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Paper Citation Record · LEDGER

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation

As of 19 August 2026, this Paper Citation Record lists 84 of 84 outbound references and 0 inbound Pith citation observations for arXiv:2607.21371.

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

pith.paper-citation-record.v1
2607.21371 v1

Coverage vector

measured 84 of 84 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T07:40:23.337337Z

measured 84 of 84 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

84 of 84 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved84
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 72f4209d-6301-45ec-8a67-ddcf49284b81 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recog- nition.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recog- nition

Reference 1

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Observation 38193678-aff8-46ca-8511-cbf137a8ae3f · outbound

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

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 2

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Observation b91ae615-acaf-4026-a985-5ee5537c1b89 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 3

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Observation 1aa63614-1cc4-48b4-ad17-a1ad8120a89b · outbound

This paper cites In: International conference on machine learning.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: International conference on machine learning

Reference 4

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Observation 1ba5e5de-c7e6-4a60-891d-65d92f5d3b9f · outbound

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

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 5

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Observation 8548f69e-de82-4d7f-9d8c-d93376b13b70 · outbound

This paper cites In:ProceedingsoftheIEEEconferenceoncomputervisionandpatternrecognition.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In:ProceedingsoftheIEEEconferenceoncomputervisionandpatternrecognition

Reference 6

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Observation 32d66f3b-045b-4664-9956-cb43c813e0d1 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 7

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Observation a24bb0e0-1a42-48c7-987c-2a78147ca70e · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 8

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Observation 615382c0-bd3d-4bc6-ba71-19bbae663c45 · outbound

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

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 9

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Observation b516a120-c5d0-4569-b79e-b083ea08afe4 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 10

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Observation 8d702406-bc79-465d-9b9c-e229683bb340 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 11

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Observation 82de1b5a-5ff4-47c9-aab2-8c76b48e7212 · outbound

This paper cites In: Proceedings of the European conference on computer vision (ECCV).

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceedings of the European conference on computer vision (ECCV)

Reference 12

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Observation efcf5ea3-c817-4ea7-b856-6c25a23f1be8 · outbound

This paper cites Advances in neural information processing systems31(2018).

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation Advances in neural information processing systems31(2018)

Reference 13

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Observation 5d6bf94b-8846-442c-bad4-d1f5b74f77d8 · outbound

This paper cites Microsoft COCO Captions: Data Collection and Evaluation Server.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation Microsoft COCO Captions: Data Collection and Evaluation Server

Reference 14

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Observation 1c14e3a0-e4d4-4be9-b17c-f75cb650d9a5 · outbound

This paper cites Advances in neural information processing systems34, 17864–17875 (2021).

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation Advances in neural information processing systems34, 17864–17875 (2021)

Reference 15

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Observation 5a062388-6299-454b-9893-98e048352b19 · outbound

This paper cites In: European Conference on Computer Vision.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: European Conference on Computer Vision

Reference 16

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Observation cbc16b31-85b8-4498-9ca1-cb78ccdcb4e5 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 17

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Observation dfefadaf-a863-4de0-82ef-4c82b927f3d0 · outbound

This paper cites Vision Transformers Need Registers.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation Vision Transformers Need Registers

Reference 18

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Observation 31b5c7d1-e777-40d9-b461-9a73f1ff60ad · outbound

This paper cites Advances in neural information processing systems32(2019).

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation Advances in neural information processing systems32(2019)

Reference 19

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Observation 5e1b6986-d8a4-44e7-b87c-2d1ac0378418 · outbound

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DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation Unresolved cited work

Reference 20

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Observation 61efe6ec-ec09-4db4-872a-3e2e77fbd26f · outbound

This paper cites OV-COAST: Cost Aggregation with Optimal Transport for Open-Vocabulary Semantic Segmentation.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation OV-COAST: Cost Aggregation with Optimal Transport for Open-Vocabulary Semantic Segmentation

Reference 21

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Observation 878f6313-20c0-4076-8f6a-34249dc2f6df · outbound

This paper cites In: European conference on computer vision.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: European conference on computer vision

Reference 22

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Observation b058c95d-4eaf-4e71-91b5-fde51487969a · outbound

This paper cites In: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

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Observation a6305e01-b267-45b6-adea-e50d7f7c1d49 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 24

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Observation a878428a-34ab-407c-8ebb-85aea571e493 · outbound

This paper cites In: European Conference on Computer Vision.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: European Conference on Computer Vision

Reference 25

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Observation e04091dd-72fe-4c7e-978f-33492d580ab0 · outbound

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

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

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Observation b88ef087-344f-42c4-bde5-beacb9f5c599 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceedings of the IEEE/CVF international conference on computer vision

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This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceedings of the IEEE/CVF international conference on computer vision

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Observation 1548cd1c-95f8-4160-a21b-40fd11b12213 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 29

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Observation 39976649-810e-4e0a-9893-6c5f41dd5011 · outbound

This paper cites In: European Conference on Computer Vision.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: European Conference on Computer Vision

Reference 30

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This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 31

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This paper cites In: European Conference on Computer Vision.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: European Conference on Computer Vision

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DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: European Conference on Computer Vision

Reference 33

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This paper cites In: International Conference on Learning Representations (2022),https://openreview.net/forum?id=RriDjddCLN.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: International Conference on Learning Representations (2022),https://openreview.net/forum?id=RriDjddCLN

Reference 34

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Observation 334c2309-876d-4ad6-b458-c8da357b4eda · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recog- nition.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recog- nition

Reference 35

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Observation 1db39108-6435-4de1-8dd7-51e82fe2706e · outbound

This paper cites In: European conference on computer vision.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: European conference on computer vision

Reference 36

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DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation Flow Matching for Generative Modeling

Reference 37

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This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

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Observation 6df66102-c0a8-491b-b7fb-b84257f0d326 · outbound

This paper cites Advances in Neural Information Processing Systems33, 17548–17558 (2020).

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation Advances in Neural Information Processing Systems33, 17548–17558 (2020)

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Observation 560928b5-c6e2-4ac4-b0e3-23616809c667 · outbound

This paper cites In: International Conference on Machine Learning.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: International Conference on Machine Learning

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

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 41

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This paper cites Advances in neural information processing systems33, 2503–2515 (2020).

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation Advances in neural information processing systems33, 2503–2515 (2020)

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This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 43

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Observation cbf6f60a-19a8-4654-a14c-47ead2cc3b38 · outbound

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

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 44

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Observation 7c712ee4-e3b5-46ca-bd55-e517a6413c94 · outbound

This paper cites V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning

Reference 45

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Observation f83c0834-f7f9-4ac1-b9a0-03404430ce05 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation DINOv2: Learning Robust Visual Features without Supervision

Reference 46

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Observation d7b52e03-8e32-4903-8b93-796045b78819 · outbound

This paper cites In: International conference on machine learning.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: International conference on machine learning

Reference 47

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Observation e51f63b0-8dd3-43f4-9036-bd7062daae27 · outbound

This paper cites In: Inter- national conference on machine learning.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Inter- national conference on machine learning

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Observation 3d1b7e0b-b6bc-42d5-85db-ff7d8f8ce89c · outbound

This paper cites In: International Conference on Medical image computing and computer-assisted intervention.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: International Conference on Medical image computing and computer-assisted intervention

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Observation 365b4457-32a1-46ab-896d-eaa8fce26182 · outbound

This paper cites In: Proceed- ings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceed- ings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Reference 50

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Observation c6430f8d-5115-4dd5-a71d-0506b845fd66 · outbound

This paper cites Advances in Neural Information Processing Systems35, 33754–33767 (2022).

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation Advances in Neural Information Processing Systems35, 33754–33767 (2022)

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Observation cee11d61-f7d9-410b-9c72-da34172b2584 · outbound

This paper cites Localizing Objects with Self-Supervised Transformers and no Labels.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation Localizing Objects with Self-Supervised Transformers and no Labels

Reference 52

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Observation b6e87052-92fa-474f-a502-e5676dedc8f5 · outbound

This paper cites DINOv3.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation DINOv3

Reference 53

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Observation 3f5776ae-c8cc-4b0a-ad47-6200b5714390 · outbound

This paper cites In: proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 54

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Observation 7c08d5da-9ca6-4d65-bde9-304688b424e6 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence (2024).

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation IEEE Transactions on Pattern Analysis and Machine Intelligence (2024)

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Observation bd74770f-1225-4426-8a6f-8e1b3ad02411 · outbound

This paper cites In: Proceed- ings of the IEEE/CVF International Conference on Computer Vision.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceed- ings of the IEEE/CVF International Conference on Computer Vision

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Observation 0e014fe4-6bee-4761-be9c-8f3329f8849b · outbound

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

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 57

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This paper cites In: European conference on computer vision.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: European conference on computer vision

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Observation a0532b57-21ab-4c65-a602-65015e16509b · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence45(12), 15790–15801 (2023).

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation IEEE transactions on pattern analysis and machine intelligence45(12), 15790–15801 (2023)

Reference 59

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Observation e0598853-8b68-459d-9912-e0b6acfcc8f6 · outbound

This paper cites an unresolved cited work.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation Unresolved cited work

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Observation fc690a68-3acb-437e-8e22-f540e1b7f615 · outbound

This paper cites In: European Conference on Computer Vision.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: European Conference on Computer Vision

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Observation 5028f612-5369-4b2b-afae-ec1729c461b2 · outbound

This paper cites Advances in neural information processing systems34, 12077–12090 (2021).

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation Advances in neural information processing systems34, 12077–12090 (2021)

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This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 63

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Observation 9fadf9cc-636d-4bdc-9544-a4de39e53d59 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

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Observation d093b7b9-0e96-4b30-8d8c-6fb88e876172 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 65

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DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recog- nition

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Observation 0cfcfd22-4bb9-489b-80b4-181cb48dc248 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

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Observation 56fb6e76-1627-4eea-a75a-f9a6d967f0ff · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

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Observation 2ac74284-a36f-45fe-8383-e40131f107cd · outbound

This paper cites In: European conference on computer vision.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: European conference on computer vision

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Observation 63b93f90-8378-475b-a8db-a1ca9f8eee05 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

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Observation 39adc645-8ba7-413b-86af-d58fcc3fc85a · outbound

This paper cites In: European conference on computer vision.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: European conference on computer vision

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Observation e0b7bf65-e8a7-4282-961f-338ba6ef7108 · outbound

This paper cites In: European Conference on Computer Vision.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: European Conference on Computer Vision

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Observation 17157c53-b5ef-4bd2-90ca-89962fa27f38 · outbound

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

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

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Observation f99400db-bbc3-460a-a2bf-f254fe966658 · outbound

This paper cites In: European conference on computer vision.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: European conference on computer vision

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Observation e2201288-a6c1-457e-ab9d-24013a43a91a · outbound

This paper cites Advances in Neural Information Processing Systems36, 32215–32234 (2023).

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation Advances in Neural Information Processing Systems36, 32215–32234 (2023)

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DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceedings of the IEEE/CVF international conference on computer vision

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DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation Unresolved cited work

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Reference 79

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DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation Unresolved cited work

Reference 80

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DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation International journal of computer vision127(3), 302–321 (2019)

Reference 81

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DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: European conference on computer vision

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DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 83

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DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation In: Proceed- ings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 84

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