Exploring Memory Enhanced Global Local Aggregation For Video Object Detection
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- The spotlight
- Authors: Zihang Lai, Erika Lu, Weidi Xie Description: Recent interest in self-supervised dense
- Vision language models like Gemma 4 are great at understanding images but terrible at counting
- Authors: Qi Fan, Wei Zhuo, Chi-Keung Tang, Yu-Wing Tai Description: Conventional methods for
- A demo of CVPR 2024 paper RMem: Restricted
In-Depth Information on Memory Enhanced Global Local Aggregation For Video Object Detection
Learn all the ways Microsoft is a part of CVPR 2020: https://www.microsoft.com/en-us/research/event/cvpr-2020/ Authors: Jiaxu Miao, Yunchao Wei, Yi Yang Description: Interactive Flow-Guided Feature Aggregation for Video Object Detection Introducing YOLOv8, the latest addition to the
[CVPR 2022] Implicit Motion Handling for
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