Tag: Vision Transformers
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Can Cross-Layer Transcoders Replace Vision Transformer Activations?
Explore how Cross-Layer Transcoders enhance interpretability and replace Vision Transformer activations for better AI model transparency.
Vision Transformers Predict Chemotherapy Response in Ovarian Cancer
Discover how vision transformers and CT imaging predict chemotherapy response in high-grade serous ovarian carcinoma, aiding preoperative decisions.
Ge2mS-T: Ultra-Efficient Spiking Transformer Grouping
Discover Ge2mS-T, a novel multi-dimensional grouping method boosting energy efficiency in Spiking Vision Transformers with superior performance.
Zero-Shot Quantization: Boost Model Robustness Easily
Discover zero-shot quantization using weight-space arithmetic to enhance model robustness without extra training or data, improving low-bit deployments.
Vision Transformer for SAR Sea Ice Classification Accuracy
Explore a data-centric Vision Transformer baseline improving SAR sea ice classification with focal loss for better accuracy and rare ice detection.