Dense Contrastive Learning for Self-Supervised Visual Pre-Training, Xinlong Wang, Rufeng Zhang, Chunhua Shen, Tao Kong, Lei Li In: Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2021,Oral arXiv preprint (arXiv 2011.09157) ...
UCAS, liewfeng.github.com58 人赞同了该文章 记两篇Self-Supervised Learning的新论文的阅读笔记,都中了CVPR 2021。分别是Spatially Consistent Representation Learning[1]和Dense Contrastive Learning for Self-Supervised Visual Pre-Training (Oral)[2],论文和代码链接如下 Spatially Consistent Representation Learning...
论文:https://openaccess.thecvf.com/content/CVPR2022/papers/Wu_Cross-Patch_Dense_Contrastive_Learning_for_Semi-Supervised_Segmentation_of_Cellular_Nuclei_CVPR_2022_paper.pdf 代码:https://github.com/zzw-szu/CDCL 一、 方法概述 简单地将,这篇文章就是在一个Teacher-Student的架构下解决了半监督分割问题。
.github densecl detection .gitignore LICENSE README.md denseCL.png dist_train.sh main_densecl.py main_lincls.py README Code of conduct License DenseCL: Dense Contrastive Learning for Self-Supervised Visual Pre-Training This is an unofficial PyTorch implementation of theDenseCL paper, with the...
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images, Abstract Detecting and segmenting objects within whole slide images is essential in computational pathology workow. Self-supervised learning (SSL) is appealing to such annotation-heavy tasks. Despite the extensive ...
《Regularized Densely-Connected Pyramid Network for Salient Instance Segmentation》(2021) GitHub:https:// github.com/yuhuan-wu/RDPNet《Unsupervised Contrastive Learning of Sound Event Representations》(2021) GitHub:https:// github.com/edufonseca/uclser20 [fig2]...
Xiong, L., Xiong, C., Li, Y., Tang, K.-F., Liu, J., Bennett, P., Ahmed, J., Overwijk, A.: Approximate nearest neighbor negative contrastive learning for dense text retrieval. arXiv preprint arXiv:2007.00808 (2020) Qu, Y., Ding, Y., Liu, J., Liu, K., Ren, R., Zhao...
《BNV-Fusion: Dense 3D Reconstruction using Bi-level Neural Volume Fusion》(CVPR 2022) GitHub: github.com/likojack/bnv_fusion《Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning》(CVPR 2022) GitHub: github.com/minghchen/CARL_code...
Dense contrastive learning for self-supervised visual pre-training. In Proceedings of the IEEE/CVF Con- ference on Computer Vision and Pattern Recognition, pages 3024–3033, 2021. 2, 7, 8, 11, 13 [42] Zhaoqing Wang, Qiang Li, Guoxin Zhang, Pengfei Wa...
https://github.com/WXinlong/DenseCL 方法 该研究提出的新方法 DenseCL(Dense Contrastive Learning)通过考虑局部特征之间的对应关系,直接在输入图像的两个视图之间的像素(或区域)特征上优化成对的对比(不相似)损失来实现密集自监督学习。 两种用于表征学习的对比学习范式的概念描述图。