We present a qualitative tracking performance evaluation algorithm without ground-truth, where several representative frames are automatically selected and ...
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We present a qualitative tracking performance evalua- tion algorithm without ground-truth, where several repre- sentative frames are automatically selected ...
Jan 14, 2023 · Without ground truth it is very difficult to assess the accuracy and performance of a tracking algorithm. Maybe it is possible via methods based ...
Missing: Qualitative | Show results with:Qualitative
Performance Evaluation of Multi-target Tracking Without ...
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We present a qualitative tracking performance evaluation algorithm without ground-truth, where several representative frames are automatically selected and ...
This paper proposes a novel tool that enables image processing researchers to test the performance of tracking algorithms without resorting to hand-labeled ...
Sep 18, 2023 · Evaluating machine learning or deep learning models without ground truth requires creativity and a deep understanding of both the data and the ...
Missing: Tracking | Show results with:Tracking
Oct 22, 2024 · In this paper we propose a novel tool that enables image processing researchers to test the performance of tracking algorithms without resorting ...
Jan 1, 2024 · In this article, we will explore some methods and challenges of evaluating algorithm performance when the ground truth is unknown.
Missing: Tracking | Show results with:Tracking
Mar 31, 2022 · In your scenario there's no other way: the only way to properly evaluate on some live data is to have a sample of live data annotated.
Missing: Qualitative Tracking
May 12, 2022 · We look into an approach that can help us to estimate the performance of an ML model, even when we do not have the ground truth information.
Missing: Qualitative Tracking