Apparatuses, systems, and techniques to detect object in images including digital representations of those objects. In at least one embodiment, one or more objects are detected in an image based, at least in part, on one or more pseudo-labels corresponding to said one or more objects.Zhiding...
In recent years, weakly supervised object detection has attracted more and more researchers' attention in the field of computer vision and machine learning. Point annotation is one kind of weak annotation, which manually assigns an annotation on a point that belongs to an object. In the past few...
Weakly Supervised Object Detection 本文首发于GiantPandaCV公众号 摘要 近些年来,因为弱监督目标检测仅需要图片分类级别的label受到了人们广泛的关注,其代价是准确率一定程度的下降。本文提出了一个简单而有效的弱监督协作目标检测框架,基于共享部分特征,增强预测相关性来同时训练强,弱监督两个检测网络。弱监督目标检测网络...
Weakly supervised object detection has attracted great attention in the computer vision community. Although numerous deep learning-based approaches have been proposed in the past years, such an ill-posed problem is still challenging and the learning performance is behind the expectation. Most of the ...
Is object localization for free?-weakly-supervised learning with convolutional neural networks[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2015: 685-694. [2] Felzenszwalb P, McAllester D, Ramanan D. A discriminatively trained, multiscale, deformable part ...
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Weakly Supervised Object Detection With Segmentation Collaboration Xiaoyan Li1,2 Meina Kan1,2 Shiguang Shan1,2,3 Xilin Chen1,2 1Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China...
<p indent="0mm">To reduce the dependence of salient object detection on pixel-level labels, we propose a weakly supervised salient object detection method based on image semantics. Using the combined model of the fish network and the attention mechanism,
In this work a novel approach for weakly supervised object detection that incorporates pointwise mutual information is presented. A fully convolutional neural network architecture is applied in which the network learns one filter per object class. The resulting feature map indicates the location of obje...
前言:《Weakly Supervised 3D Object Detection from Lidar Point Cloud》(WS3D) ECCV20录用的一篇文章,后面扩展出一篇TPAMI,我在这里就合并两篇文章一起整理介绍了。 北京理工的一位在读博士。 论文地址: h…