Perceptual Loss, Neural Distance, Embedding Similarity, Content-aware Metrics
Episode-specific Fine-tuning for Metric-based Few-shot Learners with Optimization-based Training
arxiv.org·1d
GLIMPSE: Gradient-Layer Importance Mapping for Prompted Visual Saliency Explanation for Generative LVLMs
arxiv.org·18h
Stretching Beyond the Obvious: A Gradient-Free Framework to Unveil the Hidden Landscape of Visual Invariance
arxiv.org·2d
Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers
arxiv.org·18h
DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts
arxiv.org·18h
ReMAR-DS: Recalibrated Feature Learning for Metal Artifact Reduction and CT Domain Transformation
arxiv.org·18h
Why Your Next LLM Might Not Have A Tokenizer
towardsdatascience.com·1d
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