1. Radford, A., Kim, J.W., Hallacy, C., et al.: Learning transferable visual models from natural language supervision. In: International Conference on Machine Learning. pp. 8748–8763. PMLR (2021)
2. Gu, X., Lin, T.Y., Kuo, W., Cui, Y.: Open-vocabulary object detection via vision and language knowledge distillation. arXiv preprint arXiv:2104.13921 (2021)
3. Zhong, Y., Yang, J., Zhang, P., et al.: Regionclip: region-based language-image pretraining. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 16793–16803 (2022)
4. Pham, C., Vu, T., Nguyen, K.: Lp-ovod: open-vocabulary object detection by linear probing. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp. 779–788 (2024)
5. Wu, S., Zhang, W., Xu, L., et al.: Clipself: vision transformer distills itself for open-vocabulary dense prediction. arXiv preprint arXiv:2310.01403 (2023)