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HAVE-Net: Hallucinated Audio-Visual Embeddings for Few-Shot Classification with Unimodal Cues.

, , , , and . CoRR, (2023)

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StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization., , , , , and . CoRR, (2023)APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot Remote Sensing Image Generalization using CLIP., , , , and . CVPR Workshops, page 2024-2034. IEEE, (2023)AD-CLIP: Adapting Domains in Prompt Space Using CLIP., , , and . ICCV (Workshops), page 4357-4366. IEEE, (2023)GOPro: Generate and Optimize Prompts in CLIP using Self-Supervised Learning., , and . BMVC, page 314. BMVA Press, (2023)Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization., , , , , and . CoRR, (2024)C-SAW: Self-Supervised Prompt Learning for Image Generalization in Remote Sensing., , , and . ICVGIP, page 38:1-38:10. ACM, (2023)HAVE-Net: Hallucinated Audio-Visual Embeddings for Few-Shot Classification with Unimodal Cues., , , , and . CoRR, (2023)CDAD-Net: Bridging Domain Gaps in Generalized Category Discovery., , , , , , , and . CoRR, (2024)StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization., , , , , and . WACV, page 5530-5540. IEEE, (2024)