Attention-Guided Hierarchical Parsing for Fine-Grained Person-Centric Image Captioning
IEEE AccessAlthough significant progress in the task of producing fine-grained captions for portrait images has been made by the current models for generating detailed descriptions in captions, they still face challenges in attention allocation and in capturing the
Zhengcheng Gu, Jing Jin
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AI caption generation model for digital pathology of adenocarcinoma in endoscopic histopathology using multi-instance attention mechanisms. [PDF]
Sci RepLee Y, Bai K, Kim YJ, Kim J, Kim KG.
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ISAR-Mamba: A Dual-Stream Gated Mamba with Hierarchical Spatial Summaries for ISAR Image Captioning. [PDF]
Sensors (Basel)He Y +8 more
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Contextual image caption creation using object positional embedding and generative models. [PDF]
PLoS OneDanyal M, Roman M, Shahid A, Yahya M.
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Correction: Long non-coding RNAs in glial cells: key drivers of neuroinflammation in cognitive disorders. [PDF]
Front Aging NeurosciMalatino C +6 more
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A Multimodal AI Framework for Medical Education: Integrating Adaptive Image Retrieval, Fast Synthesis, and LLM-Based Clinical Auditing. [PDF]
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Generative Distribution Prediction: A Unified Approach to Multimodal Learning. [PDF]
Mach LearnTian X, Shen X.
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TC3-VLM: A Vision-Language Model for Tactical Combat Casualty Care. [PDF]
IEEE AccessKim J +5 more
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A framework for efficient scientific diagram captioning using mixture-of-experts and low-rank adaptation. [PDF]
Sci RepKamboj D, Harit G.
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Rare-Disease Diagnosis on the ZebraMap Multimodal Case Report Dataset: A Hybrid Pipeline with Grounded Explainability. [PDF]
Sensors (Basel)Islam MS, Jamal A, Alkhathlan A.
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