Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T12:21:25.759138Z
Paper Citation Record · LEDGER
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization
As of 17 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 2 inbound Pith citation observations for arXiv:2507.21959.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-12T20:54:21.788940Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T11:06:03.591708Z
Reference resolution
82 of 82 outbound references displayed
- verified exact4
- verified fuzzy70
- unresolved7
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 4a3f7768-c0d5-4120-a1d1-940829e41042 · outbound
This paper cites Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T12:21:25.923023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 78c6c426-57d7-463e-bdad-3a747e7a0ed4 · outbound
This paper cites Single-stage semantic segmentation from image labels.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Single-stage semantic segmentation from image labels
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:21:25.533984Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac5ec017-b936-4260-9d1b-607f37207218 · outbound
This paper cites Attentiontoscale:Scale-awaresemanticimagesegmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Attentiontoscale:Scale-awaresemanticimagesegmentation
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:21:25.544534Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d12b8039-78e1-493c-bc3f-6c9540c70f2a · outbound
This paper cites Deeplab: Semantic image segmentation with deep convolu- tionalnets,atrousconvolution,andfullyconnectedcrfs.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Deeplab: Semantic image segmentation with deep convolu- tionalnets,atrousconvolution,andfullyconnectedcrfs
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.515375Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ea32a1c9-c242-4afb-a70d-726215c4eeba · outbound
This paper cites Weaklysupervisedsemanticsegmentationwithboundaryexploration.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Weaklysupervisedsemanticsegmentationwithboundaryexploration
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.508217Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 199c55af-8dfd-4215-8585-efb364cb37ea · outbound
This paper cites Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:21:25.553776Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3d165c8-28bf-4ca9-a655-febe02000dc4 · outbound
This paper cites Semi-supervised semantic segmentation with cross pseudo supervision.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Semi-supervised semantic segmentation with cross pseudo supervision
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.500086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a2d9f2a4-130c-4d01-8a8a-382962a3de4f · outbound
This paper cites C-cam: Causal cam for weakly supervised semantic segmentation on medical image.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization C-cam: Causal cam for weakly supervised semantic segmentation on medical image
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.492283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ad0525a6-a084-45e4-bc14-9ee17388c6f3 · outbound
This paper cites Extracting class activation maps from non- discriminative features as well.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Extracting class activation maps from non- discriminative features as well
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.485273Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 73c08275-7d92-4738-8816-f6f598984495 · outbound
This paper cites Class re-activation maps for weakly-supervised semantic segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Class re-activation maps for weakly-supervised semantic segmentation
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.477616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 910a0939-6e79-4184-a109-a2ae5b59b70a · outbound
This paper cites Attention-based dropout layer for weakly super- vised object localization.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Attention-based dropout layer for weakly super- vised object localization
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.470463Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 20f30fec-2eb6-4da8-9b84-2097c20aba62 · outbound
This paper cites Convit: Improving vision transformers with soft convolutional inductive biases.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Convit: Improving vision transformers with soft convolutional inductive biases
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.462213Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation eaf97be0-2302-47ee-81cb-95629a1471c9 · outbound
This paper cites Boxsup: Exploiting bounding boxes to super- vise convolutional networks for semantic segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Boxsup: Exploiting bounding boxes to super- vise convolutional networks for semantic segmentation
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.454959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c405f2a3-742f-4111-981b-3cdb643af86e · outbound
This paper cites Imagenet: A large-scale hierarchical image database.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Imagenet: A large-scale hierarchical image database
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.447157Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 23fc34f0-033a-41af-ac3c-2426204a5009 · outbound
This paper cites Weaklysupervisedsemanticsegmentationbypixel-to-prototypecontrast.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Weaklysupervisedsemanticsegmentationbypixel-to-prototypecontrast
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.439475Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b3b4036c-a8ac-4c5c-aa2d-364e2ac7f5c8 · outbound
This paper cites Toward practical weakly supervised semantic segmentation via point-level supervision.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Toward practical weakly supervised semantic segmentation via point-level supervision
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.431674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2eaa0361-92bb-4dd7-bcd7-aa0c38b92ef6 · outbound
This paper cites Learning integral objects with intra-class discriminator for weakly- supervised semantic segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Learning integral objects with intra-class discriminator for weakly- supervised semantic segmentation
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.422909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a0a6898b-fd99-48e8-b999-b83225ce8ee2 · outbound
This paper cites Weakly-supervised semantic segmentation for histopathology images based on dataset synthesis and feature consistency constraint.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Weakly-supervised semantic segmentation for histopathology images based on dataset synthesis and feature consistency constraint
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.414729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2fb59c6c-6c14-4e26-b60c-9d7b57f16164 · outbound
This paper cites Shortcut learning in deep neural networks.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Shortcut learning in deep neural networks
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.406978Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 11cedf69-7e0f-41f1-9a53-7ef7f45e6307 · outbound
This paper cites Calibrating Undisciplined Over-Smoothing in Transformer for Weakly Supervised Semantic Segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Calibrating Undisciplined Over-Smoothing in Transformer for Weakly Supervised Semantic Segmentation
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T12:21:25.905174Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b06d5384-10e2-49bc-a58d-7689fdb85d5c · outbound
This paper cites Progressive feature self-reinforcement for weakly supervised semantic segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Progressive feature self-reinforcement for weakly supervised semantic segmentation
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.398412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ea3f943c-8fc5-41b9-8e0a-921ddc26d1e4 · outbound
This paper cites Distilling the Knowledge in a Neural Network.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Distilling the Knowledge in a Neural Network
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:21:25.595529Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e2c55b25-8178-4049-b76b-986cf208b89b · outbound
This paper cites Weakly supervised instance segmentation using the bounding box tightness prior.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Weakly supervised instance segmentation using the bounding box tightness prior
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.389213Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 54ec1e97-ce29-4fe7-b730-548db4cf15fc · outbound
This paper cites Project RISE: recognizing industrial smoke emissions.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Project RISE: recognizing industrial smoke emissions
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.380106Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2216e360-717a-40d0-b51b-ea8eacc40be8 · outbound
This paper cites L2g: A simple local-to-global knowledge transfer framework for weakly supervised semantic segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization L2g: A simple local-to-global knowledge transfer framework for weakly supervised semantic segmentation
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.372687Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 600794ef-7b12-43d5-a9ef-c956ae4e2725 · outbound
This paper cites Layercam: Exploring hierarchical class activation maps for localization.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Layercam: Exploring hierarchical class activation maps for localization
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.362388Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bcf8e094-c87d-4590-be46-d2cb35171fc7 · outbound
This paper cites Segmentanything.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Segmentanything
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.354966Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 498a0c20-70dc-4af9-9c5b-fa3d6abb7fab · outbound
This paper cites From sam to cams: Exploring segment anything model for weakly supervised semantic segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization From sam to cams: Exploring segment anything model for weakly supervised semantic segmentation
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.346100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fb622765-7bfe-4882-94d7-5d861445a784 · outbound
This paper cites Weakly Supervised Semantic Segmen- tation via Dual-Stream Contrastive Learning of Cross-Image Contextual Information.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Weakly Supervised Semantic Segmen- tation via Dual-Stream Contrastive Learning of Cross-Image Contextual Information
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.337987Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 13d52d22-5985-4969-b314-982d81524a61 · outbound
This paper cites Ficklenet: Weakly and semi-supervised semantic image segmenta- tion using stochastic inference.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Ficklenet: Weakly and semi-supervised semantic image segmenta- tion using stochastic inference
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.329031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b2d06445-8eee-4392-b53c-3f7712d30d83 · outbound
This paper cites Weaklysupervisedsemanticsegmentationusingout-of-distribution data.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Weaklysupervisedsemanticsegmentationusingout-of-distribution data
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.319655Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation eff65033-aa8a-4ff1-9e2d-3fce27286bd0 · outbound
This paper cites Railroad is not a train: Saliency as pseudo-pixel supervision for weakly supervised semantic segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Railroad is not a train: Saliency as pseudo-pixel supervision for weakly supervised semantic segmentation
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.312398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1904eae1-81b5-4c99-bcec-1561af57ee23 · outbound
This paper cites Transcam: Transformer attention-based cam refinement for weakly supervised semantic segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Transcam: Transformer attention-based cam refinement for weakly supervised semantic segmentation
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.305256Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2426d860-0522-4284-bcbf-7c416b3aaebc · outbound
This paper cites Pdseg: Patch-wise distillation and controllable image generation for weakly-supervised histopathology tissue segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Pdseg: Patch-wise distillation and controllable image generation for weakly-supervised histopathology tissue segmentation
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.295083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 28b71456-c91e-4053-820e-e4fba7898afd · outbound
This paper cites Understanding the role of the projector in knowledge distillation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Understanding the role of the projector in knowledge distillation
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.285709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7b624d2b-21fa-46a6-8903-4b0e06a27a0f · outbound
This paper cites Learning cnn on vit: A hybrid model to explicitly class-specific boundaries for domain adaptation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Learning cnn on vit: A hybrid model to explicitly class-specific boundaries for domain adaptation
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.275639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 679a8c8a-8a21-4f4e-94de-1fbfc3ff5ad6 · outbound
This paper cites Background-aware pooling and noise-aware loss for weakly-supervised semantic segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Background-aware pooling and noise-aware loss for weakly-supervised semantic segmentation
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.265100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 48316c98-d861-4fad-9a18-24c7d5c9fc69 · outbound
This paper cites Semi-supervised semantic segmen- tation with cross-consistency training.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Semi-supervised semantic segmen- tation with cross-consistency training
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.256554Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 109dfe13-6ad0-4f5e-9628-6db3687abe72 · outbound
This paper cites Weakly-andsemi-supervisedlearningofadeepconvolutional network for semantic image segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Weakly-andsemi-supervisedlearningofadeepconvolutional network for semantic image segmentation
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.247003Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 87dba818-8e0d-443e-8f86-b03ff268da5d · outbound
This paper cites Precision matters: Precision-aware ensemble for weakly supervised semantic segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Precision matters: Precision-aware ensemble for weakly supervised semantic segmentation
Reference 40
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T12:21:25.887471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3fb3b4ae-f8fe-4fbf-b095-b381abed7b2a · outbound
This paper cites Usage:Aunifiedseedareagenerationparadigmforweaklysupervised semantic segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Usage:Aunifiedseedareagenerationparadigmforweaklysupervised semantic segmentation
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.236238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9b6ef5b6-2ff6-43fe-9e13-f3a769424207 · outbound
This paper cites Learning transferable visual models from natural language supervision.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Learning transferable visual models from natural language supervision
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.227732Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c11b41bc-0026-4274-b3ac-e77a242bc75f · outbound
This paper cites Do vision transformers see like convolutional neural networks?.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Do vision transformers see like convolutional neural networks?
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.218240Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c38327ac-3de0-4359-8fb6-edd3c5986897 · outbound
This paper cites Boundary-enhanced co-training for weakly supervised semantic segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Boundary-enhanced co-training for weakly supervised semantic segmentation
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.208486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cace320c-c62a-4a03-84e0-58355c338660 · outbound
This paper cites Learning affinity from attention: End-to-end weakly-supervised semantic segmentation with transformers.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Learning affinity from attention: End-to-end weakly-supervised semantic segmentation with transformers
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.200083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 02021e1d-c760-431b-bfec-3ef454e3ff0d · outbound
This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Mobilenetv2: Inverted residuals and linear bottlenecks
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.190750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2bd25082-697b-4d76-a8f0-bf178c1b3fe8 · outbound
This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Grad-cam: Visual explanations from deep networks via gradient-based localization
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:21:25.661991Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fea8bb8e-a792-49a7-b49d-e938952bc15e · outbound
This paper cites Self-supervised difference detection for weakly- supervised semantic segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Self-supervised difference detection for weakly- supervised semantic segmentation
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.178893Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fe2e0bec-1894-4408-a0cf-a7f82f05f048 · outbound
This paper cites Segmenter:Transformerforsemanticsegmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Segmenter:Transformerforsemanticsegmentation
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.171233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ad8a6206-e5bf-408f-8a99-821f3c7668a6 · outbound
This paper cites Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T12:21:25.875412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 127db34a-44aa-44c1-9ba1-042b06b07865 · outbound
This paper cites Massive Activations in Large Language Models.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Massive Activations in Large Language Models
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:21:25.673273Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 010930e0-7c85-4edb-ba11-193a9f1a8e8e · outbound
This paper cites All-pairs consistency learning forweakly supervised semantic segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization All-pairs consistency learning forweakly supervised semantic segmentation
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.163264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3d98e0c4-bfc0-4d49-a604-9524e66a69d3 · outbound
This paper cites Hunting attributes: Context prototype-aware learning for weakly supervised semantic segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Hunting attributes: Context prototype-aware learning for weakly supervised semantic segmentation
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.155403Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b6b51303-ae07-4df0-a013-db65c0e74223 · outbound
This paper cites Training data-efficient image transformers & distillation through attention.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Training data-efficient image transformers & distillation through attention
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.148213Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 852cd9cd-5eb5-437a-8eff-fa2f73a011de · outbound
This paper cites A hybrid resnet-vit approach to bridge the global and local features for myocardial infarction detection.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization A hybrid resnet-vit approach to bridge the global and local features for myocardial infarction detection
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.140034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 44974d68-9e91-4b68-be00-102826cd6c01 · outbound
This paper cites Cycle-consistent learning for weakly supervised semantic segmen- tation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Cycle-consistent learning for weakly supervised semantic segmen- tation
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.132405Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d97a237b-b650-4765-bcf5-58a7d5f30ce9 · outbound
This paper cites Score-CAM: Score-weighted visual explanations for convolutional neuralnetworks.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Score-CAM: Score-weighted visual explanations for convolutional neuralnetworks
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.125063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fd78574a-a3cc-4059-89ed-4f9170b924d7 · outbound
This paper cites Self-supervised equivariant attention mechanism for weakly super- vised semantic segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Self-supervised equivariant attention mechanism for weakly super- vised semantic segmentation
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.118428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5a64320a-b6d0-42e8-a2c4-2bb9124f64b9 · outbound
This paper cites When cnn meet with vit: Towards semi-supervised learning for multi-class medical image semantic segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization When cnn meet with vit: Towards semi-supervised learning for multi-class medical image semantic segmentation
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.111145Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0b43532d-1b8e-4c51-af37-a45c2c375e9f · outbound
This paper cites Object region mining with adversarial erasing: A simple classi- fication to semantic segmentation approach.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Object region mining with adversarial erasing: A simple classi- fication to semantic segmentation approach
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.102621Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f17abe07-b41f-4fdd-8773-7681d79a5bd8 · outbound
This paper cites WPS-SAM: Towards Weakly-Supervised Part Segmentation with FoundationModels.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization WPS-SAM: Towards Weakly-Supervised Part Segmentation with FoundationModels
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.095348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6cdb4f0f-52c0-4b77-8e00-0668764fd4d5 · outbound
This paper cites DINO is Also a Semantic Guider: Exploiting Class-aware Affinity for Weakly Supervised Semantic Segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization DINO is Also a Semantic Guider: Exploiting Class-aware Affinity for Weakly Supervised Semantic Segmentation
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.087951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 89cbcb21-2dac-4438-ad20-5f162be36d82 · outbound
This paper cites Dupl: Dual student with trustworthy progressive learning for robust weakly supervised semantic segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Dupl: Dual student with trustworthy progressive learning for robust weakly supervised semantic segmentation
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.080689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1f69435e-18e5-4b7a-b25a-a5a661c75709 · outbound
This paper cites Wider or deeper: Revisiting the resnet model for visual recognition.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Wider or deeper: Revisiting the resnet model for visual recognition
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.071962Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 632c4766-8ccd-4b74-916e-56956ca92b51 · outbound
This paper cites SegFormer: Simple and efficient design for semantic segmentation with transformers.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization SegFormer: Simple and efficient design for semantic segmentation with transformers
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.063726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 857cfae6-cc98-4cbd-b9ad-9151fcd3effc · outbound
This paper cites Clims: Cross language image matching for weakly supervised semantic segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Clims: Cross language image matching for weakly supervised semantic segmentation
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.056550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f96e65c6-6bc5-46ca-a05e-95e5fc3d36cd · outbound
This paper cites Boat in the sky: Background decoupling and object-aware pooling for weakly supervised semantic segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Boat in the sky: Background decoupling and object-aware pooling for weakly supervised semantic segmentation
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.048792Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 152dc464-c470-4ef7-a244-3e51128d7c4b · outbound
This paper cites Multi-class token transformer for weakly supervised semantic segmenta- tion.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Multi-class token transformer for weakly supervised semantic segmenta- tion
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.040546Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 55f431df-72f9-4a9f-b761-03f365fac67f · outbound
This paper cites Self correspondence distillation for end-to-end weakly-supervised semantic segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Self correspondence distillation for end-to-end weakly-supervised semantic segmentation
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.032212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0390b6db-354a-4431-894b-43ce7be4b3d1 · outbound
This paper cites Transmission-guided bayesian generative model for smoke segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Transmission-guided bayesian generative model for smoke segmentation
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.025545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 47f05210-743b-4820-9025-c1eb14cb5a38 · outbound
This paper cites More: Class patch attention needs regularization for weakly supervised semantic segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization More: Class patch attention needs regularization for weakly supervised semantic segmentation
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.017557Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d2a404bf-e935-49cc-bffc-67ed06c5af15 · outbound
This paper cites Separateandconquer:Decouplingco-occurrenceviadecomposition and representation for weakly supervised semantic segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Separateandconquer:Decouplingco-occurrenceviadecomposition and representation for weakly supervised semantic segmentation
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.009565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ae1b2262-f66c-4d38-81ee-80cf625dc2d9 · outbound
This paper cites Fine-grainedBackgroundRepresentationforWeaklySupervisedSemantic Segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Fine-grainedBackgroundRepresentationforWeaklySupervisedSemantic Segmentation
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:26.000003Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e950efa3-307b-40e2-bc0e-1c34c294f405 · outbound
This paper cites Dynamic Feature Regularized Loss for Weakly Supervised Semantic Segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Dynamic Feature Regularized Loss for Weakly Supervised Semantic Segmentation
Reference 74
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T12:21:25.857888Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 91023f23-ad88-473c-b4d7-134a8311dcc7 · outbound
This paper cites Frozen clip: A strong backbone for weakly supervised semantic segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Frozen clip: A strong backbone for weakly supervised semantic segmentation
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:25.991671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 89153cf8-ba64-440f-a645-40d3e0001c0c · outbound
This paper cites Weaklysupervisedsemanticsegmentationviaalternateself-dual teaching.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Weaklysupervisedsemanticsegmentationviaalternateself-dual teaching
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:25.983109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9ae21150-5aad-464f-8ec7-3786576a345c · outbound
This paper cites Cumulative spatial knowledge distillation for vision transformers.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Cumulative spatial knowledge distillation for vision transformers
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:25.972474Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a64171aa-b8cd-412a-8c1a-ed5ddd69c8a1 · outbound
This paper cites Transformer-cnn cohort: Semi-supervised semantic segmentation by the best of both students.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Transformer-cnn cohort: Semi-supervised semantic segmentation by the best of both students
Reference 78
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:25.962850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1b0eb261-148b-4b92-9b09-3696299d9df1 · outbound
This paper cites Learningdeepfeaturesfordiscriminativelocalization.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Learningdeepfeaturesfordiscriminativelocalization
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:25.955257Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bc3a21d9-0871-4e0e-9cfb-1a6b76afe785 · outbound
This paper cites Regional semantic contrast and aggregation for weakly supervised semantic segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Regional semantic contrast and aggregation for weakly supervised semantic segmentation
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:25.943140Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 611e884a-cad6-46fd-bb34-73fc4c138778 · outbound
This paper cites A good student is cooperative and reliable: Cnn-transformer collabo- rative learning for semantic segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization A good student is cooperative and reliable: Cnn-transformer collabo- rative learning for semantic segmentation
Reference 81
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T12:21:25.933709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3da47add-923c-4676-be86-0b9e60a26b34 · outbound
This paper cites Weaktr: Exploring plain vision transformer for weakly-supervised semantic segmentation.
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Weaktr: Exploring plain vision transformer for weakly-supervised semantic segmentation
Reference 82
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:21:25.759138Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation a82b742c-b899-4c0a-a9bf-d082a64c30f3 · inbound
Right Regions, Wrong Labels: Semantic Label Flips in Segmentation under Correlation Shift cites this paper.
Right Regions, Wrong Labels: Semantic Label Flips in Segmentation under Correlation Shift Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T11:06:03.598225Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c22f9a93-d53b-4369-b97a-3fd9f5cf3608 · inbound
Right Regions, Wrong Labels: Semantic Label Flips in Segmentation under Correlation Shift cites this paper.
Right Regions, Wrong Labels: Semantic Label Flips in Segmentation under Correlation Shift Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T20:54:21.788940Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.