A Comparative Study on Active Learning for Object Detection

Publish Year: 1402
نوع سند: مقاله کنفرانسی
زبان: English
View: 136

This Paper With 15 Page And PDF Format Ready To Download

  • Certificate
  • من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

CECCONF19_073

تاریخ نمایه سازی: 28 خرداد 1402

Abstract:

Active learning aims to improve the performance of the task model by selecting the mostinformative samples with a limited budget. In object detection tasks, due to high cost of drawingobject bounding boxes (i.e. labeling) for millions of images, effective active learning is crucial.This paper aims to provide a description of two important recent proposed active learningmethods for object detection. Then uses ALBench, a new benchmark for evaluation of activelearning methods and compares these two methods.

Authors

AbdulAli Ahmadi

Department of Mathematics, Tarbiat Modares University, Tehran,