Small Object Detection using Context and Attention 论文阅读笔记 出处:2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Jeju Island, Korea 一、介绍 目标检测算法在各种环境下的应用存在许多局限性,特别是检测小物体仍然具有挑战性,因为它们的分辨率低,信息有限。 文章...
SSD检测小目标性能巨低的原因作者认为有两个:缺少背景信息去检测小目标;检测用的特征层来自浅层,缺少高级语义信息。 3.2. F-SSD: SSD with context by feature fusion 目标特征层是conv4,辅助特征层是conv7与conv8。conv7与conv8经过融合模块处理后才能与conv4拼接。并且FSSD中conv4会经过额外处理再与其他两层拼...
There are many limitations applying object detection algorithm on various environments. Specifically, detecting small objects is still challenging because they have low-resolution and limited information. We propose an object detection method using context for improving accuracy of detecting small objects. ...
We propose an object detection method using context for improving accuracy of detecting small objects. The proposed method uses additional features from different layers as context by concatenating multi-scale features. We also propose object detection with attention mechanism which can focus on the ...
Lim J-S, Astrid M, Yoon H-J, Lee S-I (2021) Small object detection using context and attention. In: 2021 International conference on artificial intelligence in information and communication (ICAIIC). IEEE, pp 181–186 Wu X, Hong D, Chanussot J (2022) Uiu-net: U-net in u-net for ...
MRFENet aims to obtain rich context information by expanding the receptive field. The model detects the small object using contextual cues from the deep layers and rich, detailed information from the shallow layers. Compared to previous works, the multilevel receptive field structure of MRFENet ...
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【基于上下文与注意力的小目标检测】Small Object Detection using Context and Attention 的信息,使得检测器可以更好地检测对象。 第二,为了专注于小对象,作者在早期层使用了一种注意力机制。这也有助于减少背景中不必要的浅层特征信息。在作者的实验中,作者选择SSD作为基线。然而,这个想法可以...特征融合来获取上下...
Lee, Small object detection using context and attention, arXiv preprint... M. Kisantal, Z. Wojna, J. Murawski, J. Naruniec, K. Cho, Augmentation for small object... S. Zhang et al. S3fd: Single shot scale-invariant face detectorView more references Cited by (26) Discriminative ...
In addition, the current ideas to optimize small object detection also include data enhancement [19], feature fusion [20,21], using context information [22,23], appropriate training methods [24], more denser anchor sampling and matching strategy [25,26]. This paper mainly researches two ...