vision transformer

Lightweight Portrait Matting via Regional Attention and Refinement WACV 2024 Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders WACV 2024 Linearly Decomposing and Recomposing Vision Transformers for Diverse-Scale Models NeurIPS 2024 Linguistic-Aware Patch Slimming Framework for Fine-grained Cross-Modal Alignment CVPR 2024 LION: Implicit Vision Prompt Tuning AAAI 2024 LipSim: A Provably Robust Perceptual Similarity Metric ICLR 2024 Localizing Memorization in SSL Vision Encoders NeurIPS 2024 LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate NeurIPS 2024 Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach CVPR 2024 LUM-ViT: Learnable Under-sampling Mask Vision Transformer for Bandwidth Limited Optical Signal Acquisition ICLR 2024 Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identification CVPR 2024 Making Vision Transformers Truly Shift-Equivariant CVPR 2024 MarsLS-Net: Martian Landslides Segmentation Network and Benchmark Dataset WACV 2024 Masked AutoDecoder is Effective Multi-Task Vision Generalist CVPR 2024 Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology CVPR 2024 Masked Distillation Advances Self-Supervised Transformer Architecture Search ICLR 2024 MedSegDiff-V2: Diffusion-Based Medical Image Segmentation with Transformer AAAI 2024 Memory Consolidation Enables Long-Context Video Understanding ICML 2024 MetaAT: Active Testing for Label-Efficient Evaluation of Dense Recognition Tasks ECCV 2024 MiKASA: Multi-Key-Anchor & Scene-Aware Transformer for 3D Visual Grounding CVPR 2024 Mind Your Augmentation: The Key to Decoupling Dense Self-Supervised Learning ICLR 2024 Mini but Mighty: Finetuning ViTs With Mini Adapters WACV 2024 MIST: Medical Image Segmentation Transformer With Convolutional Attention Mixing (CAM) Decoder WACV 2024 Mixture of Nested Experts: Adaptive Processing of Visual Tokens NeurIPS 2024 MLP Can Be A Good Transformer Learner CVPR 2024