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Linear Differential Vision Transformer: Learning Visual Contrasts via Pairwise Differentials
cs.AI updates on arXiv.org
2025-11-05T05:27:32.000000Z
Accelerating Vision Transformers with Adaptive Patch Sizes
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Scaling Vision Transformers for Functional MRI with Flat Maps
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Vision Transformers: the threat of realistic adversarial patches
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Communication Efficient Split Learning of ViTs with Attention-based Double Compression
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3DViT-GAT: A Unified Atlas-Based 3D Vision Transformer and Graph Learning Framework for Major Depressive Disorder Detection Using Structural MRI Data
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I-Segmenter: Integer-Only Vision Transformer for Efficient Semantic Segmentation
cs.AI updates on arXiv.org
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TinyDrop: Tiny Model Guided Token Dropping for Vision Transformers
cs.AI updates on arXiv.org
2025-09-04T05:59:12.000000Z
AlphaViT: A flexible game-playing AI for multiple games and variable board sizes
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2025-08-05T11:10:12.000000Z
Modeling Human Gaze Behavior with Diffusion Models for Unified Scanpath Prediction
cs.AI updates on arXiv.org
2025-08-01T04:08:27.000000Z
FOCUS: Fused Observation of Channels for Unveiling Spectra
cs.AI updates on arXiv.org
2025-07-22T04:44:43.000000Z
Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder
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A Potential Successor to RLHF for Efficient LLM Alignment and the Resurgence of CNNs
Ahead of AI
2024-10-22T06:07:40.000000Z
Researchers at Stanford University Propose Locality Alignment: A New Post-Training Stage for Vision Transformers ViTs
MarkTechPost@AI
2024-10-18T06:50:55.000000Z