DP-FM decouples radial and angular dynamics on a cylindrical manifold via constant-warping metric and classifier-free guidance to achieve state-of-the-art multi-step few-shot adaptation of vision-language models on 11 benchmarks.
Learning transferable visual models from natural language supervision
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A novel weakly supervised anomaly detection method for brain MRI that uses discriminative dual prompt tuning for pseudo masks and region-aware spatial attention with location-based random embeddings to achieve SOTA results with under 8 million parameters on BraTS and MSD datasets.
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Direct Product Flow Matching: Decoupling Radial and Angular Dynamics for Few-Shot Adaptation
DP-FM decouples radial and angular dynamics on a cylindrical manifold via constant-warping metric and classifier-free guidance to achieve state-of-the-art multi-step few-shot adaptation of vision-language models on 11 benchmarks.
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RASALoRE: Region Aware Spatial Attention with Location-based Random Embeddings for Weakly Supervised Anomaly Detection in Brain MRI Scans
A novel weakly supervised anomaly detection method for brain MRI that uses discriminative dual prompt tuning for pseudo masks and region-aware spatial attention with location-based random embeddings to achieve SOTA results with under 8 million parameters on BraTS and MSD datasets.