Active learning for Object Detection 检测一般先对 instance (比如 anchor 输出)进行打分,通过 score aggregation 方法得到图片级别的分数,一般 aggregation 方式:max/avereage/sum 1.Active Learning for Deep Object Detection 通过对每个检测框的 margin sampling 进行 aggregation 来得到最终的结果 实验上来看大部分比...
Existing approaches mitigate this issue via active learning or semi-supervised learning, but there is still room for improvement. In this paper, we propose a novel active learning method for deep object detection that fully exploits unlabeled data by combining the benefits of active learning and ...
Active Learning for Deep Object DetectionClemens-Alexander Brust 1 , Christoph Käding 1,2 and Joachim Denzler 1,21 Computer Vision Group, Friedrich Schiller University Jena, Germany2 Michael Stifel Center Jena, Germany{f author, s author}@uni-jena.deKeywords: Active Learning, Deep Learning, ...
Deep Active Learning in the Presence of Label Noise: A Survey Link Active Learning with Neural Networks: Insights from Nonparametric Statistics Towards Robust Deep Active Learning for Scientific Computing Deep active learning for object detection Deep Active Learning for Axon-Myelin Segmentation on Histolo...
Active Learning for Deep Object Detection via Probabilistic Modeling Active learning aims to reduce labeling costs by selecting only the most informative samples on a dataset. Few existing works have addressed active learnin... J Choi,I Elezi,HJ Lee,... 被引量: 0发表: 2021年 Active and Semi...
【Bayesian Generative Active Deep Learning】—https://arxiv.org/abs/1904.11643 Core-set 【Active Learning for Convolutional Neural Networks: A Core-Set Approach】—https://openreview.net/forum%3Fid%3DH1aIuk-RW LLAL 【Learning Loss for Active Learning】—https://arxiv.org/abs/1905.03677%3Fcontex...
Bayesian Generative Active Deep Learning https://arxiv.org/abs/1904.11643 Core-set Active Learning for Convolutional Neural Networks: A Core-Set Approach https://openreview.net/forum?id=H1aIuk-RW LLAL Learning Loss for Active Learning https://arxiv.org/abs/1905.03677?context=cs.CV ...
Contrastive Coding for Active Learning Under Class Distribution Mismatch:https://openaccess.thecvf.com/content/ICCV2021/html/Du_Contrastive_Coding_for_Active_Lea 基于以下假设:标记数据和未标记数据是从同一类分布中获得的,主动学习 (AL) 是成功的。然而,它的性能在类别分布不匹配的情况下会恶化,其中未标记...
Code for "Active Learning for Deep Object Detection" - GitHub - cvjena/cn24-active: Code for "Active Learning for Deep Object Detection"
Localization-Aware Active Learning for Object Detection (ACCV, 2018) 这篇文章是一篇比较经典的 Active Learning 应用于图像识别中Object Detection tasks。文章发在18年的 ACCV ,目前引量13,干货很多,想法很不错。 问题背景 在训练目标识识别任务时,需要大量的有标记数据,然而这些标记往往是昂贵或时间开销极大的,...