Abstract: Tiny objects in aerial imagery usually exhibit an extremely limited number of pixels, significantly affecting the object detection model’s learning process. While existing research has ...
Deep Learning with Yacine on MSN
RMSProp optimization from scratch in Python
Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...
Official implementation of our CleanPose, the first solution to mitigate the confoundering effect in category-level pose estimation via causal learning and knowledge distillation. You can generate the ...
How-To Geek on MSN
5 things I wish I knew when I first learned programming
When I was new to programming, I focused way too much on learning the syntax, especially the brackets, the semicolons, and ...
Anyone preparing for quant interviews must develop depth across several skill areas and know how to apply theory in a practical setting.
Abstract: Task-oriented semantic communication (ToSC) enhances efficiency and performance by leveraging task-specific data representations and end-to-end learning, which are more compact and effective ...
Visual (Single) Object Tracking aims to continuously localize and estimate the scale of a target in subsequent video frames, given only its initial state in the first frame. This task can be ...
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