Towards Lifelong Scene Graph Generation with Knowledge-ware In-context Prompt Learning

no code implementations • 26 Jan 2024 • Tao He, Tongtong Wu, Dongyang Zhang, Guiduo Duan, Ke Qin, Yuan-Fang Li

Besides, extensive experiments on the two mainstream benchmark datasets, VG and Open-Image(v6), show the superiority of our proposed model to a number of competitive SGG models in terms of continuous learning and conventional settings.

Graph Generation In-Context Learning +1

AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results

no code implementations • 14 Sep 2020 • Dario Fuoli, Zhiwu Huang, Shuhang Gu, Radu Timofte, Arnau Raventos, Aryan Esfandiari, Salah Karout, Xuan Xu, Xin Li, Xin Xiong, Jinge Wang, Pablo Navarrete Michelini, Wen-Hao Zhang, Dongyang Zhang, Hanwei Zhu, Dan Xia, Haoyu Chen, Jinjin Gu, Zhi Zhang, Tongtong Zhao, Shanshan Zhao, Kazutoshi Akita, Norimichi Ukita, Hrishikesh P. S, Densen Puthussery, Jiji C. V

Missing information can be restored well in this region, especially in HR videos, where the high-frequency content mostly consists of texture details.

Image Super-Resolution SSIM +1