Mask-Guided RGB-D Face Recognition : Mask-Guided RGB-D Face Recognition架构包含了三个分支,分别为:RGB recognition branch, a depth map recognition branch, 和 auxiliary segmentation mask branch。整个网络使用SENet作为backbone,并且加入了空间注意力模块SAM。 在训练阶段,RGB recognition branch提取面部表示特征,...
Mask-Guided Attention Network for Occluded Pedestrian Detection Yanwei Pang1, Jin Xie1, Muhammad Haris Khan2, Rao Muhammad Anwer2, Fahad Shahbaz Khan2,3, Ling Shao2 1Tianjin University 2Inception Institute of Artificial Intelligence, UAE 3CVL, Linko¨ping University,...
In this paper, we present a novel framework called Mask-Guided Region Attention Network (MGRAN) for person ReID. MGRAN consists of two major components: Mask-guided Region Attention (MRA) and Multi-feature Alignment (MA). MRA aims to generate spatial attention masks and meanwhile mask out ...
(3) a mask-guided attention (MA) model that includes the part-aware mask-guided attention network beyond the SA model. 设计了三组消融实验,使用AUC分数和ROC曲线进行对比。 (1)基线网络ResNet50 (2)在基线网络增加soft attention (SA) model (3)在(2)的基础上增加mask-guided attention (MA) model...
First, we introduce a novel mask-guided attention network that fits naturally into popular pedestrian detection pipelines. Our attention network emphasizes on visible pedestrian regions while suppressing the occluded ones by modulating full body features. Second, we propose the occlusion-sensitive hard ...
Mask-Guided Attention Network for Occluded Pedestrian Detection. (ICCV'19) - Leotju/MGAN
MSCAN: a multi-scale context- aware network Final loss function: Loss 1 Lid(p,g)给每个person一个标签列,即多标签target,loss为为交叉熵。分为三部分 全景、body、背景。 Loss 2 Lsia为不同person全景图输出特征h(p)和h(g)的距离。仅使用图1中RGB+MASK 到 h(feature)这一条网络。
In this paper, we propose a Mask-Guided Attention module to extract more comprehensive support features for few-shot segmentation in aerial images. Taking advantage of the support ground-truth masks, the area correlated to the foreground object is highlighted and enables the support encoder to ...
3.2. Mask-guided Contrastive Attention Sub-net In general, spatial attention model is to take the on-going feature as its input and produce a weighting map to carry out spatial-wise attention across the feature map. In this way, the network could attend the exactly spatial regions on the ...
[ECCV 2022] What to Hide from Your Students: Attention-Guided Masked Image Modeling - gkakogeorgiou/attmask