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Mar 8, 2024 · In this paper, we propose a progressive placeholder learning network with mixup hallucination and an alternating mixer, denoted as MHAM, to ...
Mar 8, 2024 · In this paper, we propose a progressive placeholder learning network with mixup hallucination and an alternating mixer, denoted as MHAM, to ...
Apr 24, 2024 · In this paper, we propose MHAM to perform multimodal zero-shot learning (MZSL) by learning placeholders that cap- ture the semantics of unseen ...
Mar 12, 2024 · In this paper, we propose a progressive placeholder learning network with mixup hallucination and an alternating mixer, denoted as MHAM, to ...
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A Progressive Placeholder Learning Network for Multimodal Zero-Shot Learning ... In this paper, we study the problem of generalized zero-shot activity recognition ...
A Progressive Placeholder Learning Network for Multimodal Zero-Shot Learning ... This study introduces a novel loss paradigm for multimodal learning, which ...
... A Progressive Placeholder Learning Network for Multimodal Zero-Shot Learning”, accepted by IEEE Transactions on Multimedia, 2024. IF: 6.513. 9. Yiming Tang ...
Zero-Shot Learning (ZSL) aims to recognize unseen classes by transferring knowledge from seen classes. Recent methods focus on learning a common semantic ...
Oct 22, 2024 · A Progressive Placeholder Learning Network for Multimodal Zero-Shot Learning, MultMed(26), 2024, pp. 7933-7945. IEEE DOI 2405. Visualization ...
Dec 1, 2023 · Generalized Zero-shot Learning (GZSL) has yielded re- markable performance by designing a series of unbiased visual-semantics mappings, wherein, ...
Missing: Placeholder Multimodal