Typed states for the displayed outbound observations.
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Paper Citation Record · LEDGER
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing
As of 16 August 2026, this Paper Citation Record lists 100 of 140 outbound references and 0 inbound Pith citation observations for arXiv:2504.16433.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
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Source: cited_works
Reference resolution
100 of 140 outbound references displayed
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External citation measurements
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Outbound references
Observation ba55b03c-07d3-4c5d-9f30-5460373d9084 · outbound
This paper cites Abdullah, Y.
Reference 1
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Observation 88042c3b-4c64-4ef6-84dd-a19f51a4c5b3 · outbound
This paper cites Alhichri, Nassim Ammour, and Naif Alajlan.
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Alhichri, Nassim Ammour, and Naif Alajlan
Reference 2
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Vqa: Visual question answering
Reference 3
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Observation 3b557b9c-d1d3-42b9-bda6-e66ac48bf41d · outbound
This paper cites Metareg: Towards domain generalization using meta-regularization.
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Metareg: Towards domain generalization using meta-regularization
Reference 4
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Unresolved cited work
Reference 5
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This paper cites C-saw: Self-supervised prompt learning for image generalization in remote sensing.
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing C-saw: Self-supervised prompt learning for image generalization in remote sensing
Reference 6
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Observation 1465b217-76dc-46d4-a8bc-5fa95fe29f8d · outbound
This paper cites StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization.
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization
Reference 7
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Observation 39b31907-115e-407f-8448-a61ee9a4f9d3 · outbound
This paper cites Domain-controlled prompt learning.
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Domain-controlled prompt learning
Reference 8
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Source-reported events for the cited work
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Domain prompt learning with quaternion networks
Reference 9
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Observation 5050bac7-69db-407e-95bc-ad4872cc397d · outbound
This paper cites Chappuis, V.
Reference 10
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Observation fd96cc73-2eba-4fc4-8335-f2bd8656588e · outbound
This paper cites Learning to balance specificity and invariance for in and out of domain generalization.
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Learning to balance specificity and invariance for in and out of domain generalization
Reference 11
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Observation ef245fe3-d012-4e68-b04a-1fcb6e1285b4 · outbound
This paper cites Rsprompter: Learning to prompt for remote sensing instance segmenta- tion based on visual foundation model.
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Rsprompter: Learning to prompt for remote sensing instance segmenta- tion based on visual foundation model
Reference 12
- Resolution
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Source-reported events for the cited work
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Observation 5cab010a-b194-47da-b464-7edf149d6bf0 · outbound
This paper cites Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs.
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs
Reference 13
- Resolution
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This paper cites an unresolved cited work.
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Unresolved cited work
Reference 14
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Observation fad93354-52f3-4b81-b0ad-9711e12ca9d6 · outbound
This paper cites Remote sens- ing image scene classification: Benchmark and state of the art.
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Remote sens- ing image scene classification: Benchmark and state of the art
Reference 15
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This paper cites Cheng, Y.
Reference 16
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Unresolved cited work
Reference 17
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Observation 94f7586e-811b-464d-8a62-d3877526a210 · outbound
This paper cites Multimodal artificial intelligence foundation models: Unleashing the power of remote sensing big data in earth observation.
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Multimodal artificial intelligence foundation models: Unleashing the power of remote sensing big data in earth observation
Reference 18
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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 20
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Unresolved cited work
Reference 21
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This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 23
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Domain generalization via model- agnostic learning of semantic features
Reference 24
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Domain generalized object detection for remote sensing images
Reference 25
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Observation aa7fb02e-335c-4267-9e74-2a019c1581fe · outbound
This paper cites A brief review of domain adaptation.Ad- vances in data science and information engineering, pages 877–894, 2021.
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing A brief review of domain adaptation.Ad- vances in data science and information engineering, pages 877–894, 2021
Reference 26
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Model- agnostic meta-learning for fast adaptation of deep networks
Reference 28
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Unsupervised do- main adaptation by backpropagation
Reference 29
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Domain-adversarial training of neural networks
Reference 30
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This paper cites CLIP-Adapter: Better Vision-Language Models with Feature Adapters.
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing CLIP-Adapter: Better Vision-Language Models with Feature Adapters
Reference 31
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Self-supervised in-domain representation learning for remote sensing image scene classification
Reference 32
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Visual-language prompt tuning with knowledge-guided context optimiza- tion
Reference 33
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Deep residual learning for image recognition
Reference 34
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Machine learning for environmental monitoring
Reference 35
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing On the generalization ability of a global model for rapid building mapping from heteroge- neous satellite images of multiple natural disaster scenarios
Reference 36
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing RSGPT: A Remote Sensing Vision Language Model and Benchmark
Reference 37
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Self-challenging improves cross-domain generalization
Reference 38
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing On the real capabilities of re- mote sensing for disaster management-feedback from real cases
Reference 39
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Rs3lip: Consistency for remote sensing im- age classification on part embeddings using self-supervised learning and clip
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Few-shot scene classification of optical re- mote sensing images leveraging calibrated pretext tasks
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Scaling up visual and vision-language representation learning with noisy text supervision
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing MaPLe: Multi-modal Prompt Learning
Reference 45
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Efficient prompt tuning of large vision-language model for fine-grained ship classification
Reference 46
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Learning to generalize: Meta-learning for do- main generalization
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Episodic training for domain generalization
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Patternnet: Visual pattern mining with deep neural network
Reference 50
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Reference 51
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing VisualBERT: A Simple and Performant Baseline for Vision and Language
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing RS- CLIP: Zero-Shot Remote Sensing Scene Classification via Contrastive Vision-Language Supervision
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Vision-language models in remote sens- ing: Current progress and future trends
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Deep do- main generalization via conditional invariant adversarial networks
Reference 58
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Observation 0eb78715-78af-404b-b2b3-4768c9067c8c · outbound
This paper cites Feature-critic networks for heterogeneous do- main generalization.
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Feature-critic networks for heterogeneous do- main generalization
Reference 59
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Observation 857a6143-93ce-4265-bc46-3f988b60c2f1 · outbound
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Reference 60
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Observation 337a383a-4ea6-4dde-9b7f-44837c78d688 · outbound
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Reference 61
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Observation 0d5445ec-4842-4018-a818-d1f371a08055 · outbound
This paper cites Chen, and Bing Xu.
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Chen, and Bing Xu
Reference 62
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Observation 51d31173-ee05-4b64-9680-e315cb114312 · outbound
This paper cites FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Models.
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Models
Reference 63
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Observation faf2b999-ccd0-4a67-94d6-989a328c9ef6 · outbound
This paper cites Deep few-shot learning for hyper- spectral image classification.
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Deep few-shot learning for hyper- spectral image classification
Reference 64
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Observation a505d0c8-c44f-4c89-b2d0-8fc77bced5ae · outbound
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Re- moteCLIP: A Vision-Language Foundation Model for Re- mote Sensing
Reference 65
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Observation 512ce07f-f894-408b-bac0-58a6d97d0d88 · outbound
This paper cites Lobry, D.
Reference 66
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Observation 2643c5b3-33b2-45b9-a346-3f6fa962c732 · outbound
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Exploring models and data for remote sensing im- age caption generation
Reference 67
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Observation dcc422cb-fdc1-4858-81ce-12957b90f7d0 · outbound
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Reference 68
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Observation 6c7c54d6-f26a-4da6-b1f9-01f5c4090668 · outbound
This paper cites Deep learning in remote sensing applications: A meta-analysis and review.ISPRS Journal of Photogrammetry and Remote Sensing, 152:166–177, 2019.
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Deep learning in remote sensing applications: A meta-analysis and review.ISPRS Journal of Photogrammetry and Remote Sensing, 152:166–177, 2019
Reference 69
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Observation c5b0d289-f268-41c3-81d1-4236e9d88acd · outbound
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Reference 70
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Observation cdcc3331-c318-4cc8-81e6-b6369ffaa519 · outbound
This paper cites Domain general- ization using a mixture of multiple latent domains.
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Domain general- ization using a mixture of multiple latent domains
Reference 71
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Observation 9022232f-4e96-4c79-b9e0-7539c8855db8 · outbound
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Integrating remote sensing and demog- raphy for more efficient and effective assessment of chang- ing mountain forest distribution
Reference 72
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Observation fd74d56c-681e-4449-9aeb-d03af8f3ae0d · outbound
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Spn: Stable prototypical network for few-shot learning-based hyperspectral image classification
Reference 73
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Observation c87383eb-dee1-4df4-931f-5bd3a2fc1258 · outbound
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Relevant and in- variant feature selection of hyperspectral images for domain generalization
Reference 74
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Observation 34460cf1-8281-4a36-b0a1-ee0a31a99166 · outbound
This paper cites Language Models as Knowledge Bases?.
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Language Models as Knowledge Bases?
Reference 75
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Observation 97ac4a85-1cbc-4f79-b705-f072e0f8c9f6 · outbound
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Mlrsnet: A multi- label high spatial resolution remote sensing dataset for se- mantic scene understanding
Reference 76
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Observation 1063b734-70f0-45b8-8a90-0863d2f132a8 · outbound
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Uncertainty-guided model generalization to unseen domains
Reference 77
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Observation be602857-83e5-4984-a319-87db8a2be15d · outbound
This paper cites Learning to learn single domain generalization.
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Learning to learn single domain generalization
Reference 78
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Observation 8da2545a-9bde-4582-862b-c04083ae11c1 · outbound
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Reference 79
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Improving language understanding by gen- erative pre-training
Reference 80
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Observation ebccfef4-6d15-48eb-982f-6252325a29a5 · outbound
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Learn- ing transferable visual models from natural language super- vision
Reference 81
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Observation 8470f765-fc98-4bae-aef8-d26988248790 · outbound
This paper cites Learn- ing transferable visual models from natural language super- vision.
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Learn- ing transferable visual models from natural language super- vision
Reference 82
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Observation dd94889d-2165-4781-99ef-9493dc040857 · outbound
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Reference 83
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Observation 236193b6-2b3e-42bf-be35-409f81252758 · outbound
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Reference 84
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Observation b722443f-ac5e-4022-854c-2f5ec23c46a1 · outbound
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Reference 85
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Observation 7206d759-52df-4b77-97ce-912bec2eb07e · outbound
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Reference 86
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Global filter networks for image classification
Reference 87
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Observation 741f855e-bc81-4f0d-b50e-cc49d64f3bb0 · outbound
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing A stochastic approx- imation method
Reference 88
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Meta-learning for few-shot land cover classifica- tion
Reference 89
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Observation 6e3b9e15-0949-4299-8485-190f183fa3a3 · outbound
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Reference 90
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Observation c14e7e90-3d46-4c63-9622-6cb1c854b639 · outbound
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Multi- target domain adaptation for remote sensing classification using graph neural network
Reference 91
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Observation 6e261422-94e2-44c9-95f7-db1aa7d2d2e7 · outbound
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Reference 92
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Observation 65c7dece-47c5-4f81-98d4-f0db7e5e581b · outbound
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts
Reference 93
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Observation 2dc2b8be-b990-435e-986f-f5a8a70ed39a · outbound
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models
Reference 94
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Source-reported events for the cited work
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Observation 04ebb597-2021-4d1d-9492-b7747000cb8d · outbound
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Applenet: Visual attention parameterized prompt learning for few-shot remote sens- ing image generalization using clip
Reference 95
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Observation da15a950-6857-47ca-8808-d5069aa3a9e6 · outbound
This paper cites Improved deep metric learning with multi- class n-pair loss objective.
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Improved deep metric learning with multi- class n-pair loss objective
Reference 96
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Observation 4402e72d-6082-4a8f-aadb-a1b40c8ed9cc · outbound
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Reference 97
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Observation a73db272-106f-4e42-8ab6-720f8797b002 · outbound
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Intriguing properties of neural networks
Reference 98
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Observation 5a21e724-23ba-4b53-bd57-bb19fb5b4615 · outbound
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing The information bottleneck method
Reference 99
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Observation c20c2e1b-1414-43f6-98b5-ba5a9f6dc6e7 · outbound
This paper cites Do- main adaptation for the classification of remote sensing data: An overview of recent advances.
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Do- main adaptation for the classification of remote sensing data: An overview of recent advances
Reference 100
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Observation e58ef396-ede6-42f3-98d8-04f5151abfff · outbound
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FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing Toward a collective agenda on ai for earth science data analysis
Reference 101
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Source-reported events for the cited work
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Observation 6102d586-c03e-493e-8491-d915d1a0b86a · outbound
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Reference 102
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Observation 6c52d9a3-3ca3-4c91-b98d-5b66baa9f532 · outbound
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Reference 103
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Pith citing papers
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