“OSCAR”

By Robert Boucaut. 2013

Subfields: Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Zhe Gan
2. Lijuan Wang
3. Zicheng Liu
4. Jianfeng Wang
5. Zhengyuan Yang
6. Xiaowei Hu
7. Jianfeng Gao
8. Cordelia Schmid

Citations in the corpus

• Scaling Up Vision-Language Pretraining for Image Captioning (2021, methodology): “Prominent examples include UNITER [6], VL-BERT [42], OSCAR [33], UNIMO [32], and VinVL [56].”
• Pre-Trained Models: Past, Present and Future (2021, methodology): “In single-stream models, such as VisualBERT (Li et al., 2019), Unicoder-VL (Li et al., 2020a), B2T2 (Alberti et al., 2019), the image region features and word embeddings are usually concatenated and fed into a single transformer.”