论文链接:WSA-YOLO: Weak-Supervised and Adaptive Object Detection in the Low-Light Environment for YOLOV7 | IEEE Journals & Magazine | IEEE Xplore 摘要: 在弱光条件下,检测场景可能很粗糙,目标的一些基本图像特征会丢失,从而导致被测物体的基本视觉特征消失。他们未能平衡弱光图像和正常图像的低级语义信息之...
Weakly-supervised object detection (WSOD) aims to train an object detector only requiring the image-level annotations. Recently, some works have managed to select the accurate boxes generated from a well-trained WSOD network to supervise a semi-supervised detection framework for better performance. ...
2. Weakly Supervised Salient Object Detection Using Image Labels 本文是做弱监督的显著性检测，采用了迭代的方法。做法上感觉没有特别多可以借鉴的地方，所以没有仔细看。3. Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features 1. Weakly Supervised Instance Segmentati...
5. Yuanyi Zhong, Jianfeng Wang, Jian Peng, Lei Zhang, “Boosting weakly supervised object detection with progressive knowledge transfer”, ECCV, 2020.// 关于作者 牛力 牛力，现为上海交通大学电子信息与电气工程学院计算机科学与工程系长聘教轨副教授，所在BCMI实验室视觉团队的工作主要集中于弱监督学习和...
Yan Liu, Zhijie Zhang, Li Niu, Junjie Chen, Liqing Zhang, "Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity", NeurIPS, 2021. Li Niu, "Weak Novel Categories without Tears: A Survey on Weak-Shot Learning", arXiv preprint arXiv:2110.02651, 2021. Yuanyi Zhong...
Li Niu, "Weak Novel Categories without Tears: A Survey on Weak-Shot Learning", arXiv preprint arXiv:2110.02651, 2021. Yuanyi Zhong, Jianfeng Wang, Jian Peng, Lei Zhang, "Boosting weakly supervised object detection with progressive knowledge transfer", ECCV, 2020. ・IP 属地上海...
2. Weakly Supervised Salient Object Detection Using Image Labels 本文是做弱监督的显著性检测,采用了迭代的方法。做法上感觉没有特别多可以借鉴的地方,所以没有仔细看。 pipeline 3. Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features ...
In order to tackle this challenge, we propose a reinforced weakly-supervised fake news detection framework, i.e., WeFEND, which can leverage users' reports as weak supervision to enlarge the amount of training data for fake news detection. The proposed framework consists of three main components...
Weakly supervised visual recognition using inexact supervision is a critical yet challenging learning problem. It significantly reduces human labeling costs and traditionally relies on multi-instance learning and pseudo-labeling. This paper introduces WeakSAM and solves the weakly-supervised object detection ...
弱监督目标检测简要介绍(A brief introduction to weakly supervised object detection) Hunterj Lin Stay Hungry. Stay Foolish. Hunterj Lin: 一、Introduction 弱监督目标检测的目的是在仅有图像类别(image level)的标注情况下,训练一个目标检测器,它不同于需要实例级别(instance level,需要标注图像中物体的最大外...