Unleash the Capabilities of the Vision-Language Pre-training Model in Gaze Object Prediction

Author:

Chen Dazhi,Gou Gang

Publisher

Springer Nature Singapore

Reference18 articles.

1. Bochkovskiy, A., Wang, C.Y., Liao, H.Y.M.: Yolov4: optimal speed and accuracy of object detection. arXiv preprint arXiv:2004.10934 (2020)

2. Chong, E., Wang, Y., Ruiz, N., Rehg, J.M.: Detecting attended visual targets in video. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 5396–5406 (2020)

3. Dosovitskiy, A., et al.: An image is worth 16 $$\times $$ 16 words: transformers for image recognition at scale. arXiv preprint arXiv:2010.11929 (2020)

4. Fu, Z., Yang, H., So, A.M.C., Lam, W., Bing, L., Collier, N.: On the effectiveness of parameter-efficient fine-tuning. arXiv preprint arXiv:2211.15583 (2022)

5. He, J., Zhou, C., Ma, X., Berg-Kirkpatrick, T., Neubig, G.: Towards a unified view of parameter-efficient transfer learning. arXiv preprint arXiv:2110.04366 (2021)

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