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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Splitting Vs. Merging: Mining Object Regions with Discrepancy and Intersection Loss for Weakly Supervised Semantic Segmentation
Tianyi Zhang, Guosheng Lin, Weide Liu, et al.
Lecture notes in computer science (2020), pp. 663-679
Closed Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation
Seungho Lee, Minhyun Lee, Jongwuk Lee, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 186
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation
Jungbeom Lee, Eunji Kim, Sungroh Yoon
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 185
Hypercorrelation Squeeze for Few-Shot Segmenation
Juhong Min, Dahyun Kang, Minsu Cho
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Closed Access | Times Cited: 181
Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation
Yazhou Yao, Tao Chen, Guo-Sen Xie, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 2623-2632
Open Access | Times Cited: 170
Multi-class Token Transformer for Weakly Supervised Semantic Segmentation
Lian Xu, Wanli Ouyang, Mohammed Bennamoun, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 166
Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation
Zhaozheng Chen, Tan Wang, Xiongwei Wu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 959-968
Open Access | Times Cited: 139
Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation
Lian Xu, Wanli Ouyang, Mohammed Bennamoun, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 131
Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast
Ye Du, Zehua Fu, Qingjie Liu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 108
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations
Sheng Liu, Kangning Liu, Weicheng Zhu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 2596-2606
Open Access | Times Cited: 76
Learning Meta-class Memory for Few-Shot Semantic Segmentation
Zhonghua Wu, Xiangxi Shi, Guosheng Lin, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 497-506
Open Access | Times Cited: 101
Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation
Bingfeng Zhang, Jimin Xiao, Jianbo Jiao, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) Vol. 44, Iss. 11, pp. 8082-8096
Open Access | Times Cited: 100
Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation
Yukun Su, Ruizhou Sun, Guosheng Lin, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 97
Looking Beyond Single Images for Weakly Supervised Semantic Segmentation Learning
Wenguan Wang, Guolei Sun, Luc Van Gool
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 46, Iss. 3, pp. 1635-1649
Closed Access | Times Cited: 61
Hypercorrelation Squeeze for Few-Shot Segmentation
Juhong Min, Dahyun Kang, Minsu Cho
arXiv (Cornell University) (2021)
Open Access | Times Cited: 56
Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentation
Tao Chen, Yazhou Yao, Lei Zhang, et al.
IEEE Transactions on Multimedia (2022) Vol. 25, pp. 1727-1737
Open Access | Times Cited: 53
Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation
Zesen Cheng, Pengchong Qiao, Kehan Li, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 30
Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic Segmentation
Tao Chen, Yazhou Yao, Jinhui Tang
IEEE Transactions on Image Processing (2023) Vol. 32, pp. 2960-2971
Open Access | Times Cited: 24
MCTformer+: Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation
Lian Xu, Mohammed Bennamoun, Farid Boussaïd, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 8380-8395
Open Access | Times Cited: 11
Max Pooling with Vision Transformers Reconciles Class and Shape in Weakly Supervised Semantic Segmentation
Simone Rossetti, Damiano Zappia, Marta Sanzari, et al.
Lecture notes in computer science (2022), pp. 446-463
Closed Access | Times Cited: 37
Towards Noiseless Object Contours for Weakly Supervised Semantic Segmentation
Jing Li, Junsong Fan, Zhaoxiang Zhang
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 16835-16844
Closed Access | Times Cited: 30
Enhanced Pseudo-Label Generation With Self-Supervised Training for Weakly- Supervised Semantic Segmentation
Zhen Qin, Yujie Chen, Guosong Zhu, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2024) Vol. 34, Iss. 8, pp. 7017-7028
Closed Access | Times Cited: 6
Discrepant multiple instance learning for weakly supervised object detection
Wei Gao, Fang Wan, Jun Yue, et al.
Pattern Recognition (2021) Vol. 122, pp. 108233-108233
Closed Access | Times Cited: 37
Few-Shot Segmentation With Optimal Transport Matching and Message Flow
Weide Liu, Chi Zhang, Henghui Ding, et al.
IEEE Transactions on Multimedia (2022) Vol. 25, pp. 5130-5141
Open Access | Times Cited: 26
Credible Dual-Expert Learning for Weakly Supervised Semantic Segmentation
Bingfeng Zhang, Jimin Xiao, Yunchao Wei, et al.
International Journal of Computer Vision (2023) Vol. 131, Iss. 8, pp. 1892-1908
Closed Access | Times Cited: 14
Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation
Zhonghua Wu, Yicheng Wu, Guosheng Lin, et al.
Lecture notes in computer science (2022), pp. 78-96
Closed Access | Times Cited: 22
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