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Diffusion Models for Time Series Applications: A Survey
Diffusion models, a family of generative models based on deep learning, have become increasingly prominent in cutting-edge machine learning research.
DSRRTracker: Dynamic Search Region Refinement for Attention-based Siamese Multi-Object Tracking
Many multi-object tracking (MOT) methods follow the framework of "tracking by detection", which associates the target objects-of-interest based on the detection results.
MM-FSOD: Meta and metric integrated few-shot object detection
In this paper, we present an effective object detection framework (MM-FSOD) that integrates metric learning and meta-learning to tackle the few-shot object detection task.
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