Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank

17 February 2019

Papers citing "Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank"

21 / 21 papers shown

Title
CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model Dingkang Liang Jiahao Xie Zhikang Zou Xiaoqing Ye Wei Xu Xiang Bai SSL CLIP VLM 24 52 0 09 Apr 2023
Neighbourhood Representative Sampling for Efficient End-to-end Video Quality Assessment Haoning Wu Chaofeng Chen Liang Liao Jingwen Hou Wenxiu Sun Qiong Yan Jinwei Gu Weisi Lin 51 44 0 11 Oct 2022
Revisiting Crowd Counting: State-of-the-art, Trends, and Future Perspectives Muhammad Asif Khan Hamid Menouar R. Hamila HAI 21 56 0 14 Sep 2022
Semi-supervised Crowd Counting via Density Agency Hui Lin Zhiheng Ma Xiaopeng Hong Yao Wang Zhou Su OT 23 29 0 07 Sep 2022
Redesigning Multi-Scale Neural Network for Crowd Counting Zhipeng Du Miaojing Shi Jiankang Deng S. Zafeiriou 24 44 0 04 Aug 2022
Self-Supervised Light Field Depth Estimation Using Epipolar Plane Images Kunyuan Li Jun Zhang Jun Gao Meibin Qi MDE 26 5 0 29 Mar 2022
CrowdFormer: Weakly-supervised Crowd counting with Improved Generalizability Siddharth Singh Savner Vivek Kanhangad ViT 19 31 0 07 Mar 2022
BBA-net: A bi-branch attention network for crowd counting Yi Hou Chengyang Li Fan Yang Cong Ma Liping Zhu Yuan Li Huizhu Jia Xiaodong Xie 21 11 0 22 Jan 2022
Image Quality Assessment using Contrastive Learning Pavan C. Madhusudana N. Birkbeck Yilin Wang Balu Adsumilli A. Bovik SSL 16 163 0 25 Oct 2021
CCTrans: Simplifying and Improving Crowd Counting with Transformer Ye Tian Xiangxiang Chu Hongpeng Wang ViT 13 75 0 29 Sep 2021
Reducing Label Effort: Self-Supervised meets Active Learning Javad Zolfaghari Bengar Joost van de Weijer Bartlomiej Twardowski Bogdan Raducanu VLM 14 60 0 25 Aug 2021
Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation Yongtuo Liu Dan Xu Sucheng Ren Han-Zhen Wu Hongmin Cai Shengfeng He 24 10 0 06 Aug 2021
Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting Yongtuo Liu Sucheng Ren Liangyu Chai Han-Zhen Wu Jing Qin Dan Xu Shengfeng He 13 2 0 06 Aug 2021
Contrastive Learning for Unsupervised Image-to-Image Translation Hanbit Lee Jinseok Seol Sang-goo Lee VLM SSL 25 19 0 07 May 2021
Leveraging Self-Supervision for Cross-Domain Crowd Counting Weizhe Liu N. Durasov Pascal Fua 13 40 0 30 Mar 2021
Water level prediction from social media images with a multi-task ranking approach P. Chaudhary Stefano Dáronco J. Leitão K. Schindler Jan Dirk Wegner 18 46 0 14 Jul 2020
Towards Robust Pattern Recognition: A Review Xu-Yao Zhang Cheng-Lin Liu C. Suen OOD HAI 19 102 0 12 Jun 2020
CNN-based Density Estimation and Crowd Counting: A Survey Guangshuai Gao Junyu Gao Qingjie Liu Qi. Wang Yunhong Wang 13 154 0 28 Mar 2020
Self-Supervised Contextual Bandits in Computer Vision A. Deshmukh Abhimanu Kumar Levi Boyles Denis Xavier Charles Eren Manavoglu Ürün Dogan SSL 15 3 0 18 Mar 2020
AutoScale: Learning to Scale for Crowd Counting and Localization Chenfeng Xu Dingkang Liang Yongchao Xu S. Bai Wei Zhan X. Bai M. Tomizuka 19 105 0 20 Dec 2019
Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection Deepak Babu Sam Skand Peri Mukuntha Narayanan Sundararaman Amogh Kamath R. Venkatesh Babu 11 226 0 18 Jun 2019