masked autoencoder

Towards Robust 3D Pose Transfer with Adversarial Learning CVPR 2024 UltraMAE: Multi-modal Masked Autoencoder for Ultrasound Pre-training MIDL 2024 UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis ICML 2024 VideoMAC: Video Masked Autoencoders Meet ConvNets CVPR 2024 ViP: A Differentially Private Foundation Model for Computer Vision ICML 2024 4M: Massively Multimodal Masked Modeling NeurIPS 2023 AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning With Masked Autoencoders CVPR 2023 A Study on Transformer Configuration and Training Objective ICML 2023 A Survey on Masked Autoencoder for Visual Self-supervised Learning IJCAI 2023 Audiovisual Masked Autoencoders ICCV 2023 Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models NeurIPS 2023 CDFSL-V: Cross-Domain Few-Shot Learning for Videos ICCV 2023 CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets AAAI 2023 ConTextual Masked Auto-Encoder for Dense Passage Retrieval AAAI 2023 Contrastive Audio-Visual Masked Autoencoder ICLR 2023 Contrastive Feature Masking Open-Vocabulary Vision Transformer ICCV 2023 Contrastive Masked Autoencoders for Self-Supervised Video Hashing AAAI 2023 ConvNeXt V2: Co-Designing and Scaling ConvNets With Masked Autoencoders CVPR 2023 CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders NeurIPS 2023 Cross-Scale MAE: A Tale of Multiscale Exploitation in Remote Sensing NeurIPS 2023 Cycle-consistent Masked AutoEncoder for Unsupervised Domain Generalization ICLR 2023 Delving Into Masked Autoencoders for Multi-Label Thorax Disease Classification WACV 2023 Denoising Masked Autoencoders Help Robust Classification ICLR 2023 Diffusion Models as Masked Autoencoders ICCV 2023 DropMAE: Masked Autoencoders With Spatial-Attention Dropout for Tracking Tasks CVPR 2023