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...
WSDDN全称是Weakly Supervised Deep Detection Network,即弱监督深度检测网络。 只依靠image级别的label来对其训练 整个结构主要是以图像分类和目标检测这两个框架 左边是一个预训练好的CNN 右边则是一个类似FasterRCNN结构,通过感兴趣池化以及SPP空间金字塔池化,得到区域(region)级别的特征 然后分支成两个数据流,其中一...
object discovery:这类方法的目标函数是传统的基于MIL的分类loss,代表论文是Bilen等人的Weakly supervised deep detection networks,这篇论文同时也是MIL结合CNN的开山之作。 instance refinement:这类方法的目标函数除了传统的基于MIL的分类loss,还有使用MIL初步对proposals分类后送到后续的网络做bounding box回归的loss,代表...
A weakly supervised object detection approach using point annotation Authors : 姚洁茹, 韩军伟, 张鼎文 DOI : https://doi.org/10.1360/SSI-2021-0089 Article index updated : Apr 10, 2025 2 Crossref 1 CSCD Source article 1 Scopus 1858 Article access Explanation of terms and methodology Sources Cr...
Recently, weakly supervised object detection (WSOD) using only image-level labels has gained widespread attention as a cost-effective alternative. Weakly supervised object detection methods typically employ object proposals and a multiple instance learning (MIL) framework. WSDDN [21] was the first to ...
Weakly Supervised Object Detection (WSOD) is the task of training object detectors with only image tag supervisions. <span style="color:grey; opacity: 0.6">( Image credit: [Soft Proposal Networks for Weakly Supervised Object Localization](https://arxiv.
简读:Object-Aware Instance Labeling for Weakly Supervised Object Detection,程序员大本营,技术文章内容聚合第一站。
Pseudo-label enhancement for weakly supervised object detection using self-supervised vision transformer Knowledge-Based Systems Volume 311, 28 February 2025, Page 113012 Purchase options CorporateFor R&D professionals working in corporate organizations. Academic and personalFor academic or personal use only....
弱监督论文阅读《object instance mining for weakly supervised object detection》,程序员大本营,技术文章内容聚合第一站。
Recent progress in weakly supervised object detection is featured by a combination of multiple instance detection networks (MIDN) and ordinal online refinement. However, with only image-level annotation, MIDN inevitably assigns high scores to some unexpected region proposals when generating pseudo labels....