发表时间:05 January 2024 作者:Yanming Hui;Jue Wang;Bo Li DOI:10.1109/TIM.2024.3350120 期刊:IEEE Transactions on Instrumentation and Measurement(Volume: 73) 论文链接:WSA-YOLO: Weak-Supervised and Adaptive Object Detection in the Low-Light Environment for YOLOV7 | IEEE Journals & Magazine | IEEE ...
之后给出了他的实现方法,总的来说这篇文章结合了(1)知识蒸馏(2)半监督学习(3)模型噪音以及数据噪音 ,想要了解基础知识的可以先看博客:知识蒸馏(Knowledge Distillation)、半监督学习(semi-supervised learning)以及弱监督学习(weak-supervised learning) 总结 模型压缩一-知识蒸馏 开山之作 知识蒸馏的开山之作是...
Weak-Supervised Attention Fusion Network forCarotid Artery Vessel Wall Segmentationdoi:10.1007/978-3-031-72378-0_33The automatic and accurate segmentation of the carotid artery vessel wall can assist doctors in clinical diagnosis. Medical images often have complex and blurry features, which makes ...
Self-supervised and Weak-supervised techniques to improve Hateful Memes Detection 来自 ResearchGate 喜欢 0 阅读量: 51 作者:D Saha,P Saha,B Mathew,M Das,A Mukherjee 摘要: Internet memes have become a tool for social media users to participate actively and discursively in the digital public ...
A weakly-supervised scene graph generation codebase. The implementation of our CVPR2021 paper ``Linguistic Structures as Weak Supervision for Visual Scene Graph Generation'' - yekeren/WSSGG
This paper introduces WeakSAM and solves the weakly-supervised object detection (WSOD) and segmentation by utilizing the pre-learned world knowledge contained in a vision foundation model, i.e., the Segment Anything Model (SAM). WeakSAM addresses two critical limitations in traditional WSOD ...
论文笔记 - Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation MartinHou 我心怀梦想,待其完成之日,定将述其与诸君共勉1. 提纲 半监督学习(Semi - Supervision Learning, SSL) 语义分割(Semantic Segmentation) 这篇文章基于 FixMatch 框架的强弱扰动原理,为保证有更为广泛的扰动空间的同...
HAMCap: A Weak-Supervised Hybrid Attention-Based Capsule Neural Network for Fine-Grained Climate Change Debate Analysis. Big Data Cogn. Comput. 2023, 7, 166. https://doi.org/10.3390/bdcc7040166 AMA Style Xiang K, Fujii A. HAMCap: A Weak-Supervised Hybrid Attention-Based Capsule Neural ...
Strongly Supervised Mitosis Detection In Breast Histopathology Images Using Weak Labels 来自 掌桥科研 喜欢 0 阅读量: 40 作者:Z Wu,R Shen,J Huang,L Wang,J Yao 摘要: Mitosis detection plays an import role in tumor grading of breast cancer. Automatic mitosis detection liberates pathologists from ...
To overcome the severe requirements on RoIs annotations, in this paper, we propose a novel self-supervised learning mechanism to effectively discover the informative RoIs without the need of extra knowledge and precise annotation — only image-level weak annotation is all we take. Our model, ...