TITAN: Query-Token based Domain Adaptive Adversarial Learning | Paper Citation Record

Observation 7b39d35a-7b33-4d80-805f-667be79611d7 · outbound

This paper cites Attention is all you need.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Attention is all you need

Reference 1

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Observation f39597a5-5a07-4f11-8af9-4839fba7b440 · outbound

This paper cites Spectrally-normalized margin bounds for neural networks.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Spectrally-normalized margin bounds for neural networks

Reference 2

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Observation 6d7cc467-aa9c-49a3-98fd-aa98682ac1a3 · outbound

This paper cites Weakly supervised deep detection networks.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Weakly supervised deep detection networks

Reference 3

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This paper cites Weakly supervised object detection with convex clustering.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Weakly supervised object detection with convex clustering

Reference 4

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Observation c4886e08-cac3-4bc5-9358-e183f1b09329 · outbound

This paper cites Weight uncertainty in neural networks.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Weight uncertainty in neural networks

Reference 5

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Observation a5102a32-227c-4455-8b39-173d7afe52ba · outbound

This paper cites End- to-end object detection with transformers.

TITAN: Query-Token based Domain Adaptive Adversarial Learning End- to-end object detection with transformers

Reference 6

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Observation bc34a41f-efd2-4d67-8b66-9e44200a105b · outbound

This paper cites Rsna screening mammog- raphy breast cancer detection.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Rsna screening mammog- raphy breast cancer detection

Reference 7

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Observation 4dfd6ad3-a1d4-4a42-ae4d-5f1afafaf0ca · outbound

This paper cites Harmonizing transferability and discriminability for adapting object detectors.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Harmonizing transferability and discriminability for adapting object detectors

Reference 8

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Observation 408ec251-a29a-4b2d-a5ae-6e8391f012cd · outbound

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

TITAN: Query-Token based Domain Adaptive Adversarial Learning Domain adaptive faster r-cnn for object detection in the wild

Reference 9

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Observation 91a2a03a-f1d7-4004-a15f-5644b832671c · outbound

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

TITAN: Query-Token based Domain Adaptive Adversarial Learning Domain adaptive faster r-cnn for object detection in the wild

Reference 10

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Observation b1b0ada1-ccc1-4421-8a0d-a9b0b3a7cfe5 · outbound

This paper cites No more discrim- ination: Cross city adaptation of road scene segmenters.

TITAN: Query-Token based Domain Adaptive Adversarial Learning No more discrim- ination: Cross city adaptation of road scene segmenters

Reference 11

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Observation 748697a8-2dbd-4ab0-92ab-557ef63a391c · outbound

This paper cites Towards large-scale small object detection: Survey and benchmarks.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Towards large-scale small object detection: Survey and benchmarks

Reference 12

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Observation 2f5d48ed-6894-4517-9156-c2178bb2c508 · outbound

This paper cites Adversarial alignment for source free object detection.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Adversarial alignment for source free object detection

Reference 13

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Observation a32e52b3-6198-4ace-a61e-98841cdd2845 · outbound

This paper cites Weakly supervised object localization with multi- fold multiple instance learning.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Weakly supervised object localization with multi- fold multiple instance learning

Reference 14

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Observation f3dd9b6e-65c5-4bd3-9e85-a936aa747a91 · outbound

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

TITAN: Query-Token based Domain Adaptive Adversarial Learning The cityscapes dataset for semantic urban scene understanding

Reference 15

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Observation f6b4f0d1-fce8-4093-9062-e03f63d67516 · outbound

This paper cites Up-detr: Unsupervised pre-training for object detection with transformers.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Up-detr: Unsupervised pre-training for object detection with transformers

Reference 16

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Observation 2bb4838b-6312-40f5-9e3c-9c3371188f4c · outbound

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

TITAN: Query-Token based Domain Adaptive Adversarial Learning Imagenet: A large-scale hierarchical image database

Reference 17

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Observation 966298ee-e6f1-4873-abac-4f7a976bbff4 · outbound

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

TITAN: Query-Token based Domain Adaptive Adversarial Learning Un- biased mean teacher for cross-domain object detection

Reference 18

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Observation 62fa5737-561e-4d80-ace0-1cc98cd8271f · outbound

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

TITAN: Query-Token based Domain Adaptive Adversarial Learning Un- biased mean teacher for cross-domain object detection

Reference 19

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Observation b9749ffa-e683-417f-994b-97a7e7099c14 · outbound

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

TITAN: Query-Token based Domain Adaptive Adversarial Learning Harmo- nious teacher for cross-domain object detection

Reference 20

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Observation 2c9132a7-4398-448a-936e-aeb8fbe9d7ea · outbound

This paper cites Confident anchor-induced multi-source free domain adaptation.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Confident anchor-induced multi-source free domain adaptation

Reference 21

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Observation 27ee94ad-c243-41dd-bf66-9351f42fa0c4 · outbound

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

TITAN: Query-Token based Domain Adaptive Adversarial Learning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 22

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Observation 1534a34e-320f-4130-8c34-ba98ae2c6ace · outbound

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

TITAN: Query-Token based Domain Adaptive Adversarial Learning The pascal visual object classes (voc) challenge

Reference 23

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Observation 27b823c4-7838-48d1-9d3e-f6d736ebc3d9 · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Reference 24

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Observation dc8db0b0-874a-4dea-89ec-c36cd1ae724a · outbound

This paper cites Domain-adversarial training of neural networks.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Domain-adversarial training of neural networks

Reference 25

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Observation 686e505f-969d-40ba-9326-a7b767d66490 · outbound

This paper cites Csda: Learning category-scale joint feature for domain adaptive object detection.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Csda: Learning category-scale joint feature for domain adaptive object detection

Reference 26

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Observation 78266972-72d7-44e7-a3ed-9a86cf58abe7 · outbound

This paper cites Vision meets robotics: The kitti dataset.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Vision meets robotics: The kitti dataset

Reference 27

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Observation 73e819b3-6651-4c3c-a505-00c61b5da459 · outbound

This paper cites Fast r-cnn.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Fast r-cnn

Reference 28

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Observation 97d86fb0-067b-4792-9ade-f721431296b8 · outbound

This paper cites Improving transferability for domain adaptive detection transformers.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Improving transferability for domain adaptive detection transformers

Reference 29

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Observation c650e347-3fd2-4fc7-8fd8-c761360d843f · outbound

This paper cites Generative adversarial nets.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Generative adversarial nets

Reference 30

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Observation 5be3cc6a-ff42-44d3-855a-7265ae570c8e · outbound

This paper cites Boosting weakly supervised object detection using fusion and priors from hallucinated depth.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Boosting weakly supervised object detection using fusion and priors from hallucinated depth

Reference 31

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Observation 28c6aa98-d003-48a0-96eb-449dab73a36d · outbound

This paper cites Recent advances in deep learning theory.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Recent advances in deep learning theory

Reference 32

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Observation f001f1d2-c8f0-4ab3-9d81-84fa1294ae80 · outbound

This paper cites Why resnet works? residuals generalize.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Why resnet works? residuals generalize

Reference 33

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Observation d2e1dc7a-5c8b-40ee-bdee-dd9a09bde538 · outbound

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

TITAN: Query-Token based Domain Adaptive Adversarial Learning Cross domain object detection by target-perceived dual branch distillation

Reference 34

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Observation 29ffd1cb-93fd-45ac-b0e6-9623c6c173d3 · outbound

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

TITAN: Query-Token based Domain Adaptive Adversarial Learning Cross domain object detection by target-perceived dual branch distillation

Reference 35

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Observation 12a8595e-5667-41d2-b689-4864cc756915 · outbound

This paper cites Multi-adversarial faster-rcnn for unrestricted object detection.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Multi-adversarial faster-rcnn for unrestricted object detection

Reference 36

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Observation 6468b2f4-7e3b-42e7-bbfc-c85261fd6a5f · outbound

This paper cites FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation.

TITAN: Query-Token based Domain Adaptive Adversarial Learning FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation

Reference 37

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Observation 9c8f03e3-827d-4b2b-9e83-09442344a486 · outbound

This paper cites Cycada: Cycle-consistent adversarial domain adaptation.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Cycada: Cycle-consistent adversarial domain adaptation

Reference 38

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Observation 4a12ab81-268b-43ae-af6b-51f4df785893 · outbound

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

TITAN: Query-Token based Domain Adaptive Adversarial Learning Every pixel matters: Center-aware feature alignment for domain adaptive object detector

Reference 39

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Observation 468665b0-0f14-498a-89dc-28c0216f58f3 · outbound

This paper cites Model adaptation: Historical contrastive learning for unsu- pervised domain adaptation without source data.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Model adaptation: Historical contrastive learning for unsu- pervised domain adaptation without source data

Reference 40

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Observation b2150efb-fbc7-45c0-8056-92a503693111 · outbound

This paper cites Model adaptation: Historical contrastive learning for un- supervised domain adaptation without source data, 2022.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Model adaptation: Historical contrastive learning for un- supervised domain adaptation without source data, 2022

Reference 41

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Observation 0ac99ff0-b1e3-4527-8d99-fb57ca2f78f8 · outbound

This paper cites Aqt: Adversarial query transformers for domain adaptive object detection.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Aqt: Adversarial query transformers for domain adaptive object detection

Reference 42

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Observation 1311d46b-06d2-4f8f-8863-bba3df1444f3 · outbound

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

TITAN: Query-Token based Domain Adaptive Adversarial Learning Cross-domain weakly-supervised object detection through progressive domain adaptation

Reference 43

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This paper cites Decoupled adaptation for cross-domain object detection, 2022.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Decoupled adaptation for cross-domain object detection, 2022

Reference 44

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Observation 56fc2717-ea7a-4b08-8326-87250d8c39f0 · outbound

This paper cites Variational model perturbation for source-free do- main adaptation.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Variational model perturbation for source-free do- main adaptation

Reference 45

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Observation f411fca3-2aaa-45cc-884b-9644178b16cb · outbound

This paper cites Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?

Reference 46

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This paper cites Haupt- mann.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Haupt- mann

Reference 47

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Observation 5686201d-4a11-42d4-841d-0acf3f03bbea · outbound

This paper cites To miss-attend is to misalign! residual self-attentive feature alignment for adapting object detectors.

TITAN: Query-Token based Domain Adaptive Adversarial Learning To miss-attend is to misalign! residual self-attentive feature alignment for adapting object detectors

Reference 48

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Observation 7e567f55-b885-4422-a8ec-82cd381b7b74 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Adam: A Method for Stochastic Optimization

Reference 49

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Observation 2b828991-491f-4fd2-ba86-2192372d7f17 · outbound

This paper cites Weakly supervised virus capsid detection with image-level annotations in electron microscopy images.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Weakly supervised virus capsid detection with image-level annotations in electron microscopy images

Reference 50

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Observation c3376ffc-29c6-4509-a9d2-e1365b3a58cd · outbound

This paper cites A curated mammography data set for use in computer-aided detection and diagnosis research.

TITAN: Query-Token based Domain Adaptive Adversarial Learning A curated mammography data set for use in computer-aided detection and diagnosis research

Reference 51

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Observation 240a4ca5-ae4d-48b3-b0a1-edf8037b520a · outbound

This paper cites Spatial attention pyramid network for unsupervised domain adaptation, 2020.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Spatial attention pyramid network for unsupervised domain adaptation, 2020

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:55.394919Z

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Observation 5d54d993-7962-43c5-85c1-f88ddf7169fe · outbound

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

TITAN: Query-Token based Domain Adaptive Adversarial Learning Source-free object detection by learning to overlook domain style

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:55.324417Z

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Observation 344d6e34-d95b-4b22-a1bb-85a8838da511 · outbound

This paper cites Sigma: Semantic- complete graph matching for domain adaptive object de- tection.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Sigma: Semantic- complete graph matching for domain adaptive object de- tection

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:55.176491Z

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Observation f2f2e38f-80e0-4f1a-a183-9afcf279eead · outbound

This paper cites A free lunch for unsuper- vised domain adaptive object detection without source data,.

TITAN: Query-Token based Domain Adaptive Adversarial Learning A free lunch for unsuper- vised domain adaptive object detection without source data,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:55.071220Z

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Observation 343e52d8-434a-4ee4-ae12-3dce88f96c47 · outbound

This paper cites A free lunch for unsu- pervised domain adaptive object detection without source data.

TITAN: Query-Token based Domain Adaptive Adversarial Learning A free lunch for unsu- pervised domain adaptive object detection without source data

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:54.887890Z

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Observation 8a1ce9c3-adfc-46b7-b734-94ebb58f4466 · outbound

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

TITAN: Query-Token based Domain Adaptive Adversarial Learning Cross-domain adaptive teacher for object detection

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:54.650467Z

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Observation 0c1e301c-51fb-45f5-9537-797ef962b6ce · outbound

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

TITAN: Query-Token based Domain Adaptive Adversarial Learning Cross-domain adaptive teacher for object detection,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:54.417120Z

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Observation d2da7110-249b-4d8a-8cd7-cd90c180a45a · outbound

This paper cites Do we really need to access the source data? source hypothesis transfer for un- supervised domain adaptation.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Do we really need to access the source data? source hypothesis transfer for un- supervised domain adaptation

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:54.303570Z

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Observation 7f641dd0-0e65-4e66-8c90-bd310995226b · outbound

This paper cites Microsoft coco: Common objects in context.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Microsoft coco: Common objects in context

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:54.166874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a2ea07c1-7091-41e4-b6a8-6ff6d12871a9 · outbound

This paper cites Focal loss for dense object detection.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Focal loss for dense object detection

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:54.017316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1b359cd0-b5d5-42e2-924b-86b4c2f2e92e · outbound

This paper cites Periodically exchange teacher-student for source-free object detection.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Periodically exchange teacher-student for source-free object detection

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:53.872657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 12833945-1255-4e73-8064-d5f36a542b0c · outbound

This paper cites Source-free domain adaptation for semantic segmentation.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Source-free domain adaptation for semantic segmentation

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:53.699698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b0a32f7d-499d-44fd-85f6-f12b0e078d3e · outbound

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

TITAN: Query-Token based Domain Adaptive Adversarial Learning Cigar: Cross-modality graph reasoning for domain adaptive object detection

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:53.532290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3f50fe70-c375-4a55-9206-a99ffd76886a · outbound

This paper cites Learning feature decomposition for domain adaptive monocular depth esti- mation.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Learning feature decomposition for domain adaptive monocular depth esti- mation

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:53.359901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0fa072a8-dba3-4516-82a1-4ffa4c0c6716 · outbound

This paper cites Crots: Cross-domain teacher–student learning for source-free domain adaptive semantic segmen- tation.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Crots: Cross-domain teacher–student learning for source-free domain adaptive semantic segmen- tation

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:53.255215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d69e77a0-0cf5-4a04-a715-89d37b0de746 · outbound

This paper cites Codet: Co-occurrence guided region-word alignment for open-vocabulary object detection.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Codet: Co-occurrence guided region-word alignment for open-vocabulary object detection

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:53.141497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5dbfb3b3-f227-44bf-b57b-01b5864311b1 · outbound

This paper cites Awada: Attention-weighted adversarial domain adaptation for object detection, 2022.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Awada: Attention-weighted adversarial domain adaptation for object detection, 2022

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:53.027326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 23d32639-4417-41c9-8789-5124d2ead3a4 · outbound

This paper cites In- breast: toward a full-field digital mammographic database.

TITAN: Query-Token based Domain Adaptive Adversarial Learning In- breast: toward a full-field digital mammographic database

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:52.940196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 39efe3a3-2c69-4f84-a156-8f0b95beb93e · outbound

This paper cites Ssal: Synergizing between self- training and adversarial learning for domain adaptive ob- ject detection.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Ssal: Synergizing between self- training and adversarial learning for domain adaptive ob- ject detection

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:52.876934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 573ecbee-df76-4011-862e-9940d5890972 · outbound

This paper cites Unsupervised domain adap- tation of object detectors: A survey.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Unsupervised domain adap- tation of object detectors: A survey

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:52.792631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation adeda84a-84cd-4b29-86c4-36610c430d5e · outbound

This paper cites Automatic differentiation in pytorch.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Automatic differentiation in pytorch

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:52.670196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6e26e3d3-51f1-42cf-8414-870e6561c758 · outbound

This paper cites Deep learning for detection of iso-dense, ob- scure masses in mammographically dense breasts.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Deep learning for detection of iso-dense, ob- scure masses in mammographically dense breasts

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:52.562972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5443c289-0522-4405-98a7-a14ea2a726f9 · outbound

This paper cites Yolo9000: better, faster, stronger.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Yolo9000: better, faster, stronger

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:52.480603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1b4a9269-f395-4806-b634-1da1e9032db1 · outbound

This paper cites You only look once: Unified, real-time object de- tection.

TITAN: Query-Token based Domain Adaptive Adversarial Learning You only look once: Unified, real-time object de- tection

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T22:31:41.627043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f0744d0-0550-4368-9ccc-a18ea7943b59 · outbound

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

TITAN: Query-Token based Domain Adaptive Adversarial Learning Faster r-cnn: Towards real-time object detection with re- gion proposal networks

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:52.390036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 447dcb0a-5404-4a95-872e-f6d076443e70 · outbound

This paper cites Seeking similarities over differences: Similarity-based do- main alignment for adaptive object detection.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Seeking similarities over differences: Similarity-based do- main alignment for adaptive object detection

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:52.270750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation daaecfcc-7578-4f50-9cea-9acf93e6ea7e · outbound

This paper cites Foundations of machine learning, 2012.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Foundations of machine learning, 2012

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:52.201531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e7da39bf-b573-4ce0-a096-c4675d494cff · outbound

This paper cites Maximum classifier discrepancy for unsuper- vised domain adaptation.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Maximum classifier discrepancy for unsuper- vised domain adaptation

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:52.082609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 202b2c77-6634-40c9-b87b-e47951a8ad25 · outbound

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

TITAN: Query-Token based Domain Adaptive Adversarial Learning Strong-weak distribution alignment for adaptive object detection

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:51.993680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5ef99426-cae5-4ccb-8361-05d7e4cc6149 · outbound

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

TITAN: Query-Token based Domain Adaptive Adversarial Learning Strong-weak distribution alignment for adaptive object detection

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:51.906583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c29be248-0f5b-4837-bf55-4dc4a97d5f33 · outbound

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

TITAN: Query-Token based Domain Adaptive Adversarial Learning Seman- tic foggy scene understanding with synthetic data

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:51.818218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d6f79ee1-45ba-4f80-8701-8c936dca3570 · outbound

This paper cites Fully convolutional one-stage 3d ob- ject detection on lidar range images.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Fully convolutional one-stage 3d ob- ject detection on lidar range images

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:51.747438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d48143dc-ea80-47f3-88e4-98f3d3e4ff0b · outbound

This paper cites Adversarial discriminative domain adaptation.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Adversarial discriminative domain adaptation

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:51.624106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f03e07b2-15e1-43e8-8778-1fc6473040af · outbound

This paper cites Sindagi, and Vishal M.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Sindagi, and Vishal M

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:51.523506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8336847a-620e-4891-8ab5-941cb0f75b99 · outbound

This paper cites Mixture of teacher experts for source-free do- main adaptive object detection.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Mixture of teacher experts for source-free do- main adaptive object detection

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:51.441963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7ae89c7e-4650-4859-975c-3ad781f6054c · outbound

This paper cites Instance relation graph guided source-free domain adaptive object detection.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Instance relation graph guided source-free domain adaptive object detection

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:51.349927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 93a8596b-a468-4353-9c37-d4af76ca5198 · outbound

This paper cites Towards on- line domain adaptive object detection.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Towards on- line domain adaptive object detection

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:51.213347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a1d2cf00-eb03-43ff-8c1d-3c769520e58d · outbound

This paper cites Weakly supervised lesion detection and diagnosis for breast cancers with partially annotated ultrasound images.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Weakly supervised lesion detection and diagnosis for breast cancers with partially annotated ultrasound images

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:51.115410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fa3d8e8f-be21-43d1-a3a5-a1182db801d6 · outbound

This paper cites Exploring sequence feature alignment for domain adaptive detection transformers.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Exploring sequence feature alignment for domain adaptive detection transformers

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:50.951224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6f7dcdab-03b2-409e-bd58-dd2dd9d1022d · outbound

This paper cites Point Linking Network for Object Detection.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Point Linking Network for Object Detection

Reference 91

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:31:45.683287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f69b915a-02b8-4314-a72e-6cdc3a2f33a7 · outbound

This paper cites Towards universal object detection by domain attention.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Towards universal object detection by domain attention

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:50.772176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e29e7a54-1b6c-4964-9a6e-5a77db72f00a · outbound

This paper cites Domain-specific suppres- sion for adaptive object detection, 2021.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Domain-specific suppres- sion for adaptive object detection, 2021

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:50.599479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f735513c-d20a-4662-9dbb-a12dd5636f68 · outbound

This paper cites Alwod: Active learning for weakly-supervised object detection.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Alwod: Active learning for weakly-supervised object detection

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:50.500109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bd6cfe15-8873-442e-a823-8d67ad79c53e · outbound

This paper cites Metateacher: Coordinating multi- model domain adaptation for medical image classification.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Metateacher: Coordinating multi- model domain adaptation for medical image classification

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:50.352873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5fdb7b8b-d9ad-4887-8a3b-a9386aab07b7 · outbound

This paper cites Adap- tive adversarial network for source-free domain adaptation.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Adap- tive adversarial network for source-free domain adaptation

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:50.244061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6e80856a-8309-420c-8cd7-a55dc5e50a4a · outbound

This paper cites Source data-free domain adaptation of object detector through domain-specific perturbation.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Source data-free domain adaptation of object detector through domain-specific perturbation

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:50.126462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 62cffb3c-b7d7-4bb3-a8ff-b9a0afe1fa86 · outbound

This paper cites Source data-free domain adaptation of object detector through domain-specific perturbation.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Source data-free domain adaptation of object detector through domain-specific perturbation

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:49.923975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cda68f0c-90ca-4dcb-9636-f492f9faefcb · outbound

This paper cites Exploring categorical regularization for domain adap- tive object detection, 2020.

TITAN: Query-Token based Domain Adaptive Adversarial Learning Exploring categorical regularization for domain adap- tive object detection, 2020

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:49.663092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f5d0727e-2e1e-43f5-b36e-36481e61d3e4 · outbound

This paper cites H2fa r-cnn: Holistic and hierarchical feature align- ment for cross-domain weakly supervised object detection.

TITAN: Query-Token based Domain Adaptive Adversarial Learning H2fa r-cnn: Holistic and hierarchical feature align- ment for cross-domain weakly supervised object detection

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:49.331992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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