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🏢 University of Trento

RMLR: Extending Multinomial Logistic Regression into General Geometries
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Machine Learning Deep Learning 🏢 University of Trento
RMLR: A novel framework extends multinomial logistic regression to diverse geometries, overcoming limitations of existing methods by requiring minimal geometric properties for broad applicability.
Prototypical Hash Encoding for On-the-Fly Fine-Grained Category Discovery
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Computer Vision Image Classification 🏢 University of Trento
Prototypical Hash Encoding (PHE) significantly boosts on-the-fly fine-grained category discovery by using multiple prototypes per category to generate highly discriminative hash codes, thus resolving …
Frustratingly Easy Test-Time Adaptation of Vision-Language Models
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Multimodal Learning Vision-Language Models 🏢 University of Trento
Boost VLM performance with ZERO: a simple, fast Test-Time Adaptation method requiring only a single forward pass and exceeding state-of-the-art accuracy!