UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement | Paper Citation Record

Observation a10f9a4b-6251-4e01-ac24-77d12f3d0e8b · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Flamingo: a visual language model for few-shot learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T21:15:08.643216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c70a0be-fd0f-4823-8f85-ce709180d831 · outbound

This paper cites ZoDi: Zero-Shot Domain Adaptation with Diffusion-Based Image Transfer.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement ZoDi: Zero-Shot Domain Adaptation with Diffusion-Based Image Transfer

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T21:15:08.678529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4facf9e-8012-4246-afa6-c2bd9e4bb1f4 · outbound

This paper cites Diprompt: Disentan- gled prompt tuning for multiple latent domain generalization in federated learning.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Diprompt: Disentan- gled prompt tuning for multiple latent domain generalization in federated learning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:39.307608Z

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 3c05562d-2d07-434a-ae67-4c81139daaa4 · outbound

This paper cites Multi-source domain adaptation for object detection with prototype-based mean teacher.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Multi-source domain adaptation for object detection with prototype-based mean teacher

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:39.257213Z

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 cfc5d7b2-9db2-487f-94bf-9964a0d244a8 · outbound

This paper cites Stylip: Multi-scale style- conditioned prompt learning for clip-based domain general- ization.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Stylip: Multi-scale style- conditioned prompt learning for clip-based domain general- ization

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:39.218633Z

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 35ce467a-560f-4fbe-bc11-f5f7256372a9 · outbound

This paper cites Domain-controlled prompt learning.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Domain-controlled prompt learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:39.195508Z

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 5ea2a949-629d-4612-8afe-9c341ea02ad3 · outbound

This paper cites PaLI: A Jointly-Scaled Multilingual Language-Image Model.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement PaLI: A Jointly-Scaled Multilingual Language-Image Model

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T21:15:08.849536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25fc4e72-ecc9-499c-9587-8aff31b23710 · outbound

This paper cites Disentangled prompt rep- resentation for domain generalization.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Disentangled prompt rep- resentation for domain generalization

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:39.170891Z

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 3854cfcf-569a-42d6-bc61-48c42f5ee1df · outbound

This paper cites Gpg: A simple and strong reinforce- ment learning baseline for model reasoning.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Gpg: A simple and strong reinforce- ment learning baseline for model reasoning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T21:15:08.916559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 144dc8ec-80a6-459b-b541-4b499418a977 · outbound

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

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement The cityscapes dataset for semantic urban scene understanding

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:39.147425Z

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 fb67a169-b965-4d21-8751-b234a04f52e4 · outbound

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

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Improving single domain-generalized object detection: A focus on diversification and alignment

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:39.124246Z

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 6f898e3b-c323-4b8b-bd59-da100e001789 · outbound

This paper cites Learning to prompt for open-vocabulary object detection with vision-language model.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Learning to prompt for open-vocabulary object detection with vision-language model

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:39.101124Z

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 185a2cc2-a84b-45f0-831b-166ea7093cc5 · outbound

This paper cites Boosting object detection with zero-shot day-night domain adaptation.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Boosting object detection with zero-shot day-night domain adaptation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:39.074015Z

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 a13b5fb6-31ce-466f-af87-b73c989777ed · outbound

This paper cites Poda: Prompt-driven zero- shot domain adaptation.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Poda: Prompt-driven zero- shot domain adaptation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:39.054151Z

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 257f5f84-c41f-474f-9cf1-ff7c06f17f1a · outbound

This paper cites Rapid: Zero-shot domain adaptation for code search with pre-trained models.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Rapid: Zero-shot domain adaptation for code search with pre-trained models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:39.016395Z

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 d963b353-6e23-4b59-9bfb-791feb2b95a1 · outbound

This paper cites Domain adaptation via prompt learning.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Domain adaptation via prompt learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:38.983681Z

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 17dc71d2-400f-4c5d-b9ac-06e1c4086f39 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:38.947183Z

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 89b2f87d-b6c8-475b-9203-3a186befb22c · outbound

This paper cites Generative adversarial nets.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Generative adversarial nets

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T21:15:09.279975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d039852-839c-45e6-b33d-eb4608751813 · outbound

This paper cites Vehicle detection and tracking in ad- verse weather using a deep learning framework.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Vehicle detection and tracking in ad- verse weather using a deep learning framework

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:38.904191Z

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 287fc421-5189-4511-8ea5-065e952460a9 · outbound

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

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Generalized diffusion detector: Mining robust features from diffusion models for domain-generalized de- tection

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:38.866151Z

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 c68388f8-5415-4d3a-a520-8f7e9c2bd51a · outbound

This paper cites Deep residual learning for image recognition.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Deep residual learning for image recognition

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T21:15:09.359643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7682043b-bdfd-4001-9f68-74eac0c91ebd · outbound

This paper cites Unsu- pervised prompt tuning for text-driven object detection.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Unsu- pervised prompt tuning for text-driven object detection

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:38.828155Z

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 20ad8f56-af45-4117-8185-6935fe018d25 · outbound

This paper cites Progressive domain adaptation for object detection.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Progressive domain adaptation for object detection

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:38.805065Z

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 97052f87-7b28-4258-b678-b75715e2a4c4 · outbound

This paper cites Arbitrary style transfer in real-time with adaptive instance normalization.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Arbitrary style transfer in real-time with adaptive instance normalization

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:38.776743Z

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 9027dbee-aff0-4732-b688-9de2fba59558 · outbound

This paper cites Diffusion features to bridge domain gap for semantic segmentation.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Diffusion features to bridge domain gap for semantic segmentation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:38.742645Z

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 2be158aa-1715-4aed-9608-4bc6f6605df1 · outbound

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

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T21:15:09.568426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07be341a-7e95-41b7-9e9e-c523ec8073e7 · outbound

This paper cites Vilt: Vision- and-language transformer without convolution or region su- pervision.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Vilt: Vision- and-language transformer without convolution or region su- pervision

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T21:15:09.593617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f99506c8-9af7-4b04-a445-6f163bd44c9a · outbound

This paper cites Zero- shot deep domain adaptation with common representation learning.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Zero- shot deep domain adaptation with common representation learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:38.699013Z

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 3bf8739f-d87a-4566-bf35-31f72c1601cb · outbound

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

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Object-aware domain generalization for object detection

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:38.630280Z

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 379af697-30af-457e-9fe6-eefe6f75d698 · outbound

This paper cites Zero-shot day-night domain adaptation with a physics prior.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Zero-shot day-night domain adaptation with a physics prior

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:38.551364Z

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 24d7d016-b75f-41cd-8647-c2b0178648f8 · outbound

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

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Prompt-driven dynamic object-centric learning for single do- main generalization

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:38.518118Z

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 50ea5ef3-fbc0-4ed0-9107-7abc1952fb06 · outbound

This paper cites Learning domain-aware detection head with prompt tuning.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Learning domain-aware detection head with prompt tuning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:38.491251Z

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 5fbc48d5-7326-4282-82a9-b87da5fe4c51 · outbound

This paper cites Da-ada: Learning domain-aware adapter for domain adaptive object detection.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Da-ada: Learning domain-aware adapter for domain adaptive object detection

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:38.467103Z

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 bfa9698a-dbfd-4101-81b9-26fa0b8fa6b6 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:38.438963Z

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 4b6acb63-dea0-4bb7-9427-6b2088950627 · outbound

This paper cites Align be- fore fuse: Vision and language representation learning with momentum distillation.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Align be- fore fuse: Vision and language representation learning with momentum distillation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:38.416416Z

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 e92b63d1-9063-485c-a45b-87c13ee32e94 · outbound

This paper cites A comprehensive survey on source-free domain adap- tation.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement A comprehensive survey on source-free domain adap- tation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:38.391356Z

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 64b85472-04f7-4584-89eb-35de61a8e3a2 · outbound

This paper cites Grounded language- image pre-training.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Grounded language- image pre-training

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:38.366154Z

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 4484fcf5-ad31-48e7-8156-875d54085542 · outbound

This paper cites Next Token Is Enough: Realistic Image Quality and Aesthetic Scoring with Multimodal Large Language Model.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Next Token Is Enough: Realistic Image Quality and Aesthetic Scoring with Multimodal Large Language Model

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T21:15:10.026891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6004d98-5edc-4aa0-838f-ffff15138a13 · outbound

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

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Unbiased faster r-cnn for single- source domain generalized object detection

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:38.350096Z

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 6ae0811b-09ac-4009-b8f8-2f5333c6bdf0 · outbound

This paper cites Similarity min-max: Zero-shot day-night domain adap- tation.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Similarity min-max: Zero-shot day-night domain adap- tation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:38.316543Z

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 1fed5744-3515-40f2-98fa-13df87d99826 · outbound

This paper cites Confmix: Unsupervised domain adaptation for object detection via confidence-based mixing.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Confmix: Unsupervised domain adaptation for object detection via confidence-based mixing

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:38.282529Z

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 9b54450b-f783-4dc7-b780-6716eb02138c · outbound

This paper cites Domain-aware vi- sual bias eliminating for generalized zero-shot learning.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Domain-aware vi- sual bias eliminating for generalized zero-shot learning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:38.256257Z

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 6e5beed3-4364-410d-9a8b-ec29cba6e012 · outbound

This paper cites Learning cnn on vit: A hybrid model to explicitly class-specific boundaries for domain adaptation.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Learning cnn on vit: A hybrid model to explicitly class-specific boundaries for domain adaptation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:38.222325Z

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 ddec86c4-e34d-4f81-a0a9-e65bd903f300 · outbound

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

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Unsupervised domain adap- tation of object detectors: A survey

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:38.175100Z

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 a504d857-5351-42c9-a709-567c29c8a0fa · outbound

This paper cites Zero-shot deep domain adaptation.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Zero-shot deep domain adaptation

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:38.140029Z

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 42f2901e-b706-4c1b-8f84-38dfaa5915d8 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Learning transferable visual models from natural language supervi- sion

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:38.107278Z

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 65aa3436-6205-4218-b32c-fca2b2fa14d8 · outbound

This paper cites SRCD: Semantic Reasoning with Compound Domains for Single-Domain Generalized Object Detection.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement SRCD: Semantic Reasoning with Compound Domains for Single-Domain Generalized Object Detection

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:15:11.545334Z

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 946de636-4f79-4dd1-8c9d-7af37def0bf3 · outbound

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

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:38.076185Z

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 b5338440-9f65-4be3-a16a-a10d87a773bd · outbound

This paper cites Se- mantic foggy scene understanding with synthetic data.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Se- mantic foggy scene understanding with synthetic data

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:38.039511Z

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 7c8ce7e2-a88a-49e7-97a5-eb1f5a6630fc · outbound

This paper cites Ad-clip: Adapting domains in prompt space using clip.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Ad-clip: Adapting domains in prompt space using clip

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:37.997611Z

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 f6da0711-7b46-4cad-a044-6010329afd61 · outbound

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

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Clip the gap: A single domain generalization approach for object detection

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T21:15:10.435821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 293e1b1b-fde9-4780-b004-5fc1a61d6769 · outbound

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

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Instance relation graph guided source-free domain adaptive object de- tection

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:37.827385Z

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 ec40fe8f-0ac7-4b4c-8c24-1bd7017c80ef · outbound

This paper cites Pond: Multi-source time se- ries domain adaptation with information-aware prompt tun- ing.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Pond: Multi-source time se- ries domain adaptation with information-aware prompt tun- ing

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:37.700989Z

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 3e5638da-896a-4fbe-a2d0-b3b8c67e5e08 · outbound

This paper cites Do- main shift preservation for zero-shot domain adaptation.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Do- main shift preservation for zero-shot domain adaptation

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:37.649420Z

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 196790e4-78a4-4ea5-8afa-e6f545421c48 · outbound

This paper cites Conditional coupled gen- erative adversarial networks for zero-shot domain adaptation.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Conditional coupled gen- erative adversarial networks for zero-shot domain adaptation

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:37.567023Z

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 36f73716-8287-4fb7-bc07-fd03af6177ae · outbound

This paper cites Adversarial learning for zero-shot domain adaptation.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Adversarial learning for zero-shot domain adaptation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:37.482118Z

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 be1866fa-c76b-412b-85c2-ce5d8d679ff3 · outbound

This paper cites Learning across tasks for zero-shot domain adaptation from a single source domain.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Learning across tasks for zero-shot domain adaptation from a single source domain

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:37.409736Z

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 0d43224c-fdee-474a-a288-150e1f043354 · outbound

This paper cites Ofa: Unifying architectures, tasks, and modalities through a simple sequence-to-sequence learning framework.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Ofa: Unifying architectures, tasks, and modalities through a simple sequence-to-sequence learning framework

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:37.356351Z

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 2501a831-ac47-458b-b2ea-68f409dc3ce5 · outbound

This paper cites Simvlm: Simple visual language model pretraining with weak supervision.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Simvlm: Simple visual language model pretraining with weak supervision

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:37.307645Z

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 852bb08a-af76-4c13-8144-267913f04527 · outbound

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

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Single-domain generalized object detection in urban scene via cyclic-disentangled self- distillation

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:37.261473Z

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 50d11841-089c-4b00-8a74-3295a7d63ce5 · outbound

This paper cites G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection

Reference 61

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:15:11.471998Z

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 ed626ea7-94bc-4078-b49c-6c1f5a72afa3 · outbound

This paper cites Hgnet: Hybrid generative network for zero-shot domain adaptation.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Hgnet: Hybrid generative network for zero-shot domain adaptation

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:37.237965Z

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 856867c7-7eb0-420a-94df-78fab8fa2697 · outbound

This paper cites Mmap: Multi-modal alignment prompt for cross- domain multi-task learning.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Mmap: Multi-modal alignment prompt for cross- domain multi-task learning

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:37.212765Z

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 0c036885-32f3-4296-b503-6188a077c6e7 · outbound

This paper cites Hs-star: Hierarchical sampling for self-taught reasoners via difficulty estimation and budget reallocation, 2025.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Hs-star: Hierarchical sampling for self-taught reasoners via difficulty estimation and budget reallocation, 2025

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:37.162011Z

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 ab7f5eca-8026-42fb-b81c-b97160e7b12a · outbound

This paper cites Unified language-driven zero-shot domain adaptation.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Unified language-driven zero-shot domain adaptation

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:37.109058Z

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 82f68bb9-41db-467c-8fa4-13d80c0e346a · outbound

This paper cites Bdd100k: A diverse driving dataset for heterogeneous multi- task learning.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Bdd100k: A diverse driving dataset for heterogeneous multi- task learning

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:37.084913Z

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 468f0d53-751a-436b-a21e-1bfde487558e · outbound

This paper cites CoCa: Contrastive Captioners are Image-Text Foundation Models.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement CoCa: Contrastive Captioners are Image-Text Foundation Models

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T21:15:11.015586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c855f657-6ed0-4968-8f2f-36724f135904 · outbound

This paper cites Learning domain invariant prompt for vision-language models.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Learning domain invariant prompt for vision-language models

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:36.997181Z

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 9fd624f0-bc8d-470f-b864-f8f3521ba336 · outbound

This paper cites Scene-adaptive and region-aware multi-modal prompt for open vocabulary object detection.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Scene-adaptive and region-aware multi-modal prompt for open vocabulary object detection

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:15:36.862199Z

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 bd35ac73-a459-4c88-8ddd-ff18e4b038e7 · outbound

This paper cites an unresolved cited work.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:15:36.844021Z

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 3065f9cd-29f2-41dc-8695-436e48f974fc · outbound

This paper cites an unresolved cited work.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:15:36.822589Z

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 2343cef9-1142-4ba5-9722-340801592106 · outbound

This paper cites an unresolved cited work.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:15:36.789714Z

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 3c801cbf-af79-4b39-b184-6423520acd14 · outbound

This paper cites an unresolved cited work.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:15:36.757377Z

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 9cb36b46-1db1-4d95-8e24-151e6a179115 · outbound

This paper cites an unresolved cited work.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Unresolved cited work

Reference 75

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:15:36.737648Z

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 13acd276-fae0-467b-b345-cbdc67131166 · outbound

This paper cites an unresolved cited work.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:15:36.683029Z

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 75b9733a-18d3-4417-ab3f-8dfc484aeace · outbound

This paper cites an unresolved cited work.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:15:36.600826Z

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 73eae979-df9d-4992-acfb-bd1da4018e50 · outbound

This paper cites an unresolved cited work.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Unresolved cited work

Reference 78

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:15:12.070870Z

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 3ee6a1fd-8b97-4192-a361-94a845aee049 · outbound

This paper cites an unresolved cited work.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Unresolved cited work

Reference 79

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:15:11.994344Z

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 a1d723fc-604e-4036-95a3-aebdd2fa0e0a · outbound

This paper cites an unresolved cited work.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Unresolved cited work

Reference 80

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:15:11.925233Z

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 8f43eced-725b-4f36-858a-2a8b352e83b6 · outbound

This paper cites an unresolved cited work.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Unresolved cited work

Reference 81

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:15:11.853411Z

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 03140391-ec04-4316-841a-20a551069719 · outbound

This paper cites an unresolved cited work.

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Unresolved cited work

Reference 2023

Resolution: parse uncertain; raw_fallback, observed 2026-08-06T21:15:37.950323Z

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.

Coverage vector

Reference resolution

Outbound references

Pith citing papers