Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization | Paper Citation Record

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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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This paper cites Weaklysupervisedsemanticsegmentationbypixel-to-prototypecontrast.

Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization Weaklysupervisedsemanticsegmentationbypixel-to-prototypecontrast

Reference 15

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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

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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

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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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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

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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 2026-08-08T06:32:00.761636+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

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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

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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

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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

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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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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

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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

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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

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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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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

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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

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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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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

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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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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

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