Recent text-to-image diffusion systems have begun replacing CLIP and T5 text encoders with decoder-only large language models (LLMs), motivated by their stronger language understanding. This substitution, however, does not straightforwardly improve image-text alignment: naively using an LLM as the prompt encoder can su...
Yogesh Kakde, Jitendra Jaiswal, B. Sahoo et al.· 2026 International Conferenc...· 0 citations
The modern supply chain of semiconductor manufacturing industry is highly globalized with chip design, thirdparty intellectual property integration, offshore manufacturing, packaging, system integration and deployment being its main components. Even though this distributed paradigm provides rapid innovation and scalabi...
L. K., Linga Reddy Gari Muralidhar Reddy, G. H. Kumar et al.· International Conference on...· 0 citations
Transformer architectures have changed how multimodal medical image fusion works. Convolutional neural network (CNN)-based methods are constrained to local receptive fields; transformers use self-attention and cross-modal interactions to capture dependencies across the full image, which matters when aligning magnetic r...
N. Jagtap, D. J. Saini, Prasun Chakrabarti· Journal of Data Science and...· 0 citations
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