Segment Anything in Non-Euclidean Domains: Challenges and Opportunities

23 April 2023

Papers citing "Segment Anything in Non-Euclidean Domains: Challenges and Opportunities"

9 / 9 papers shown

Title
RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation Yonglin Li Jing Zhang Xiao Teng Long Lan VOS VLM 13 16 0 03 Jul 2023
A Comprehensive Survey on Segment Anything Model for Vision and Beyond Chunhui Zhang Li Liu Yawen Cui Guanjie Huang Weilin Lin Yiqian Yang Yuehong Hu VLM 25 89 0 14 May 2023
Deep Graph Reprogramming Yongcheng Jing Chongbin Yuan Li Ju Yiding Yang Xinchao Wang Dacheng Tao 75 35 0 28 Apr 2023
DepGraph: Towards Any Structural Pruning Gongfan Fang Xinyin Ma Mingli Song Michael Bi Mi Xinchao Wang GNN 79 245 0 30 Jan 2023
AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer Songhua Liu Tianwei Lin Dongliang He Fu Li Meiling Wang Xin Li Zhengxing Sun Qian Li Errui Ding 111 296 0 08 Aug 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,735 0 24 Feb 2021
SPAGAN: Shortest Path Graph Attention Network Yiding Yang Xinchao Wang Mingli Song Junsong Yuan Dacheng Tao GNN 130 94 0 10 Jan 2021
Distilling Knowledge from Graph Convolutional Networks Yiding Yang Jiayan Qiu Mingli Song Dacheng Tao Xinchao Wang 141 222 0 23 Mar 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 178 907 0 02 Mar 2020