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1. FDASS FDASS Public

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2. ACDT ACDT Public

   This is the codes of ICCV workshop paper "How to Fully Exploit The Abilities of Aerial Image Detectors". Our model is based on detectron.pytorch.

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3. Gradient_descent Gradient_descent Public

   题目描述： 1.Generate n = 2,000 points uniformly at random in the two-dimensional unit square.Which point do you expect the centroid to be? 2.What objective does the centroid of the points optimize? 3.A…

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4. drone-object-detection drone-object-detection Public

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5. Few-shot-domain-adaptation Few-shot-domain-adaptation Public

   This is the codes of iccv workshop paper "Few-Shot Structured Domain Adaptation for Virtual-to-Real Scene Parsing"

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6. faster_rcnn-opencv_-visualization faster_rcnn-opencv_-visualization Public

   A little change has been made to the visual parts of the faster_rcnn (pytorch) version of demo.py. The original code is to use Matplotlib to show every object in one picture in different picture. …

   Jupyter Notebook 1 1