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Paper Citation Record · LEDGER

A Unified Variational Framework for Deep Weakly Supervised Image Segmentation

As of 16 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2607.19669.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.19669 v1

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Outbound references

Observation 3f044f8c-a5a7-48d2-841b-4b5461eb1946 · outbound

This paper cites In: 2017 IEEE International Conference on Computer Vision (ICCV), pp.

A Unified Variational Framework for Deep Weakly Supervised Image Segmentation In: 2017 IEEE International Conference on Computer Vision (ICCV), pp

Reference 1

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This paper cites In: 2016 Fourth International Conference on 3D Vision (3DV), pp.

A Unified Variational Framework for Deep Weakly Supervised Image Segmentation In: 2016 Fourth International Conference on 3D Vision (3DV), pp

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This paper cites In: 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp.

A Unified Variational Framework for Deep Weakly Supervised Image Segmentation In: 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp

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This paper cites Annual Review of Biomedical Engineering2(1), 315–337 (2000).

A Unified Variational Framework for Deep Weakly Supervised Image Segmentation Annual Review of Biomedical Engineering2(1), 315–337 (2000)

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This paper cites Communications on Pure and Applied Mathematics42(5), 577–685 (1989).

A Unified Variational Framework for Deep Weakly Supervised Image Segmentation Communications on Pure and Applied Mathematics42(5), 577–685 (1989)

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A Unified Variational Framework for Deep Weakly Supervised Image Segmentation IEEE Transactions on Image Processing10(2), 266–277 (2001)

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This paper cites Mathematical Pro- ceedings of the Cambridge Philosophical Society48(1), 106–109 (1952) https: //doi.org/10.1017/S0305004100027419.

A Unified Variational Framework for Deep Weakly Supervised Image Segmentation Mathematical Pro- ceedings of the Cambridge Philosophical Society48(1), 106–109 (1952) https: //doi.org/10.1017/S0305004100027419

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This paper cites Applied and Computational Harmonic Analysis48(2), 787–794 (2020).

A Unified Variational Framework for Deep Weakly Supervised Image Segmentation Applied and Computational Harmonic Analysis48(2), 787–794 (2020)

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A Unified Variational Framework for Deep Weakly Supervised Image Segmentation In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp

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A Unified Variational Framework for Deep Weakly Supervised Image Segmentation IEEE Transactions on Pattern Analysis and Machine Intelligence40(4), 834–848 (2017)

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A Unified Variational Framework for Deep Weakly Supervised Image Segmentation In: Proceedings of the IEEE/CVF International Confer- ence on Computer Vision, pp

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A Unified Variational Framework for Deep Weakly Supervised Image Segmentation In: Proceedings of the IEEE International Conference on Computer Vision (ICCV), pp

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A Unified Variational Framework for Deep Weakly Supervised Image Segmentation In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

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A Unified Variational Framework for Deep Weakly Supervised Image Segmentation In: European Conference on Computer Vision, pp

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A Unified Variational Framework for Deep Weakly Supervised Image Segmentation IEEE Transactions on Circuits and Systems for Video Technology33(8), 3935–3946 (2023)

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A Unified Variational Framework for Deep Weakly Supervised Image Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

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A Unified Variational Framework for Deep Weakly Supervised Image Segmentation In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

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A Unified Variational Framework for Deep Weakly Supervised Image Segmentation Journal of Mathematical Imaging and Vision37(1), 49–65 (2010)

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A Unified Variational Framework for Deep Weakly Supervised Image Segmentation Journal of Visual Communi- cation and Image Representation25(5), 1136–1148 (2014)

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A Unified Variational Framework for Deep Weakly Supervised Image Segmentation Journal of Mathematical Imaging and Vision49(1), 191–201 (2014)

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A Unified Variational Framework for Deep Weakly Supervised Image Segmentation Physica Medica42, 162–173 (2017)

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A Unified Variational Framework for Deep Weakly Supervised Image Segmentation Neurocomputing623, 129395 (2025)

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A Unified Variational Framework for Deep Weakly Supervised Image Segmentation Annales de la Faculté des sciences de Toulouse : Mathématiques6, 16 (2007)

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A Unified Variational Framework for Deep Weakly Supervised Image Segmentation Journal of Computational Physics350, 657–667 (2017)

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A Unified Variational Framework for Deep Weakly Supervised Image Segmentation Journal of Mathematical Imaging and Vision64(6), 625–645 (2022)

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A Unified Variational Framework for Deep Weakly Supervised Image Segmentation In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

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Observation 954538f8-0cc2-485b-8b2c-11191acdcee6 · outbound

This paper cites Regularization of Inverse Problems.

A Unified Variational Framework for Deep Weakly Supervised Image Segmentation Regularization of Inverse Problems

Reference 38

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Observation e22c9fba-45f4-4392-acab-c0bcb1b97ee1 · outbound

This paper cites In: Proceedings of the 25th International Conference on Machine Learning, pp.

A Unified Variational Framework for Deep Weakly Supervised Image Segmentation In: Proceedings of the 25th International Conference on Machine Learning, pp

Reference 39

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Observation 7022e02e-0d70-425e-bbe0-a4cb20aefe53 · outbound

This paper cites an unresolved cited work.

A Unified Variational Framework for Deep Weakly Supervised Image Segmentation Unresolved cited work

Reference 40

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Observation 7938f82f-3bcd-417e-92eb-c546164a850a · outbound

This paper cites Advances in Neural Information Processing Systems32(2019).

A Unified Variational Framework for Deep Weakly Supervised Image Segmentation Advances in Neural Information Processing Systems32(2019)

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Observation 3dd77a27-c7ed-468d-a032-50d68f19181e · outbound

This paper cites Remote Sensing of Environment210, 113–143 (2018).

A Unified Variational Framework for Deep Weakly Supervised Image Segmentation Remote Sensing of Environment210, 113–143 (2018)

Reference 42

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Observation b3ca858d-71e9-478f-b1cb-a0ab4b4509ea · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence38(4), 717–729 (2015).

A Unified Variational Framework for Deep Weakly Supervised Image Segmentation IEEE Transactions on Pattern Analysis and Machine Intelligence38(4), 717–729 (2015)

Reference 43

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Observation fcbc6bb3-68c8-4617-ac9a-c89fab0d26de · outbound

This paper cites http://www.pascal- network.org/challenges/VOC/voc2012/workshop/index.html.

A Unified Variational Framework for Deep Weakly Supervised Image Segmentation http://www.pascal- network.org/challenges/VOC/voc2012/workshop/index.html

Reference 44

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Observation 083619ad-694a-47a7-8f69-d5440d36dbc5 · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.

A Unified Variational Framework for Deep Weakly Supervised Image Segmentation In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 45

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Observation 75129d81-39f0-4b38-b2ee-34885f80d49b · outbound

This paper cites Adam: A Method for Stochastic Optimization.

A Unified Variational Framework for Deep Weakly Supervised Image Segmentation Adam: A Method for Stochastic Optimization

Reference 46

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Observation 5db238e0-9079-46d9-a36e-2f373326c67e · outbound

This paper cites Transactions of the American Mathematical Society68(3), 337–404 (1950).

A Unified Variational Framework for Deep Weakly Supervised Image Segmentation Transactions of the American Mathematical Society68(3), 337–404 (1950)

Reference 47

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Observation 7b8edb11-60fe-48e1-b52a-61f870b0dd59 · outbound

This paper cites reproducing kernel.

A Unified Variational Framework for Deep Weakly Supervised Image Segmentation reproducing kernel

Reference 48

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Pith citing papers

No inbound Pith citation observations are available.