Search Results - "Zhuang, Jiamin"
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First report of Diomus guilavoguii Duverger, 1994 (Coleoptera, Coccinellidae, Diomini) predating on papaya mealybug Paracoccus marginatus from China
Published in Biodiversity data journal (16-11-2023)“…Diomus guilavoguii Duverger, 1994, an adventive species, is recorded from Guangzhou (Guangdong Province), China for the first time. Larvae of D. guilavoguii…”
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Towards Fast and Accurate Image-Text Retrieval with Self-Supervised Fine-Grained Alignment
Published in IEEE transactions on multimedia (01-01-2024)“…Image-text retrieval requires the system to bridge the heterogenous gap between vision and language for accurate retrieval while keeping the network…”
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First report of Diomusguilavoguii Duverger, 1994 (Coleoptera, Coccinellidae, Diomini) predating on papaya mealybug Paracoccusmarginatus from China
Published in Biodiversity data journal (01-01-2023)“…BackgroundDiomusguilavoguii Duverger, 1994, an adventive species, is recorded from Guangzhou (Guangdong Province), China for the first time. Larvae of…”
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Towards Fast and Accurate Image-Text Retrieval with Self-Supervised Fine-Grained Alignment
Published 27-08-2023“…IEEE Transactions on Multimedia ( Early Access ), 29 May 2023 Image-text retrieval requires the system to bridge the heterogenous gap between vision and…”
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Denoise-I2W: Mapping Images to Denoising Words for Accurate Zero-Shot Composed Image Retrieval
Published 22-10-2024“…Zero-Shot Composed Image Retrieval (ZS-CIR) supports diverse tasks with a broad range of visual content manipulation intentions that can be related to domain,…”
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Visual-Semantic Decomposition and Partial Alignment for Document-based Zero-Shot Learning
Published 22-07-2024“…Recent work shows that documents from encyclopedias serve as helpful auxiliary information for zero-shot learning. Existing methods align the entire semantics…”
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Context-I2W: Mapping Images to Context-dependent Words for Accurate Zero-Shot Composed Image Retrieval
Published 27-09-2023“…AAAI 2024 Different from Composed Image Retrieval task that requires expensive labels for training task-specific models, Zero-Shot Composed Image Retrieval…”
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