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https://openreview.net/forum?id=tidYprMlsg Adapting Vision Transformers to Ultra-High Resolution Semantic Segmentation with Relay Tokens |... Current approaches for segmenting ultra-high-resolution images either slide a window, thereby discarding global context, or downsample and lose fine detail. We... ultra high resolution vision transformers https://www.utwente.nl/en/eemcs/dmb/assignments/open/master/Machine%20Learning/20251101_exploring_inhibition_in_vision_transformers/ Exploring Inhibition in Vision Transformers | Machine Learning | EEMCS - DMB in vision machine learning exploring inhibition transformers https://makotokawano.com/publication/vit-to-cnn-distillation-2024/ Knowledge Distillation from Vision Transformers to Convolutional Neural Networks | Makoto Kawano Mar 31, 2026 - Knowledge distillation from vision transformers to CNNs. convolutional neural networks knowledge distillation vision transformers https://cescg.org/cescg_submission/segmentation-of-whole-slide-images-with-context-aware-vision-transformers/ Segmentation of Whole-Slide Images with Context-Aware Vision Transformers | CESCG slide images context aware vision transformers segmentation whole https://www.rtinsights.com/vision-transformers-breakthrough-enhances-efficiency/ Vision Transformers Breakthrough Enhances Efficiency - RTInsights Oct 1, 2024 - The Visual State Space Duality (VSSD) model offers a new approach to vision transformers, significantly improving efficiency. vision transformers breakthrough enhances efficiency https://www.kaggle.com/code/spsayakpaul/distilling-vision-transformers distilling-vision-transformers | Kaggle Explore and run AI code with Kaggle Notebooks | Using data from No attached data sources vision transformers distilling kaggle https://deepai.org/publication/bootstrapping-vits-towards-liberating-vision-transformers-from-pre-training Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training | DeepAI Dec 7, 2021 - 12/07/21 - Recently, vision Transformers (ViTs) are developing rapidly and starting to challenge the domination of convolutional neural netwo... vision transformers pre training bootstrapping vits towards https://arxiv.org/abs/2104.14294 [2104.14294] Emerging Properties in Self-Supervised Vision Transformers Abstract page for arXiv paper 2104.14294: Emerging Properties in Self-Supervised Vision Transformers in self emerging properties supervised vision https://www.superpowerdaily.com/p/solving-the-attention-puzzle-in-vision-transformers-a-simple-trick-for-a-big-impact Solving the Attention Puzzle in Vision Transformers: A Simple Trick for a Big Impact Researchers Find an Elegant Solution to Correct the Distracted Focus of Vision Transformers, Enhancing their Performance