{"total":99,"rows":[{"id":"2212.14532","title":"Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning","created":"2022-12-30","cited_by_count":308,"area":null},{"id":"2309.10020","title":"Multimodal Foundation Models: From Specialists to General-Purpose Assistants","created":"2023-09-18","cited_by_count":247,"area":null},{"id":"2303.16058","title":"Unmasked Teacher: Towards Training-Efficient Video Foundation Models","created":"2023-03-28","cited_by_count":199,"area":null},{"id":"2212.06785","title":"Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders","created":"2022-12-13","cited_by_count":144,"area":null},{"id":"2207.13532","title":"Contrastive Masked Autoencoders are Stronger Vision Learners","created":"2022-07-27","cited_by_count":133,"area":null},{"id":"2303.03667","title":"Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks","created":"2023-03-07","cited_by_count":130,"area":null},{"id":"2304.09854","title":"Transformer-Based Visual Segmentation: A Survey","created":"2023-04-19","cited_by_count":124,"area":null},{"id":"2303.01237","title":"FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation","created":"2023-03-02","cited_by_count":114,"area":null},{"id":"2403.15356","title":"Neural Plasticity-Inspired Multimodal Foundation Model for Earth Observation","created":"2024-03-22","cited_by_count":104,"area":null},{"id":"2304.14065","title":"Lightweight, Pre-trained Transformers for Remote Sensing Timeseries","created":"2023-04-27","cited_by_count":103,"area":null},{"id":"2301.03580","title":"Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling","created":"2023-01-09","cited_by_count":94,"area":null},{"id":"2305.07017","title":"An Inverse Scaling Law for CLIP Training","created":"2023-05-11","cited_by_count":77,"area":null},{"id":"2310.08370","title":"UniPAD: A Universal Pre-training Paradigm for Autonomous Driving","created":"2023-10-12","cited_by_count":73,"area":null},{"id":"2208.00173","title":"A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond","created":"2022-07-30","cited_by_count":58,"area":null},{"id":"2212.03010","title":"GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds","created":"2022-12-06","cited_by_count":57,"area":null},{"id":"2310.08586","title":"PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm","created":"2023-10-12","cited_by_count":56,"area":null},{"id":"2305.16318","title":"Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation","created":"2023-05-25","cited_by_count":54,"area":null},{"id":"2303.08129","title":"PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection","created":"2023-03-14","cited_by_count":53,"area":null},{"id":"2302.14007","title":"Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training","created":"2023-02-27","cited_by_count":52,"area":null},{"id":"2211.09120","title":"AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders","created":"2022-11-16","cited_by_count":43,"area":null},{"id":"2303.05251","title":"Masked Image Modeling with Local Multi-Scale Reconstruction","created":"2023-03-09","cited_by_count":43,"area":null},{"id":"2305.13689","title":"Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training","created":"2023-05-23","cited_by_count":39,"area":null},{"id":"2210.10615","title":"A Unified View of Masked Image Modeling","created":"2022-10-19","cited_by_count":36,"area":null},{"id":"2211.08887","title":"Stare at What You See: Masked Image Modeling without Reconstruction","created":"2022-11-16","cited_by_count":30,"area":null},{"id":"2211.10526","title":"Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference","created":"2022-11-18","cited_by_count":28,"area":null},{"id":"2206.09325","title":"EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm","created":"2022-06-19","cited_by_count":27,"area":null},{"id":"2305.13456","title":"Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters","created":"2023-05-22","cited_by_count":27,"area":null},{"id":"2211.09799","title":"CAE v2: Context Autoencoder with CLIP Target","created":"2022-11-17","cited_by_count":25,"area":null},{"id":"2211.08129","title":"Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works","created":"2022-11-15","cited_by_count":24,"area":null},{"id":"2211.12735","title":"Fast-iTPN: Integrally Pre-Trained Transformer Pyramid Network with Token Migration","created":"2022-11-23","cited_by_count":24,"area":null},{"id":"2408.01946","title":"Masked Angle-Aware Autoencoder for Remote Sensing Images","created":"2024-08-04","cited_by_count":22,"area":null},{"id":"2310.20704","title":"Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders","created":"2023-10-31","cited_by_count":17,"area":null},{"id":"2401.00897","title":"Masked Modeling for Self-supervised Representation Learning on Vision and Beyond","created":"2023-12-31","cited_by_count":13,"area":null},{"id":"2403.04822","title":"UniTable: Towards a Unified Framework for Table Recognition via Self-Supervised Pretraining","created":"2024-03-07","cited_by_count":13,"area":null},{"id":"2209.01542","title":"Recurrent Bilinear Optimization for Binary Neural Networks","created":"2022-09-04","cited_by_count":12,"area":null},{"id":"2303.05475","title":"Mimic before Reconstruct: Enhancing Masked Autoencoders with Feature Mimicking","created":"2023-03-09","cited_by_count":12,"area":null},{"id":"2506.00679","title":"A versatile foundation model for cine cardiac magnetic resonance image analysis tasks","created":"2025-05-31","cited_by_count":12,"area":null},{"id":"2301.06018","title":"CMAE-V: Contrastive Masked Autoencoders for Video Action Recognition","created":"2023-01-15","cited_by_count":11,"area":null},{"id":"2304.10864","title":"FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation","created":"2023-04-21","cited_by_count":11,"area":null},{"id":"2408.11241","title":"CooPre: Cooperative Pretraining for V2X Cooperative Perception","created":"2024-08-20","cited_by_count":11,"area":null},{"id":"2208.11356","title":"Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectors","created":"2022-08-24","cited_by_count":10,"area":null},{"id":"2310.01994","title":"Understanding Masked Autoencoders From a Local Contrastive Perspective","created":"2023-10-03","cited_by_count":10,"area":null},{"id":"2403.14628","title":"Zero-Shot Multi-Object Scene Completion","created":"2024-03-21","cited_by_count":9,"area":null},{"id":"2210.11016","title":"Towards Sustainable Self-supervised Learning","created":"2022-10-20","cited_by_count":8,"area":null},{"id":"2210.11470","title":"i-MAE: Are Latent Representations in Masked Autoencoders Linearly Separable?","created":"2022-10-20","cited_by_count":8,"area":null},{"id":"2302.06148","title":"CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets","created":"2023-02-13","cited_by_count":8,"area":null},{"id":"2303.17316","title":"Masked Autoencoders as Image Processors","created":"2023-03-30","cited_by_count":8,"area":null},{"id":"2306.08249","title":"Deblurring Masked Autoencoder is Better Recipe for Ultrasound Image Recognition","created":"2023-06-14","cited_by_count":8,"area":null},{"id":"2310.05393","title":"Hierarchical Side-Tuning for Vision Transformers","created":"2023-10-09","cited_by_count":8,"area":null},{"id":"2409.19342","title":"X-Prompt: Multi-modal Visual Prompt for Video Object Segmentation","created":"2024-09-28","cited_by_count":7,"area":null},{"id":"2301.00230","title":"Disjoint Masking with Joint Distillation for Efficient Masked Image Modeling","created":"2022-12-31","cited_by_count":6,"area":null},{"id":"2403.08682","title":"OneVOS: Unifying Video Object Segmentation with All-in-One Transformer Framework","created":"2024-03-13","cited_by_count":6,"area":null},{"id":"2305.07910","title":"Mask to reconstruct: Cooperative Semantics Completion for Video-text Retrieval","created":"2023-05-13","cited_by_count":5,"area":null},{"id":"2305.15248","title":"Delving Deeper into Data Scaling in Masked Image Modeling","created":"2023-05-24","cited_by_count":5,"area":null},{"id":"2306.02854","title":"Asymmetric Patch Sampling for Contrastive Learning","created":"2023-06-05","cited_by_count":5,"area":null},{"id":"2409.18536","title":"How Effective is Pre-training of Large Masked Autoencoders for Downstream Earth Observation Tasks?","created":"2024-09-27","cited_by_count":5,"area":null},{"id":"2211.13228","title":"Self-Supervised Learning based on Heat Equation","created":"2022-11-23","cited_by_count":4,"area":null},{"id":"2302.13869","title":"EDMAE: An Efficient Decoupled Masked Autoencoder for Standard View Identification in Pediatric Echocardiography","created":"2023-02-27","cited_by_count":4,"area":null},{"id":"2403.07692","title":"Masked AutoDecoder is Effective Multi-Task Vision Generalist","created":"2024-03-12","cited_by_count":4,"area":null},{"id":"2604.21681","title":"Sapiens2","created":"2026-04-23","cited_by_count":4,"area":null},{"id":"2301.12058","title":"Aerial Image Object Detection With Vision Transformer Detector (ViTDet)","created":"2023-01-28","cited_by_count":3,"area":null},{"id":"2306.05442","title":"FlowFormer: A Transformer Architecture and Its Masked Cost Volume Autoencoding for Optical Flow","created":"2023-06-08","cited_by_count":3,"area":null},{"id":"2407.19014","title":"Sparse Refinement for Efficient High-Resolution Semantic Segmentation","created":"2024-07-26","cited_by_count":3,"area":null},{"id":"2408.02079","title":"Improving Neural Surface Reconstruction with Feature Priors from Multi-View Image","created":"2024-08-04","cited_by_count":3,"area":null},{"id":"2409.19582","title":"Self-supervised Auxiliary Learning for Texture and Model-based Hybrid Robust and Fair Featuring in Face Analysis","created":"2024-09-29","cited_by_count":3,"area":null},{"id":"2503.00782","title":"Wavelet-Driven Masked Image Modeling: A Path to Efficient Visual Representation","created":"2025-03-02","cited_by_count":3,"area":null},{"id":"2302.14256","title":"Remote Sensing Scene Classification with Masked Image Modeling (MIM)","created":"2023-02-28","cited_by_count":2,"area":null},{"id":"2303.01740","title":"Mover: Mask and Recovery based Facial Part Consistency Aware Method for Deepfake Video Detection","created":"2023-03-03","cited_by_count":2,"area":null},{"id":"2305.16319","title":"Image as First-Order Norm+Linear Autoregression: Unveiling Mathematical Invariance","created":"2023-05-25","cited_by_count":2,"area":null},{"id":"2309.15313","title":"M$^{3}$3D: Learning 3D priors using Multi-Modal Masked Autoencoders for 2D image and video understanding","created":"2023-09-26","cited_by_count":2,"area":null},{"id":"2403.09290","title":"SELECTOR: Heterogeneous graph network with convolutional masked autoencoder for multimodal robust prediction of cancer survival","created":"2024-03-14","cited_by_count":2,"area":null},{"id":"2405.02512","title":"SatSwinMAE: Efficient Autoencoding for Multiscale Time-series Satellite Imagery","created":"2024-05-03","cited_by_count":2,"area":null},{"id":"2410.07442","title":"Self-Supervised Learning for Real-World Object Detection: a Survey","created":"2024-10-09","cited_by_count":2,"area":null},{"id":"2508.05507","title":"Revealing Latent Information: A Physics-inspired Self-supervised Pre-training Framework for Noisy and Sparse Events","created":"2025-08-07","cited_by_count":2,"area":null},{"id":"2212.05677","title":"Masked autoencoders are effective solution to transformer data-hungry","created":"2022-12-12","cited_by_count":1,"area":null},{"id":"2310.12976","title":"Exploring Invariance in Images through One-way Wave Equations","created":"2023-10-19","cited_by_count":1,"area":null},{"id":"2312.02194","title":"Local Masking Meets Progressive Freezing: Crafting Efficient Vision Transformers for Self-Supervised Learning","created":"2023-12-02","cited_by_count":1,"area":null},{"id":"2312.15858","title":"Learning Online Policies for Person Tracking in Multi-View Environments","created":"2023-12-26","cited_by_count":1,"area":null},{"id":"2409.01781","title":"Dual Advancement of Representation Learning and Clustering for Sparse and Noisy Images","created":"2024-09-03","cited_by_count":1,"area":null},{"id":"2502.08200","title":"ActiveSSF: An Active-Learning-Guided Self-Supervised Framework for Long-Tailed Megakaryocyte Classification","created":"2025-02-12","cited_by_count":1,"area":null},{"id":"2603.19964","title":"2K Retrofit: Entropy-Guided Efficient Sparse Refinement for High-Resolution 3D Geometry Prediction","created":"2026-03-20","cited_by_count":1,"area":null},{"id":"2212.10939","title":"Joint Embedding of 2D and 3D Networks for Medical Image Anomaly Detection","created":"2022-12-21","cited_by_count":0,"area":null},{"id":"2302.05968","title":"Self-supervised pseudo-colorizing of masked cells","created":"2023-02-12","cited_by_count":0,"area":null},{"id":"2302.09498","title":"Mutual Exclusive Modulator for Long-Tailed Recognition","created":"2023-02-19","cited_by_count":0,"area":null},{"id":"2308.13505","title":"Joint Modeling of Feature, Correspondence, and a Compressed Memory for Video Object Segmentation","created":"2023-08-25","cited_by_count":0,"area":null},{"id":"2309.04312","title":"AMLP: Adjustable Masking Lesion Patches for Self-Supervised Medical Image Segmentation","created":"2023-09-08","cited_by_count":0,"area":null},{"id":"2310.12405","title":"LoMAE: Low-level Vision Masked Autoencoders for Low-dose CT Denoising","created":"2023-10-19","cited_by_count":0,"area":null},{"id":"2405.07702","title":"FORESEE: Multimodal and Multi-view Representation Learning for Robust Prediction of Cancer Survival","created":"2024-05-13","cited_by_count":0,"area":null},{"id":"2408.02245","title":"A Two-Stage Progressive Pre-training using Multi-Modal Contrastive Masked Autoencoders","created":"2024-08-05","cited_by_count":0,"area":null},{"id":"2501.03005","title":"PiLaMIM: Toward Richer Visual Representations by Integrating Pixel and Latent Masked Image Modeling","created":"2025-01-06","cited_by_count":0,"area":null},{"id":"2509.15642","title":"UNIV: Unified Foundation Model for Infrared and Visible Modalities","created":"2025-09-19","cited_by_count":0,"area":null},{"id":"2512.04511","title":"DuGI-MAE: Improving Infrared Mask Autoencoders via Dual-Domain Guidance","created":"2025-12-04","cited_by_count":0,"area":null},{"id":"2512.06981","title":"Selective Masking based Self-Supervised Learning for Image Semantic Segmentation","created":"2025-12-07","cited_by_count":0,"area":null},{"id":"2602.03531","title":"Robust Representation Learning in Masked Autoencoders","created":"2026-02-03","cited_by_count":0,"area":null},{"id":"2603.22190","title":"A Backbone Benchmarking Study on Self-supervised Learning as a Auxiliary Task with Texture-based Local Descriptors for Face Analysis","created":"2026-03-23","cited_by_count":0,"area":null},{"id":"2603.25597","title":"Spatiotemporal System Forecasting with Irregular Time Steps via Masked Autoencoder","created":"2026-03-26","cited_by_count":0,"area":null},{"id":"2604.27499","title":"Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark","created":"2026-04-30","cited_by_count":0,"area":null},{"id":"2605.10184","title":"Developing a foundation model for high-resolution remote sensing data of the Netherlands","created":"2026-05-11","cited_by_count":0,"area":null},{"id":"2607.23554","title":"Neonatal Hypoxic-ischaemic Encephalopathy Classification from the EEG and HRV Signals Using a Conformer based Masked Autoencoder","created":"2026-07-26","cited_by_count":0,"area":null}],"next_cursor":null}