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pro vyhledávání: '"Hu,Jianhua"'
This paper presents Incremental Vision-Language Object Detection (IVLOD), a novel learning task designed to incrementally adapt pre-trained Vision-Language Object Detection Models (VLODMs) to various specialized domains, while simultaneously preservi
Externí odkaz:
http://arxiv.org/abs/2403.01680
Autor:
Qiu, Jianing, Wu, Jian, Wei, Hao, Shi, Peilun, Zhang, Minqing, Sun, Yunyun, Li, Lin, Liu, Hanruo, Liu, Hongyi, Hou, Simeng, Zhao, Yuyang, Shi, Xuehui, Xian, Junfang, Qu, Xiaoxia, Zhu, Sirui, Pan, Lijie, Chen, Xiaoniao, Zhang, Xiaojia, Jiang, Shuai, Wang, Kebing, Yang, Chenlong, Chen, Mingqiang, Fan, Sujie, Hu, Jianhua, Lv, Aiguo, Miao, Hui, Guo, Li, Zhang, Shujun, Pei, Cheng, Fan, Xiaojuan, Lei, Jianqin, Wei, Ting, Duan, Junguo, Liu, Chun, Xia, Xiaobo, Xiong, Siqi, Li, Junhong, Lo, Benny, Tham, Yih Chung, Wong, Tien Yin, Wang, Ningli, Yuan, Wu
We present VisionFM, a foundation model pre-trained with 3.4 million ophthalmic images from 560,457 individuals, covering a broad range of ophthalmic diseases, modalities, imaging devices, and demography. After pre-training, VisionFM provides a found
Externí odkaz:
http://arxiv.org/abs/2310.04992
Class incremental learning(CIL) has attracted much attention, but most existing related works focus on fine-tuning the entire representation model, which inevitably results in much catastrophic forgetting. In the contrast, with a semantic-rich pre-tr
Externí odkaz:
http://arxiv.org/abs/2204.03410
Publikováno v:
In Polymer 15 November 2024 313
Publikováno v:
In Journal of Ethnopharmacology 15 November 2024 334
Publikováno v:
In Engineering Applications of Artificial Intelligence January 2025 139 Part A
Publikováno v:
In Composites Communications December 2024 52