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StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization.

, , , , , и . CoRR, (2023)

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Deepti Jha

Development of a new cell penetrating peptide: design, synthesis and applications = Entwicklung eines neuen zell-penetrierenden Peptids. Uni Tübingen, (2009)

Ankit Mittal

Vandana Jha

Ankit Goyal

Abhinand Jha

 

Другие публикации лиц с тем же именем

GOPro: Generate and Optimize Prompts in CLIP using Self-Supervised Learning., , и . BMVC, стр. 314. BMVA Press, (2023)Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization., , , , , и . CoRR, (2024)Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization., , , , , и . WACV, стр. 1805-1815. IEEE, (2024)AD-CLIP: Adapting Domains in Prompt Space Using CLIP., , , и . ICCV (Workshops), стр. 4357-4366. IEEE, (2023)ADA-AT/DT: An Adversarial Approach for Cross-Domain and Cross-Task Knowledge Transfer., , , и . WACV, стр. 3501-3510. IEEE, (2021)APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot Remote Sensing Image Generalization using CLIP., , , , и . CVPR Workshops, стр. 2024-2034. IEEE, (2023)StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization., , , , , и . CoRR, (2023)Automatic Benchmark Generation for Object Constraint Language.. ICST, стр. 486-488. IEEE, (2023)AdaMT-Net: An Adaptive Weight Learning Based Multi-Task Learning Model For Scene Understanding., , , и . CVPR Workshops, стр. 3027-3035. Computer Vision Foundation / IEEE, (2020)GAF-Net: Improving the Performance of Remote Sensing Image Fusion using Novel Global Self and Cross Attention Learning., , и . WACV, стр. 6343-6352. IEEE, (2023)