LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation | Paper Citation Record

Observation bc7ed6d6-f6c9-4dad-9154-b836f88307ab · outbound

This paper cites Transfer adaptation learning: A decade survey,.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Transfer adaptation learning: A decade survey,

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This paper cites Enhancing multi-source open-set domain adaptation through nearest neighbor classification with self-supervised vision transformer,.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Enhancing multi-source open-set domain adaptation through nearest neighbor classification with self-supervised vision transformer,

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This paper cites Learning to transfer examples for partial domain adaptation,.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Learning to transfer examples for partial domain adaptation,

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This paper cites Psdc: A prototype- based shared-dummy classifier model for open-set domain adaptation,.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Psdc: A prototype- based shared-dummy classifier model for open-set domain adaptation,

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This paper cites Universal domain adaptation,.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Universal domain adaptation,

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This paper cites Universal domain adaptation through self supervision,.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Universal domain adaptation through self supervision,

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This paper cites Geometric anchor correspondence mining with uncertainty modeling for universal domain adaptation,.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Geometric anchor correspondence mining with uncertainty modeling for universal domain adaptation,

Reference 7

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This paper cites The eu general data protection regu- lation (gdpr),.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation The eu general data protection regu- lation (gdpr),

Reference 8

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This paper cites Upcycling models under domain and category shift,.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Upcycling models under domain and category shift,

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This paper cites Universal domain adaptation via compressive attention matching,.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Universal domain adaptation via compressive attention matching,

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Observation 51090e1e-158c-449d-b97b-111f662f8d4e · outbound

This paper cites UMAD: Universal Model Adaptation under Domain and Category Shift.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation UMAD: Universal Model Adaptation under Domain and Category Shift

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Observation 3430aa17-4f57-4da6-93b8-2bae9d7b47b3 · outbound

This paper cites Universal source-free domain adaptation,.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Universal source-free domain adaptation,

Reference 12

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This paper cites Learning to detect open classes for universal domain adaptation,.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Learning to detect open classes for universal domain adaptation,

Reference 13

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This paper cites Unveiling the unknown: Unleashing the power of unknown to known in open-set source-free domain adaptation,.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Unveiling the unknown: Unleashing the power of unknown to known in open-set source-free domain adaptation,

Reference 14

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This paper cites Lead: Learning decomposition for source-free universal domain adapta- tion,.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Lead: Learning decomposition for source-free universal domain adapta- tion,

Reference 15

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Observation 5a458cf7-00e6-493e-b6e5-be7bcf71e9e7 · outbound

This paper cites Domain invariant and class discriminative feature learning for visual domain adaptation,.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Domain invariant and class discriminative feature learning for visual domain adaptation,

Reference 16

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This paper cites On the Opportunities and Risks of Foundation Models.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation On the Opportunities and Risks of Foundation Models

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This paper cites Cross-domain open-world discovery,.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Cross-domain open-world discovery,

Reference 18

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Observation 4acd1ea3-a408-4fab-ba45-61b83399ce98 · outbound

This paper cites Source-free domain adaptation guided by vision and vision-language pre-training,.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Source-free domain adaptation guided by vision and vision-language pre-training,

Reference 19

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Observation e0320c67-cf04-42f7-8dab-31fc3f6ce917 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Learning transferable visual models from natural language supervision,

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This paper cites Source-free domain adaptation with frozen multimodal foundation model,.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Source-free domain adaptation with frozen multimodal foundation model,

Reference 21

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This paper cites Learning transfer- able features with deep adaptation networks,.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Learning transfer- able features with deep adaptation networks,

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This paper cites Deep transfer learning with joint adaptation networks,.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Deep transfer learning with joint adaptation networks,

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This paper cites Domain-adversarial training of neural networks,.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Domain-adversarial training of neural networks,

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This paper cites Domain prompt tuning via meta relabeling for unsupervised adversarial adaptation,.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Domain prompt tuning via meta relabeling for unsupervised adversarial adaptation,

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This paper cites Cross- domain contrastive learning for unsupervised domain adaptation,.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Cross- domain contrastive learning for unsupervised domain adaptation,

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This paper cites Coarse helps fine: A multi- granularity discriminative adversarial network for fine-grained open- set domain adaptation,.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Coarse helps fine: A multi- granularity discriminative adversarial network for fine-grained open- set domain adaptation,

Reference 27

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This paper cites Do we really need to access the source data? source hypothesis transfer for unsupervised domain adaptation,.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Do we really need to access the source data? source hypothesis transfer for unsupervised domain adaptation,

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LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Self-mining the confident prototypes for source-free unsupervised domain adaptation in image segmentation,

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This paper cites Domain-division based progressive learning for source-free domain adaptation,.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Domain-division based progressive learning for source-free domain adaptation,

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This paper cites Hierarchical unsupervised relation distillation for source-free domain adaptation,.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Hierarchical unsupervised relation distillation for source-free domain adaptation,

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This paper cites De- confusing pseudo-labels in source-free domain adaptation,.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation De- confusing pseudo-labels in source-free domain adaptation,

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This paper cites Robust nearest neighbors for source-free domain adaptation under class distribution shift,.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Robust nearest neighbors for source-free domain adaptation under class distribution shift,

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LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Multi- granularity class prototype topology distillation for class-incremental source-free unsupervised domain adaptation,

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This paper cites Simplifying source-free domain adaptation for object detection: Effective self-training strategies and per- formance insights,.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Simplifying source-free domain adaptation for object detection: Effective self-training strategies and per- formance insights,

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This paper cites Source-free unsu- pervised domain adaptation: A survey,.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Source-free unsu- pervised domain adaptation: A survey,

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This paper cites GPT-4 Technical Report.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation GPT-4 Technical Report

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This paper cites Universal Domain Adaptation from Foundation Models: A Baseline Study.

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Universal Domain Adaptation from Foundation Models: A Baseline Study

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LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Open-set domain adaptation with visual- language foundation models,

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LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Decoupling domain invariance and variance with tailored prompts for open-set domain adaptation,

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LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Cosmo: Clip talks on open-set multi-target domain adaptation,

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LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Adversarial experts model for black-box domain adaptation,

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LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Envisioning outlier exposure by large language models for out-of-distribution detec- tion,

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LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Deep residual learning for image recognition,

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LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Monitoring the coefficient of variation: A literature review,

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LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Guiding pseudo-labels with uncertainty estimation for source-free unsupervised domain adaptation,

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LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Adapting visual cate- gory models to new domains,

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LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Deep hashing network for unsupervised domain adaptation,

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LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation VisDA: The Visual Domain Adaptation Challenge

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LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Moment matching for multi-source domain adaptation,

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LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Attention is all you need,

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LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Billion-scale similarity search with GPUs,

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LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Wdan: A weighted discriminative adversarial network with dual classifiers for fine-grained open-set do- main adaptation,

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LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Domain consensus clustering for universal domain adaptation,

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LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Ovanet: One-vs-all network for universal do- main adaptation,

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LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Unified optimal transport framework for universal domain adaptation,

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LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Conditional adversarial domain adaptation,

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LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Bridging theory and algo- rithm for domain adaptation,

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LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Visualizing data using t-sne

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LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation Grad-cam: Visual explanations from deep networks via gradient-based localization,

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