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- research-articleOctober 2024
MMLRec: A Unified Multi-Task and Multi-Scenario Learning Benchmark for Recommendation
- Guanghu Yuan,
- Jieyu Yang,
- Shujie Li,
- Mingjie Zhong,
- Ang Li,
- Ke Ding,
- Yong He,
- Min Yang,
- Liang Zhang,
- Xiaolu Zhang,
- Linjian Mo
CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge ManagementPages 3063–3072https://doi.org/10.1145/3627673.3679691In recent years, there has been a trend in the field of recommender systems towards multi-task modeling and multi-scenario modeling. The aim is to enhance the performance of various tasks and scenarios by jointly training on multiple tasks or scenarios ...
- research-articleDecember 2022
MOT-H: A Multi-Target Tracking Dataset Based on Horizontal View
CSSE '22: Proceedings of the 5th International Conference on Computer Science and Software EngineeringPages 338–344https://doi.org/10.1145/3569966.3570064The computer vision field is quickly developing, including multiple object tracking, as the big data age approaches. The majority of the effort is focused on tracking methods while less attention is paid to the most important aspect, data. After an ...
- research-articleMarch 2012
The Action Similarity Labeling Challenge
IEEE Transactions on Pattern Analysis and Machine Intelligence (ITPM), Volume 34, Issue 3Pages 615–621https://doi.org/10.1109/TPAMI.2011.209Recognizing actions in videos is rapidly becoming a topic of much research. To facilitate the development of methods for action recognition, several video collections, along with benchmark protocols, have previously been proposed. In this paper, we ...
- research-articleAugust 1999
Multiprimitive Segmentation of Planar Curves-A Two-Level Breakpoint Classification and Tuning Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence (ITPM), Volume 21, Issue 8Pages 791–797https://doi.org/10.1109/34.784310A breakpoint classification and tuning approach is proposed for the multiprimitive segmentation of planar curves, and cockhead-like graph is suggested to evaluate the multiprimitive segmentation algorithms. The breakpoints are divided into corners and ...