Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Tian, Changyao"'
Autor:
Li, Qingyun, Chen, Zhe, Wang, Weiyun, Wang, Wenhai, Ye, Shenglong, Jin, Zhenjiang, Chen, Guanzhou, He, Yinan, Gao, Zhangwei, Cui, Erfei, Yu, Jiashuo, Tian, Hao, Zhou, Jiasheng, Xu, Chao, Wang, Bin, Wei, Xingjian, Li, Wei, Zhang, Wenjian, Zhang, Bo, Cai, Pinlong, Wen, Licheng, Yan, Xiangchao, Li, Zhenxiang, Chu, Pei, Wang, Yi, Dou, Min, Tian, Changyao, Zhu, Xizhou, Lu, Lewei, Chen, Yushi, He, Junjun, Tu, Zhongying, Lu, Tong, Wang, Yali, Wang, Limin, Lin, Dahua, Qiao, Yu, Shi, Botian, He, Conghui, Dai, Jifeng
Image-text interleaved data, consisting of multiple images and texts arranged in a natural document format, aligns with the presentation paradigm of internet data and closely resembles human reading habits. Recent studies have shown that such data ai
Externí odkaz:
http://arxiv.org/abs/2406.08418
Autor:
Tao, Chenxin, Zhu, Xizhou, Su, Shiqian, Lu, Lewei, Tian, Changyao, Luo, Xuan, Huang, Gao, Li, Hongsheng, Qiao, Yu, Zhou, Jie, Dai, Jifeng
Modality differences have led to the development of heterogeneous architectures for vision and language models. While images typically require 2D non-causal modeling, texts utilize 1D causal modeling. This distinction poses significant challenges in
Externí odkaz:
http://arxiv.org/abs/2406.04342
Autor:
Tian, Changyao, Zhu, Xizhou, Xiong, Yuwen, Wang, Weiyun, Chen, Zhe, Wang, Wenhai, Chen, Yuntao, Lu, Lewei, Lu, Tong, Zhou, Jie, Li, Hongsheng, Qiao, Yu, Dai, Jifeng
Developing generative models for interleaved image-text data has both research and practical value. It requires models to understand the interleaved sequences and subsequently generate images and text. However, existing attempts are limited by the is
Externí odkaz:
http://arxiv.org/abs/2401.10208
Autor:
Tian, Changyao, Tao, Chenxin, Dai, Jifeng, Li, Hao, Li, Ziheng, Lu, Lewei, Wang, Xiaogang, Li, Hongsheng, Huang, Gao, Zhu, Xizhou
Image recognition and generation have long been developed independently of each other. With the recent trend towards general-purpose representation learning, the development of general representations for both recognition and generation tasks is also
Externí odkaz:
http://arxiv.org/abs/2306.05423
Deep learning-based models encounter challenges when processing long-tailed data in the real world. Existing solutions usually employ some balancing strategies or transfer learning to deal with the class imbalance problem, based on the image modality
Externí odkaz:
http://arxiv.org/abs/2111.13579
Autor:
Song, Chenyang, Zeng, Zheni, Tian, Changyao, Li, Kuai, Yao, Yuan, Zheng, Suncong, Liu, Zhiyuan, Sun, Maosong
Publikováno v:
In AI Open 2024 5:104-114
