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| MGML: Momentum Group Meta-Learning for Few-Shot Image Classification 期刊论文
Neurocomputing, 2022, 页码: 351-361
作者: Zhu XM(朱晓萌) ; Li SX(李书晓)
 Adobe PDF(1801Kb) |  收藏 | 浏览/下载：38/8 | 提交时间：2024/07/30
Few-shot learning Meta-learning Ensemble model Adaptive momentum update rule |
| 面向弱标签的视觉场景分割方法研究 学位论文
, 2024
作者: 李靖
Adobe PDF(15843Kb) | 收藏 | 浏览/下载：45/1 | 提交时间：2024/07/25
视觉场景分割，弱监督图像分割，交互式图像分割 |
| Towards Noiseless Object Contours for Weakly Supervised Semantic Segmentation 会议论文
, New Orleans, 2022.6.19-2022.6.24
作者: Li, Jing; Fan, Junsong; Zhang, Zhaoxiang
 Adobe PDF(2241Kb) | 收藏 | 浏览/下载：19/7 | 提交时间：2024/07/24
Segmentation, Weakly Supervised, Contour |
| Toward Human-centered XAI in Practice: A survey 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 4, 页码: 740-770
作者: Xiangwei Kong; Shujie Liu; Luhao Zhu
Adobe PDF(1550Kb) | 收藏 | 浏览/下载：25/4 | 提交时间：2024/07/18
Artificial intelligence (AI) application explainable AI (XAI) human-centered design visual computing medical diagnosis |
| TextFormer: A Query-based End-to-end Text Spotter with Mixed Supervision 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 4, 页码: 704-717
作者: Yukun Zhai; Xiaoqiang Zhang; Xiameng Qin; Sanyuan Zhao; Xingping Dong; Jianbing Shen
Adobe PDF(2312Kb) | 收藏 | 浏览/下载：26/8 | 提交时间：2024/07/18
End-to-end text spotting arbitrarily-shaped texts transformer mixed supervision multitask modeling |
| A Novel Divide and Conquer Solution for Long-term Video Salient Object Detection 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 4, 页码: 684-703
作者: Yun-Xiao Li; Cheng-Li-Zhao Chen; Shuai Li; Ai-Min Hao; Hong Qin
Adobe PDF(6454Kb) | 收藏 | 浏览/下载：28/10 | 提交时间：2024/07/18
Video salient object detection background consistency analysis weakly supervised learning long-term information background shift |
| Vision Transformers with Hierarchical Attention 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 4, 页码: 670-683
作者: Yun Liu; Yu-Huan Wu; Guolei Sun; Le Zhang; Ajad Chhatkuli; Luc Van Gool
Adobe PDF(1358Kb) | 收藏 | 浏览/下载：36/12 | 提交时间：2024/07/18
Vision transformer hierarchical attention global attention local attention scene understanding |
| Rethinking Global Context in Crowd Counting 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 4, 页码: 640-651
作者: Guolei Sun; Yun Liu; Thomas Probst; Danda Pani Paudel; Nikola Popovic; Luc Van Gool
Adobe PDF(2388Kb) | 收藏 | 浏览/下载：23/8 | 提交时间：2024/07/18
Crowd counting vision transformer global context attention density map |
| Segment Anything Is Not Always Perfect: An Investigationof SAM on Different Real-world Applications 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 4, 页码: 617-630
作者: Wei Ji; Jingjing Li; Qi Bi; Tingwei Liu; Wenbo Li; Li Cheng
Adobe PDF(11623Kb) | 收藏 | 浏览/下载：15/4 | 提交时间：2024/07/18
Segment anything model (SAM) visual perception segmentation foundational model computer vision |
| Editorial for Special Issue on Multi-modal Representation Learning 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 4, 页码: 615-616
作者: Deng-Ping Fan; Nick Barnes; Ming-Ming Cheng; Luc Van Gool
Adobe PDF(756Kb) | 收藏 | 浏览/下载：14/7 | 提交时间：2024/07/18 |
