Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation | Paper Citation Record

Observation dab2c311-0762-4ffb-8dfd-802c064a4e5a · outbound

This paper cites Dual-level masked semantic inference for semi-supervised semantic segmentation,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Dual-level masked semantic inference for semi-supervised semantic segmentation,

Reference 1

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Observation f9f5691a-0948-49f2-bad9-c264752ce197 · outbound

This paper cites Frequency-guided spatial adaptation for camouflaged object detection,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Frequency-guided spatial adaptation for camouflaged object detection,

Reference 2

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Observation 8dd92db1-761f-4b90-8ad2-a2d2e52a5497 · outbound

This paper cites Clustering propagation for universal medical image segmentation,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Clustering propagation for universal medical image segmentation,

Reference 3

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Observation ffb76017-dd2b-4c3e-baef-703c996742fb · outbound

This paper cites DDF: A novel dual-domain image fusion strategy for remote sensing image semantic segmentation with unsupervised domain adaptation,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation DDF: A novel dual-domain image fusion strategy for remote sensing image semantic segmentation with unsupervised domain adaptation,

Reference 4

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Observation 6958b23d-4078-4cc3-95f7-4ca2e68a44f5 · outbound

This paper cites Vanishing- point-guided video semantic segmentation of driving scenes,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Vanishing- point-guided video semantic segmentation of driving scenes,

Reference 5

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Observation ec09b8e5-592f-4bc8-90eb-7edb5a1990c0 · outbound

This paper cites Towards robust semi-supervised distribution alignment against label distribution shift with noisy annotations,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Towards robust semi-supervised distribution alignment against label distribution shift with noisy annotations,

Reference 6

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Observation 61818604-8926-4b93-806c-6a3476a6f0ec · outbound

This paper cites Uncertainty- aware semi-supervised learning segmentation for remote sensing im- ages,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Uncertainty- aware semi-supervised learning segmentation for remote sensing im- ages,

Reference 7

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Observation 27e82170-5d64-4d06-b9d8-3ece592560c5 · outbound

This paper cites Pseudo labeling methods for semi-supervised semantic segmentation: A review and future perspec- tives,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Pseudo labeling methods for semi-supervised semantic segmentation: A review and future perspec- tives,

Reference 8

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Observation 4de48062-c87c-4c21-bd65-d286310b4702 · outbound

This paper cites Multi-perspective pseudo-label generation and confidence-weighted training for semi- supervised semantic segmentation,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Multi-perspective pseudo-label generation and confidence-weighted training for semi- supervised semantic segmentation,

Reference 9

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Observation e7b56415-c2c2-4316-9957-29905f688fce · outbound

This paper cites Multi-level label correction by distilling proximate patterns for semi-supervised semantic segmentation,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Multi-level label correction by distilling proximate patterns for semi-supervised semantic segmentation,

Reference 10

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Observation 099a35d3-4089-4270-a6da-0aa0f5a70150 · outbound

This paper cites Anti-adversarially manipulated attributions for weakly and semi-supervised semantic segmentation,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Anti-adversarially manipulated attributions for weakly and semi-supervised semantic segmentation,

Reference 12

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Observation e24f3b2e-7d43-4065-9a4d-9466b1695508 · outbound

This paper cites Revisiting weak-to- strong consistency in semi-supervised semantic segmentation,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Revisiting weak-to- strong consistency in semi-supervised semantic segmentation,

Reference 13

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Observation aaa1bd89-e3b3-43cd-8f25-9dd97b1f54cc · outbound

This paper cites A simple baseline for semi-supervised semantic segmentation with strong data augmentation,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation A simple baseline for semi-supervised semantic segmentation with strong data augmentation,

Reference 14

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Observation 29ed608f-ccd9-42de-bde3-641e0af2bd52 · outbound

This paper cites Augmentation matters: A simple-yet-effective approach to semi-supervised semantic segmentation,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Augmentation matters: A simple-yet-effective approach to semi-supervised semantic segmentation,

Reference 15

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Observation ad5a7676-6634-4b20-95e6-040c1b8bf1a9 · outbound

This paper cites AutoAug- ment: Learning augmentation strategies from data,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation AutoAug- ment: Learning augmentation strategies from data,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:51:47.307049Z

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Observation 170c6be6-d4d9-4ac8-8245-bff685de2bb6 · outbound

This paper cites Randaugment: Practical automated data augmentation with a reduced search space,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Randaugment: Practical automated data augmentation with a reduced search space,

Reference 17

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Observation f3969ef6-69e6-4ef4-a353-f515789e4b50 · outbound

This paper cites Trivialaugment: Tuning-free yet state-of- the-art data augmentation,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Trivialaugment: Tuning-free yet state-of- the-art data augmentation,

Reference 18

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Observation 0c2bef15-121f-4bae-9166-ced49755c6da · outbound

This paper cites Semi-supervised semantic segmen- tation with cross-consistency training,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Semi-supervised semantic segmen- tation with cross-consistency training,

Reference 19

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Observation 983cea98-e005-4d8e-b282-7f40ef067fe5 · outbound

This paper cites C3-semiseg: Contrastive semi-supervised segmentation via cross-set learning and dynamic class-balancing,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation C3-semiseg: Contrastive semi-supervised segmentation via cross-set learning and dynamic class-balancing,

Reference 20

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Observation 931e7481-5d82-4905-aa47-27c78ff1b421 · outbound

This paper cites Dmt: Dynamic mutual training for semi-supervised learning,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Dmt: Dynamic mutual training for semi-supervised learning,

Reference 21

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Observation 6a6efa45-8c4a-486b-b35e-0c30f71666a4 · outbound

This paper cites Bootstrapping semantic segmentation with regional contrast,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Bootstrapping semantic segmentation with regional contrast,

Reference 22

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Observation 8d64149f-cf30-4736-90c3-4ff4df5a615a · outbound

This paper cites Semi-supervised semantic segmentation with cross pseudo supervision,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Semi-supervised semantic segmentation with cross pseudo supervision,

Reference 23

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Observation eef8678f-51f4-443e-a471-4ba3184056a7 · outbound

This paper cites St++: Make self-training work better for semi-supervised semantic segmentation,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation St++: Make self-training work better for semi-supervised semantic segmentation,

Reference 24

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Observation c7644472-e82a-427a-9d7c-105e9f8bddff · outbound

This paper cites Semi-supervised semantic segmentation with error localization network,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Semi-supervised semantic segmentation with error localization network,

Reference 25

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Observation eac351fd-a3d0-4d88-a250-4ec0b909df17 · outbound

This paper cites Perturbed and strict mean teachers for semi-supervised semantic seg- mentation,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Perturbed and strict mean teachers for semi-supervised semantic seg- mentation,

Reference 26

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Observation 50cb0cb1-f120-4516-bb79-c306a04171f8 · outbound

This paper cites Semi-supervised semantic segmentation using unreliable pseudo-labels,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Semi-supervised semantic segmentation using unreliable pseudo-labels,

Reference 27

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Observation 5d261b6d-adab-4fe7-ac0e-3ecddad307af · outbound

This paper cites Ucc: Uncertainty guided cross- head co-training for semi-supervised semantic segmentation,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Ucc: Uncertainty guided cross- head co-training for semi-supervised semantic segmentation,

Reference 28

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Observation 402d5d12-1c45-4a96-a486-95c52787961b · outbound

This paper cites Conflict- based cross-view consistency for semi-supervised semantic segmenta- tion,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Conflict- based cross-view consistency for semi-supervised semantic segmenta- tion,

Reference 29

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Observation ff93228e-e9b4-40da-bebd-0ddb63a878bf · outbound

This paper cites Instance-specific and model-adaptive supervision for semi-supervised semantic segmentation,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Instance-specific and model-adaptive supervision for semi-supervised semantic segmentation,

Reference 30

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Observation 94cccb1c-4398-4acf-871f-bb20b7600c24 · outbound

This paper cites Querying labeled for unlabeled: Cross-image semantic consistency guided semi-supervised semantic segmentation,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Querying labeled for unlabeled: Cross-image semantic consistency guided semi-supervised semantic segmentation,

Reference 31

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Observation c72932da-5749-4571-91c3-1d280b076c48 · outbound

This paper cites Corrmatch: Label propagation via correlation matching for semi-supervised semantic segmentation,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Corrmatch: Label propagation via correlation matching for semi-supervised semantic segmentation,

Reference 32

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Observation 568a7209-bba4-48a8-8814-dcef18e88511 · outbound

This paper cites Allspark: Reborn labeled features from unlabeled in transformer for semi-supervised semantic segmentation,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Allspark: Reborn labeled features from unlabeled in transformer for semi-supervised semantic segmentation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:51:43.864703Z

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Observation a9d1657e-c815-44c9-9de6-c5876d9981f7 · outbound

This paper cites The pascal visual object classes (voc) challenge,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation The pascal visual object classes (voc) challenge,

Reference 34

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Observation 8ea69c3c-2384-4be1-b421-7e5babd22019 · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation The cityscapes dataset for semantic urban scene understanding,

Reference 35

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Observation f000a3bf-6f50-4ae8-b9a3-bb12f51d158e · outbound

This paper cites Microsoft coco: Common objects in context,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Microsoft coco: Common objects in context,

Reference 36

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Observation f441f0aa-cebd-4f33-b40a-40205bcbed08 · outbound

This paper cites Dash: Semi-supervised learning with dynamic thresholding,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Dash: Semi-supervised learning with dynamic thresholding,

Reference 37

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Observation 151bde70-4906-4d14-b491-e5d6e09c79ab · outbound

This paper cites Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:51:42.963635Z

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Observation 6529071f-dc6d-491d-acdc-4cfce135a963 · outbound

This paper cites Adasemicd: An adaptive semi-supervised change detection method based on pseudo-label evaluation,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Adasemicd: An adaptive semi-supervised change detection method based on pseudo-label evaluation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:51:42.766021Z

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Observation 9ca66e99-39e7-43b0-9990-152e72e557a3 · outbound

This paper cites Fixmatch: Simplifying semi- supervised learning with consistency and confidence,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Fixmatch: Simplifying semi- supervised learning with consistency and confidence,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:51:42.585439Z

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Observation 05f9e074-8780-4f69-a2c4-8292b834b449 · outbound

This paper cites Flexmatch: Boosting semi-supervised learning with curriculum pseudo labeling,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Flexmatch: Boosting semi-supervised learning with curriculum pseudo labeling,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:51:42.346814Z

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Observation 3ff5daaf-5143-4497-a760-b8a00c0d87a8 · outbound

This paper cites A Survey on Semi-Supervised Semantic Segmentation.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation A Survey on Semi-Supervised Semantic Segmentation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T12:51:32.721700Z

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Observation 6395c7d8-d88a-43c5-925a-c3603e6618a8 · outbound

This paper cites Learning with pseudo- ensembles,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Learning with pseudo- ensembles,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:51:42.134562Z

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Observation ec8a52a4-cb49-4bec-863f-c3c2734afaf5 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Representation Learning with Contrastive Predictive Coding

Reference 44

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Observation b72934c2-c9fc-459f-972c-1242fe823ba6 · outbound

This paper cites Generative adversarial nets,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Generative adversarial nets,

Reference 45

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Observation c9f82741-3e8e-497d-974a-92d0aa45b816 · outbound

This paper cites Semi-supervised semantic segmen- tation of vessel images using leaking perturbations,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Semi-supervised semantic segmen- tation of vessel images using leaking perturbations,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:51:41.787170Z

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Observation 48d4b862-2750-4200-b818-ae4832601238 · outbound

This paper cites Self-ensembling gan for cross-domain semantic segmentation,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Self-ensembling gan for cross-domain semantic segmentation,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:51:41.511445Z

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Observation f141d89e-4ed1-4066-bac1-ba1192be43c2 · outbound

This paper cites Semi supervised semantic segmentation using generative adversarial network,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Semi supervised semantic segmentation using generative adversarial network,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:51:41.321903Z

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Observation 7c11fe30-acd9-4e16-9bf8-ace18403c13c · outbound

This paper cites Semantic seg- mentation with generative models: Semi-supervised learning and strong out-of-domain generalization,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Semantic seg- mentation with generative models: Semi-supervised learning and strong out-of-domain generalization,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:51:41.128095Z

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Observation 40462d92-4c54-4019-917b-882d840da7fb · outbound

This paper cites Adversarial dual-student with differentiable spatial warping for semi-supervised semantic segmentation,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Adversarial dual-student with differentiable spatial warping for semi-supervised semantic segmentation,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:51:40.943532Z

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Observation 808dffd8-9a54-4e5b-b682-8be375ebb1bf · outbound

This paper cites Adversarial network integrating dual attention and sparse representation for semi-supervised semantic seg- mentation,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Adversarial network integrating dual attention and sparse representation for semi-supervised semantic seg- mentation,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:51:40.802119Z

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Observation 46606787-ee37-408e-9a1f-0c63dac4bda0 · outbound

This paper cites Boosting semi-supervised semantic segmentation with probabilistic representations,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Boosting semi-supervised semantic segmentation with probabilistic representations,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:51:40.639750Z

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Observation 89563e93-0e67-4033-862e-1fe610f612aa · outbound

This paper cites Pseudoseg: Designing pseudo labels for semantic segmentation,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Pseudoseg: Designing pseudo labels for semantic segmentation,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:51:48.192759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 652d9d42-5ea1-4bba-825d-6b1e406849b4 · outbound

This paper cites Hunting sparsity: Density- guided contrastive learning for semi-supervised semantic segmentation,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Hunting sparsity: Density- guided contrastive learning for semi-supervised semantic segmentation,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:51:40.485531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0c1d6296-8578-4f87-a3cb-52fd30526a46 · outbound

This paper cites Pixel contrastive-consistent semi-supervised semantic segmentation,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Pixel contrastive-consistent semi-supervised semantic segmentation,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:51:40.303888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 30b095b6-dbd1-45f5-849d-932de35ae56e · outbound

This paper cites An Overview of Deep Semi-Supervised Learning.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation An Overview of Deep Semi-Supervised Learning

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T12:51:33.653528Z

Source-reported events for the cited work

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Observation 992dce6b-9188-488e-a19e-74fe86ded5e3 · outbound

This paper cites Cutmix: Reg- ularization strategy to train strong classifiers with localizable features,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Cutmix: Reg- ularization strategy to train strong classifiers with localizable features,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T12:51:33.710684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aafd8902-9bd8-48b3-9d54-d66ddf7bbdcc · outbound

This paper cites Classmix: Segmentation-based data augmentation for semi-supervised learning,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Classmix: Segmentation-based data augmentation for semi-supervised learning,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T12:51:33.762081Z

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Observation 8e2f1824-4e26-4430-b224-2ea7a99a5322 · outbound

This paper cites Complexmix: Semi- supervised semantic segmentation via mask-based data augmentation,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Complexmix: Semi- supervised semantic segmentation via mask-based data augmentation,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:51:40.139035Z

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Observation d5f4a802-e24c-4870-9885-50ec12ada3bd · outbound

This paper cites Revisiting consistency for semi- supervised semantic segmentation,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Revisiting consistency for semi- supervised semantic segmentation,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:51:39.930679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 62b0b860-eba6-4477-9608-47bb7106f2a8 · outbound

This paper cites A baseline for semi-supervised learning of efficient semantic segmentation models,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation A baseline for semi-supervised learning of efficient semantic segmentation models,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:51:39.745709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6c75c51e-a96d-4bd0-bf0c-67f47923844f · outbound

This paper cites Mean teachers are better role mod- els: Weight-averaged consistency targets improve semi-supervised deep learning results,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Mean teachers are better role mod- els: Weight-averaged consistency targets improve semi-supervised deep learning results,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T12:51:33.852649Z

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Unavailable: canonical work link unavailable.

Observation 66f26bff-6c81-41d0-891c-69e5b45a8596 · outbound

This paper cites Semi-supervised semantic segmentation with directional context-aware consistency,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Semi-supervised semantic segmentation with directional context-aware consistency,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:51:39.473430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8068caba-7376-46f1-8921-2366b57e8661 · outbound

This paper cites Pruning-guided curriculum learning for semi-supervised semantic segmentation,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Pruning-guided curriculum learning for semi-supervised semantic segmentation,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:51:39.179844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 540b4a2f-7080-4796-a29b-9249f552cfea · outbound

This paper cites Semi-supervised semantic segmentation needs strong, varied perturbations.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Semi-supervised semantic segmentation needs strong, varied perturbations

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T12:51:34.017839Z

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Observation 2ecb30fa-e7fe-477a-8be2-cc7bdb56dba1 · outbound

This paper cites Semi-supervised semantic segmentation via gentle teaching assistant,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Semi-supervised semantic segmentation via gentle teaching assistant,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:51:38.848869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 48419885-3530-44c6-a065-3d8f8ba926e4 · outbound

This paper cites Enhanced soft label for semi-supervised semantic segmentation,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Enhanced soft label for semi-supervised semantic segmentation,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:51:38.536560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6c442a49-d501-47b9-89ec-572a9c769932 · outbound

This paper cites The pascal visual object classes challenge: A retrospective,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation The pascal visual object classes challenge: A retrospective,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:51:38.199572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0fb100d6-d119-41c8-aa51-c85f4b7a2f76 · outbound

This paper cites Semantic contours from inverse detectors,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Semantic contours from inverse detectors,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:51:37.929388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3a1218f1-a828-4e96-a088-863e66421988 · outbound

This paper cites Semi-supervised semantic segmentation via adaptive equalization learning,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Semi-supervised semantic segmentation via adaptive equalization learning,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:51:37.611728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 675a3cda-8ccd-4f8f-a177-47ffa9a4344e · outbound

This paper cites Cfcg: Semi-supervised semantic segmentation via cross-fusion and contour guidance supervision,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Cfcg: Semi-supervised semantic segmentation via cross-fusion and contour guidance supervision,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:51:37.325568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0a6df115-9615-465c-a683-ddd48c30eb3b · outbound

This paper cites Semi-supervised semantic segmentation with mutual knowledge distillation,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Semi-supervised semantic segmentation with mutual knowledge distillation,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:51:36.996217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 58a640d2-699f-47a5-a5e9-930ef307f6d7 · outbound

This paper cites Logic-induced diagnostic reasoning for semi-supervised semantic segmentation,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Logic-induced diagnostic reasoning for semi-supervised semantic segmentation,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:51:36.657288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 83ad6807-8a9e-4f8f-b220-8687955a3318 · outbound

This paper cites Training vision transformers for semi- supervised semantic segmentation,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Training vision transformers for semi- supervised semantic segmentation,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:51:36.305868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bc9c0c8f-e591-4fe3-b4ae-f773b74d85da · outbound

This paper cites Boundary- refined prototype generation: A general end-to-end paradigm for semi- supervised semantic segmentation,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Boundary- refined prototype generation: A general end-to-end paradigm for semi- supervised semantic segmentation,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:51:36.117912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 257b125a-bf22-4dbe-a1a5-c151ecd0c79c · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T12:51:35.460508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86b98f5b-aab0-4b1e-b84f-c6feef5d3e42 · outbound

This paper cites Deep residual learning for image recognition,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Deep residual learning for image recognition,

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T12:51:35.625256Z

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Unavailable: canonical work link unavailable.

Observation 333e17e3-5a7c-4f83-befa-1ffc2936da04 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Imagenet: A large-scale hierarchical image database,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T12:51:35.769470Z

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Unavailable: canonical work link unavailable.

Observation 7057e9c8-b5c7-44c4-8378-e06c8e46ce27 · outbound

This paper cites Segformer: Simple and efficient design for semantic segmentation with transformers,.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation Segformer: Simple and efficient design for semantic segmentation with transformers,

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-07T12:51:35.897224Z

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