Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability | Paper Citation Record

Observation 9ed6af72-4bad-4fef-afe5-bcbcd206d4a8 · outbound

This paper cites Metareg: Towards domain generalization using meta- regularization.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Metareg: Towards domain generalization using meta- regularization

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This paper cites Label-efficient se- mantic segmentation with diffusion models.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Label-efficient se- mantic segmentation with diffusion models

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This paper cites Contrastive mean teacher for domain adaptive ob- ject detectors.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Contrastive mean teacher for domain adaptive ob- ject detectors

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This paper cites Harmonizing transferability and discrim- inability for adapting object detectors.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Harmonizing transferability and discrim- inability for adapting object detectors

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This paper cites Dual bipartite graph learning: A general approach for domain adaptive object detection.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Dual bipartite graph learning: A general approach for domain adaptive object detection

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This paper cites MMDetection: Open MMLab Detection Toolbox and Benchmark.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability MMDetection: Open MMLab Detection Toolbox and Benchmark

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This paper cites Geodiffusion: Text- prompted geometric control for object detection data gen- eration.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Geodiffusion: Text- prompted geometric control for object detection data gen- eration

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This paper cites Learning domain adaptive object detection with probabilistic teacher.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Learning domain adaptive object detection with probabilistic teacher

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This paper cites Domain adaptive faster r-cnn for object de- tection in the wild.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Domain adaptive faster r-cnn for object de- tection in the wild

Reference 9

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This paper cites Scale-aware domain adap- tive faster r-cnn.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Scale-aware domain adap- tive faster r-cnn

Reference 10

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

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability The cityscapes dataset for semantic urban scene understanding

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This paper cites Randaugment: Practical automated data augmen- tation with a reduced search space.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Randaugment: Practical automated data augmen- tation with a reduced search space

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Observation 06e7b7bf-93d5-4016-a8d7-f876bc136659 · outbound

This paper cites Improving single domain-generalized object detection: A focus on diversification and alignment.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Improving single domain-generalized object detection: A focus on diversification and alignment

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This paper cites Un- biased mean teacher for cross-domain object detection.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Un- biased mean teacher for cross-domain object detection

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Observation 7c34e552-476c-4e1b-bbee-7e07099f54cf · outbound

This paper cites Harmo- nious teacher for cross-domain object detection.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Harmo- nious teacher for cross-domain object detection

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Observation 863b75ac-8e63-482b-89e9-90f62a90f1e6 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

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This paper cites Learning to learn with variational information bottleneck for domain general- ization.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Learning to learn with variational information bottleneck for domain general- ization

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Observation c2ca3da5-98aa-4f21-93e1-254b62bb585b · outbound

This paper cites Davimnet: Ssms-based do- main adaptive object detection.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Davimnet: Ssms-based do- main adaptive object detection

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This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Scaling recti- fied flow transformers for high-resolution image synthesis

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

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability The pascal visual object classes (voc) challenge

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Observation 0759d030-8bc8-4955-ae21-5f0ac720b5d8 · outbound

This paper cites Generative adversarial networks.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Generative adversarial networks

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This paper cites Dsca: A dual semantic correlation align- ment method for domain adaptation object detection.Pattern Recognition, 150:110329, 2024.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Dsca: A dual semantic correlation align- ment method for domain adaptation object detection.Pattern Recognition, 150:110329, 2024

Reference 22

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Observation 4eb46b46-fe29-4f88-9104-11f4a62a3a51 · outbound

This paper cites Dif- fusion domain teacher: Diffusion guided domain adaptive object detector.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Dif- fusion domain teacher: Diffusion guided domain adaptive object detector

Reference 23

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Observation 9e15f4c8-8ddc-4aae-8932-1143239b5da9 · outbound

This paper cites Generalized diffusion detector: Mining robust features from diffusion models for domain-generalized de- tection.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Generalized diffusion detector: Mining robust features from diffusion models for domain-generalized de- tection

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Observation eb5f705b-8e11-4479-9f83-8159626ef3bb · outbound

This paper cites Deep residual learning for image recognition.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Deep residual learning for image recognition

Reference 25

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Observation cb9675c0-083a-4a60-a1e3-d827c4a930d9 · outbound

This paper cites Cross domain object detection by target-perceived dual branch distillation.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Cross domain object detection by target-perceived dual branch distillation

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Observation bf91c686-6074-4f89-9640-fe18826b8fe9 · outbound

This paper cites Single-Domain Generalized Object Detection by Balancing Domain Diversity and Invariance.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Single-Domain Generalized Object Detection by Balancing Domain Diversity and Invariance

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Observation 77900a47-8bc6-4395-882b-d8b5285f6882 · outbound

This paper cites Denoising dif- fusion probabilistic models.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Denoising dif- fusion probabilistic models

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Observation 601ad6a6-6244-4e34-b19a-ee85e0dc1422 · outbound

This paper cites Denoising dif- fusion probabilistic models.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Denoising dif- fusion probabilistic models

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This paper cites Stylemix: Sep- arating content and style for enhanced data augmentation.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Stylemix: Sep- arating content and style for enhanced data augmentation

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Observation a3b741d1-8649-4d75-8c66-dac619398c15 · outbound

This paper cites Mic: Masked image consistency for context- enhanced domain adaptation.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Mic: Masked image consistency for context- enhanced domain adaptation

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Observation 07423774-a53b-4bd9-95d2-8197e7cd8c5d · outbound

This paper cites Every pixel matters: Center-aware feature alignment for domain adaptive object detector.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Every pixel matters: Center-aware feature alignment for domain adaptive object detector

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Observation cf83fa94-8359-4a43-9e93-2e6e9aa21067 · outbound

This paper cites Fsdr: Frequency space domain randomization for domain generalization.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Fsdr: Frequency space domain randomization for domain generalization

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Observation 09da3206-0ffd-48af-a861-735fb5a41ec6 · outbound

This paper cites Cross-domain weakly-supervised object de- tection through progressive domain adaptation.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Cross-domain weakly-supervised object de- tection through progressive domain adaptation

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Observation 81bb667d-bcc1-49f8-9320-b0e111ae7781 · outbound

This paper cites Decoupled adaptation for cross-domain object detec- tion.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Decoupled adaptation for cross-domain object detec- tion

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Observation e15da447-4c85-4cc2-a416-742e83e4d9ad · outbound

This paper cites Cat: Exploiting inter-class dynamics for domain adaptive object detection.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Cat: Exploiting inter-class dynamics for domain adaptive object detection

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Observation 53d4cc28-2bf7-47f6-acde-27932b563eb9 · outbound

This paper cites Object-aware domain generalization for object detection.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Object-aware domain generalization for object detection

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Observation ef215e82-cf2e-4269-9da4-81d2e802763d · outbound

This paper cites Prompt-driven dynamic object-centric learning for single do- main generalization.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Prompt-driven dynamic object-centric learning for single do- main generalization

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Observation ed65c3f9-8b35-4bdf-a538-18af610d8685 · outbound

This paper cites Domain generalization with adversarial feature learning.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Domain generalization with adversarial feature learning

Reference 39

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Observation 8a505dfd-e72c-4e99-8f86-1772aae8d770 · outbound

This paper cites Grounded language-image pre-training.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Grounded language-image pre-training

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Observation fd38a3d6-6ede-44ec-a339-e8c4bf30b5a2 · outbound

This paper cites Source-free object detection by learning to overlook domain style.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Source-free object detection by learning to overlook domain style

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.392100Z

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Observation f71a8a09-6e02-4a11-b3d3-a91893656d1a · outbound

This paper cites Sigma: Semantic- complete graph matching for domain adaptive object detec- tion.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Sigma: Semantic- complete graph matching for domain adaptive object detec- tion

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.382862Z

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Observation f5eff10c-62f8-40ed-8c2c-e746054b23e2 · outbound

This paper cites Sigma++: Im- proved semantic-complete graph matching for domain adap- tive object detection.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Sigma++: Im- proved semantic-complete graph matching for domain adap- tive object detection

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.373637Z

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Observation 66f68ea6-2cbc-45a4-95d4-de1ddd1f018f · outbound

This paper cites Cross-domain adaptive teacher for object detection.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Cross-domain adaptive teacher for object detection

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.364574Z

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Observation bd2bdb71-c2e9-4d69-bc0b-53c3f39637cb · outbound

This paper cites Domain-invariant disentan- gled network for generalizable object detection.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Domain-invariant disentan- gled network for generalizable object detection

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.354539Z

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Observation 9454c2d8-ccbc-43f2-9f21-b0c35433214c · outbound

This paper cites Microsoft coco: Common objects in context.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Microsoft coco: Common objects in context

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.345227Z

Source-reported events for the cited work

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Observation 7ac37cd2-d734-4ff4-8197-6ba5feec4078 · outbound

This paper cites Cigar: Cross-modality graph reasoning for domain adaptive object detection.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Cigar: Cross-modality graph reasoning for domain adaptive object detection

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.334672Z

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Observation e1b2c581-ac86-4480-92bb-4092b7527dd4 · outbound

This paper cites Unbiased faster r-cnn for single- source domain generalized object detection.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Unbiased faster r-cnn for single- source domain generalized object detection

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.324322Z

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Observation 71e96280-0230-4eff-bcda-2004f0e2fc49 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Swin transformer: Hierarchical vision transformer using shifted windows

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.315409Z

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Observation 3eef6879-1c5d-43a1-96da-ae26456c0cf7 · outbound

This paper cites A convnet for the 2020s.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability A convnet for the 2020s

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Resolution: unresolved; no resolver link, observed 2026-08-06T22:43:41.784827Z

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Observation 96d9731c-5e98-4a58-bbab-0f4d369ed25b · outbound

This paper cites Diffusion hyperfeatures: Searching through time and space for semantic correspondence.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Diffusion hyperfeatures: Searching through time and space for semantic correspondence

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.300848Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 94579aac-f4a2-4c5f-b28c-30cb630682b7 · outbound

This paper cites Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T22:43:41.792002Z

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Observation fc03da3d-9916-4c9a-a867-8f5a57238f0a · outbound

This paper cites Zero-shot text-to-image generation.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Zero-shot text-to-image generation

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T22:43:41.795474Z

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Observation 11585516-c823-4263-9d44-79ca8774932a · outbound

This paper cites Srcd: Semantic reasoning with com- pound domains for single-domain generalized object detec- tion.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Srcd: Semantic reasoning with com- pound domains for single-domain generalized object detec- tion

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.286536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8b16d8ca-2b7a-4176-aaa5-3af95c42db3a · outbound

This paper cites YOLOv3: An Incremental Improvement.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability YOLOv3: An Incremental Improvement

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T22:43:41.802526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 808eb2ac-f3d8-4d5a-ae50-5fd78977d5b2 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.276920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bc3f5ed5-95ea-4eac-b7b2-4c3b9e4ab716 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability High-resolution image synthesis with latent diffusion models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T22:43:41.809838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12b0350c-9201-4d35-ad8c-cb4929d53db0 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Photorealistic text-to-image diffusion models with deep language understanding

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T22:43:41.812912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af803935-eb30-432c-9987-3f5533dc89e9 · outbound

This paper cites Strong-weak distribution alignment for adaptive ob- ject detection.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Strong-weak distribution alignment for adaptive ob- ject detection

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.256019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fbe6bc3a-fb1f-4128-bc83-c4f05c621ae3 · outbound

This paper cites Seman- tic foggy scene understanding with synthetic data.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Seman- tic foggy scene understanding with synthetic data

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.246578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d6e2536d-9d54-400e-a684-732830d802f2 · outbound

This paper cites Denoising Diffusion Implicit Models.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Denoising Diffusion Implicit Models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T22:43:41.822590Z

Source-reported events for the cited work

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Observation d3a47591-fc5f-47a7-8662-f63f5bd7a38d · outbound

This paper cites Fsce: Few-shot object detection via contrastive pro- posal encoding.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Fsce: Few-shot object detection via contrastive pro- posal encoding

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.236785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 25e9a2db-b69d-41a5-b0fc-ac74b2f7647e · outbound

This paper cites Emergent correspondence from image diffusion.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Emergent correspondence from image diffusion

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.227936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fbc7f723-63da-449d-9446-709244463ae0 · outbound

This paper cites Fcos: A simple and strong anchor-free object detector.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Fcos: A simple and strong anchor-free object detector

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.218179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fe095c62-7f75-4e42-bfb1-ab29b5ca1d30 · outbound

This paper cites Clip the gap: A single domain generalization approach for object detection.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Clip the gap: A single domain generalization approach for object detection

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.209253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1baa45c1-3e2d-419d-ae20-cdd7086abbeb · outbound

This paper cites Generalizing to unseen domains: A survey on do- main generalization.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Generalizing to unseen domains: A survey on do- main generalization

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.200071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8fb3d7a0-dedc-461b-a5d8-49cd5e0cff38 · outbound

This paper cites Crosskd: Cross-head knowledge distillation for object detection.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Crosskd: Cross-head knowledge distillation for object detection

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.190575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f644bd35-dd96-461b-a526-f41f9b7cd618 · outbound

This paper cites Instancediffusion: Instance- level control for image generation.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Instancediffusion: Instance- level control for image generation

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.181009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 705ace2e-9940-47da-b635-f264b654f836 · outbound

This paper cites Detdiffusion: Synergizing gen- erative and perceptive models for enhanced data generation and perception.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Detdiffusion: Synergizing gen- erative and perceptive models for enhanced data generation and perception

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.171703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6d471c33-0e4b-4de0-83c5-dad87d3fbc75 · outbound

This paper cites Mean teacher detr with masked feature alignment: a robust domain adaptive detection trans- former framework.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Mean teacher detr with masked feature alignment: a robust domain adaptive detection trans- former framework

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.162053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 305454ec-ecc0-4885-aead-42665f67ae4c · outbound

This paper cites Single-domain generalized ob- ject detection in urban scene via cyclic-disentangled self- distillation.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Single-domain generalized ob- ject detection in urban scene via cyclic-disentangled self- distillation

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T22:43:41.855783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2ad4ea3-a25e-410a-bfa0-234567c31664 · outbound

This paper cites G-nas: Generalizable neu- ral architecture search for single domain generalization ob- ject detection.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability G-nas: Generalizable neu- ral architecture search for single domain generalization ob- ject detection

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.147426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fd14e8ea-6a68-4c8d-88b3-eee620a93bc0 · outbound

This paper cites Exploring categorical regularization for domain adap- tive object detection.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Exploring categorical regularization for domain adap- tive object detection

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.137948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d6a2863a-c659-4e09-af60-06be7120f89f · outbound

This paper cites Open-vocabulary panop- tic segmentation with text-to-image diffusion models.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Open-vocabulary panop- tic segmentation with text-to-image diffusion models

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T22:43:41.866068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dd9ef82-5127-4be2-a137-a95ac6c607ec · outbound

This paper cites Multi-view adversarial discriminator: Mine the non-causal factors for object detection in unseen domains.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Multi-view adversarial discriminator: Mine the non-causal factors for object detection in unseen domains

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.123227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e24bda34-5716-4949-bf1b-8cbe5f4a327a · outbound

This paper cites A fourier-based framework for domain generaliza- tion.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability A fourier-based framework for domain generaliza- tion

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.113500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bfc38c7d-9a43-48a5-8b15-ed94f84a9038 · outbound

This paper cites PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T22:43:41.875843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf458bbc-54aa-45fd-a5b9-de442cae1fb7 · outbound

This paper cites Fda: Fourier domain adaptation for semantic segmentation.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Fda: Fourier domain adaptation for semantic segmentation

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.104045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d7ae33fd-6eb3-43d0-928c-bad6a82c52a6 · outbound

This paper cites Bdd100k: A diverse driving dataset for heterogeneous multitask learning.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Bdd100k: A diverse driving dataset for heterogeneous multitask learning

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-06T22:43:41.882487Z

Source-reported events for the cited work

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Observation ba3bafc5-3402-461c-8253-08631f31df86 · outbound

This paper cites Mttrans: Cross- domain object detection with mean teacher transformer.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Mttrans: Cross- domain object detection with mean teacher transformer

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.089435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 094cc018-3989-4cda-8a34-01e13b8269d3 · outbound

This paper cites Dino: Detr with improved denoising anchor boxes for end-to-end object de- tection.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Dino: Detr with improved denoising anchor boxes for end-to-end object de- tection

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.079917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8709e612-28e7-4325-867b-4126fb5fde26 · outbound

This paper cites Robust domain adaptive object detection with unified multi-granularity alignment.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Robust domain adaptive object detection with unified multi-granularity alignment

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.070528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cd46b564-ae5d-42ad-8a31-1b0b36ddc481 · outbound

This paper cites Task-specific inconsistency alignment for domain adaptive object detection.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Task-specific inconsistency alignment for domain adaptive object detection

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.061163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d815f8d9-28ba-42c2-b462-1dfbda44c0b0 · outbound

This paper cites Style-hallucinated dual consistency learning for domain generalized semantic segmentation.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Style-hallucinated dual consistency learning for domain generalized semantic segmentation

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.051314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d4e54b25-a4c5-4725-bae4-04f3666261fa · outbound

This paper cites Domain Generalization with MixStyle.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Domain Generalization with MixStyle

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-06T22:43:41.901338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6619046c-5b61-4a81-bb75-d332fe687baa · outbound

This paper cites Domain generalization: A survey.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Domain generalization: A survey

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-06T22:43:41.904870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 331a6b96-3551-4d76-91b5-2dd4415fc625 · outbound

This paper cites Multi-granularity alignment domain adaptation for object detection.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Multi-granularity alignment domain adaptation for object detection

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.035857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 721fb3e8-8d33-453f-83e8-b3d1381f9b1e · outbound

This paper cites Unsupervised domain adaptive detection with network sta- bility analysis.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Unsupervised domain adaptive detection with network sta- bility analysis

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.025464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cf441112-0ca0-4328-9ae8-7aa41950419c · outbound

This paper cites Unpaired image-to-image translation using cycle- consistent adversarial networks.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Unpaired image-to-image translation using cycle- consistent adversarial networks

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-06T22:43:41.914525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9bc0164-a01c-4191-9c7a-d1477b58f517 · outbound

This paper cites Localized adversarial domain generalization.

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability Localized adversarial domain generalization

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:42.009995Z

Source-reported events for the cited work

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