP-DETR: Unsupervised Pre-training for Object Detection with Transformers
- SETR: Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
- Training data-efficient image transformers & distillation through attention
- End-to-End Object Detection with Transformers
- Rethinking Transformer-based Set Prediction for Object Detection
- ViT-FRCNN: Toward Transformer-Based Object Detection
