Frozen Giants, Tiny Tweaks: Lightweight Adaptation Boosts Fashion Image Search
Researchers in India show that training only a 2.4-million-parameter projection module on top of frozen CLIP encoders lifts fashion image-to-text ...
Researchers in India show that training only a 2.4-million-parameter projection module on top of frozen CLIP encoders lifts fashion image-to-text ...
A new conflict-aware framework teaches vision-language models to align their own uncertainty with tool confidence, reject unreliable OCR output, and ...
Researchers have introduced HGA-Net, a hypergraph-based adapter that connects related examples within each mini-batch and achieves near-perfect fine-grained recognition with ...
A new comprehensive review analyzes 13 pretrained multimodal AI models from 2020 to 2025, comparing their architectures, datasets, and applications ...
A new survey maps how training-free pipelines built on frozen AI models are tackling hour-long video understanding through token selection, ...
A new survey maps how large language models and vision-language models are enabling gloss-free sign language translation to break communication ...
Researchers at IIT Jodhpur have built a retrieval-augmented AI framework and a massive new dataset, FactViz3M, that can locate the ...
A new cross-modal AI framework called CMAC-Net aligns visual defect regions with textual semantics, improving industrial anomaly detection accuracy and ...
Researchers have developed OphthUS-GPT, a multimodal AI system that automatically generates and interprets diagnostic reports from ophthalmic B-scan ultrasound images ...
Researchers have developed SRRI, a source-free domain adaptation method that uses CLIP as an external verifier to de-bias pseudo-source domains ...
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© 2025 Scienmag - Science Magazine