{"total":68,"rows":[{"id":"2312.14238","title":"InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks","created":"2023-12-21","cited_by_count":2565,"area":"mllm"},{"id":"2401.06209","title":"Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs","created":"2024-01-11","cited_by_count":735,"area":"mllm"},{"id":"2309.10020","title":"Multimodal Foundation Models: From Specialists to General-Purpose Assistants","created":"2023-09-18","cited_by_count":247,"area":null},{"id":"2408.12569","title":"Sapiens: Foundation for Human Vision Models","created":"2024-08-22","cited_by_count":229,"area":null},{"id":"2311.00566","title":"CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders","created":"2023-11-01","cited_by_count":169,"area":null},{"id":"2401.08541","title":"Scalable Pre-training of Large Autoregressive Image Models","created":"2024-01-16","cited_by_count":115,"area":null},{"id":"2305.13035","title":"Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design","created":"2023-05-22","cited_by_count":89,"area":null},{"id":"2504.01017","title":"Scaling Language-Free Visual Representation Learning","created":"2025-04-01","cited_by_count":66,"area":null},{"id":"2401.14484","title":"Design Principles for Generative AI Applications","created":"2024-01-25","cited_by_count":57,"area":null},{"id":"2406.04303","title":"Vision-LSTM: xLSTM as Generic Vision Backbone","created":"2024-06-06","cited_by_count":51,"area":null},{"id":"2310.09289","title":"An Unbiased Look at Datasets for Visuo-Motor Pre-Training","created":"2023-10-13","cited_by_count":42,"area":null},{"id":"2305.08776","title":"Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models","created":"2023-05-15","cited_by_count":27,"area":"distill"},{"id":"2311.16102","title":"Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback","created":"2023-11-27","cited_by_count":27,"area":"diffusion"},{"id":"2312.03408","title":"Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future","created":"2023-12-06","cited_by_count":23,"area":null},{"id":"2306.08913","title":"Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder","created":"2023-06-15","cited_by_count":21,"area":null},{"id":"2507.14137","title":"Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning","created":"2025-07-18","cited_by_count":21,"area":null},{"id":"2508.20691","title":"MobileCLIP2: Improving Multi-Modal Reinforced Training","created":"2025-08-28","cited_by_count":21,"area":"distill"},{"id":"2402.10093","title":"MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations","created":"2024-02-15","cited_by_count":19,"area":null},{"id":"2304.10520","title":"Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget","created":"2023-04-20","cited_by_count":15,"area":null},{"id":"2407.15447","title":"SIGMA: Sinkhorn-Guided Masked Video Modeling","created":"2024-07-22","cited_by_count":14,"area":null},{"id":"2502.13928","title":"Symmetrical Visual Contrastive Optimization: Aligning Vision-Language Models with Minimal Contrastive Images","created":"2025-02-19","cited_by_count":14,"area":"mllm"},{"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":"2401.11311","title":"A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models","created":"2024-01-20","cited_by_count":13,"area":null},{"id":"2411.02572","title":"ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy","created":"2024-11-04","cited_by_count":13,"area":null},{"id":"2404.10947","title":"Residual Connections Harm Generative Representation Learning","created":"2024-04-16","cited_by_count":11,"area":"diffusion"},{"id":"2503.10392","title":"RoMA: Scaling up Mamba-based Foundation Models for Remote Sensing","created":"2025-03-13","cited_by_count":11,"area":"ssm"},{"id":"2405.20299","title":"Scaling White-Box Transformers for Vision","created":"2024-05-30","cited_by_count":9,"area":null},{"id":"2412.02690","title":"FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation","created":"2024-12-03","cited_by_count":8,"area":null},{"id":"2502.02307","title":"UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training","created":"2025-02-04","cited_by_count":8,"area":null},{"id":"2512.16635","title":"SARMAE: Masked Autoencoder for SAR Representation Learning","created":"2025-12-18","cited_by_count":8,"area":null},{"id":"2405.08911","title":"CLIP with Quality Captions: A Strong Pretraining for Vision Tasks","created":"2024-05-14","cited_by_count":7,"area":null},{"id":"2405.16847","title":"TokenUnify: Scaling Up Autoregressive Pretraining for Neuron Segmentation","created":"2024-05-27","cited_by_count":7,"area":null},{"id":"2503.02844","title":"Beyond Cosine Decay: On the effectiveness of Infinite Learning Rate Schedule for Continual Pre-training","created":"2025-03-04","cited_by_count":7,"area":null},{"id":"2311.06231","title":"Learning Human Action Recognition Representations Without Real Humans","created":"2023-11-10","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":"2411.15648","title":"Sample- and Parameter-Efficient Auto-Regressive Image Models","created":"2024-11-23","cited_by_count":5,"area":null},{"id":"2412.01672","title":"Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning","created":"2024-12-02","cited_by_count":5,"area":"diffusion"},{"id":"2510.10584","title":"Equipping Vision Foundation Model with Mixture of Experts for Out-of-Distribution Detection","created":"2025-10-12","cited_by_count":5,"area":"moe"},{"id":"2309.01005","title":"RevColV2: Exploring Disentangled Representations in Masked Image Modeling","created":"2023-09-02","cited_by_count":4,"area":null},{"id":"2311.03233","title":"Navigating Scaling Laws: Compute Optimality in Adaptive Model Training","created":"2023-11-06","cited_by_count":4,"area":null},{"id":"2502.17066","title":"DUNIA: Pixel-Sized Embeddings via Cross-Modal Alignment for Earth Observation Applications","created":"2025-02-24","cited_by_count":4,"area":null},{"id":"2503.11341","title":"Self-Supervised Pretraining for Fine-Grained Plankton Recognition","created":"2025-03-14","cited_by_count":4,"area":null},{"id":"2505.18930","title":"WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification","created":"2025-05-25","cited_by_count":4,"area":null},{"id":"2506.22908","title":"Attention to the Burstiness in Visual Prompt Tuning!","created":"2025-06-28","cited_by_count":4,"area":null},{"id":"2510.17700","title":"Elastic ViTs from Pretrained Models without Retraining","created":"2025-10-20","cited_by_count":4,"area":null},{"id":"2304.11381","title":"Incomplete Multimodal Learning for Remote Sensing Data Fusion","created":"2023-04-22","cited_by_count":3,"area":null},{"id":"2309.01561","title":"Locality-Aware Hyperspectral Classification","created":"2023-09-04","cited_by_count":3,"area":null},{"id":"2311.07634","title":"ActiveDC: Distribution Calibration for Active Finetuning","created":"2023-11-13","cited_by_count":3,"area":null},{"id":"2407.18658","title":"Adversarial Robustification via Text-to-Image Diffusion Models","created":"2024-07-26","cited_by_count":3,"area":"diffusion"},{"id":"2307.14866","title":"Sample Less, Learn More: Efficient Action Recognition via Frame Feature Restoration","created":"2023-07-27","cited_by_count":2,"area":null},{"id":"2501.00873","title":"Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation","created":"2025-01-01","cited_by_count":2,"area":"diffusion"},{"id":"2506.15313","title":"MapFM: Foundation Model-Driven HD Mapping with Multi-Task Contextual Learning","created":"2025-06-18","cited_by_count":2,"area":null},{"id":"2312.01987","title":"Bootstrapping SparseFormers from Vision Foundation Models","created":"2023-12-04","cited_by_count":1,"area":null},{"id":"2402.16092","title":"StochCA: A Novel Approach for Exploiting Pretrained Models with Cross-Attention","created":"2024-02-25","cited_by_count":1,"area":null},{"id":"2406.01203","title":"Scaling Up Deep Clustering Methods Beyond ImageNet-1K","created":"2024-06-03","cited_by_count":1,"area":null},{"id":"2412.12331","title":"Efficient Object-centric Representation Learning with Pre-trained Geometric Prior","created":"2024-12-16","cited_by_count":1,"area":null},{"id":"2504.07567","title":"Benchmarking Image Embeddings for E-Commerce: Evaluating Off-the Shelf Foundation Models, Fine-Tuning Strategies and Practical Trade-offs","created":"2025-04-10","cited_by_count":1,"area":null},{"id":"2512.17545","title":"ClothHMR: 3D Mesh Recovery of Humans in Diverse Clothing from Single Image","created":"2025-12-19","cited_by_count":1,"area":null},{"id":"2608.22368","title":"DiD It in 87 Minutes: A Label-Free Softmax-to-Linear Adaptation of Vision Transformers for Object Detection","created":"2026-08-23","cited_by_count":1,"area":null},{"id":"2411.09363","title":"When Mamba Meets xLSTM: An Efficient and Precise Method with the xLSTM-VMUNet Model for Skin lesion Segmentation","created":"2024-11-14","cited_by_count":0,"area":"ssm"},{"id":"2411.12555","title":"Multivariate and Online Transfer Learning with Uncertainty Quantification","created":"2024-11-19","cited_by_count":0,"area":null},{"id":"2505.06710","title":"SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images","created":"2025-05-10","cited_by_count":0,"area":null},{"id":"2506.15381","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","created":"2025-06-18","cited_by_count":0,"area":"diffusion"},{"id":"2506.21724","title":"Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning","created":"2025-06-26","cited_by_count":0,"area":"distill"},{"id":"2601.02289","title":"Rank-based Geographical Regularization: Revisiting Contrastive Self-Supervised Learning for Multispectral Remote Sensing Imagery","created":"2026-01-05","cited_by_count":0,"area":null},{"id":"2602.16918","title":"Xray-Visual Models: Scaling Vision models on Industry Scale Data","created":"2026-02-18","cited_by_count":0,"area":null},{"id":"2609.28473","title":"On the Diffusibility of High-Dimensional Latents","created":"2026-09-23","cited_by_count":0,"area":"diffusion"},{"id":"2609.38278","title":"Masked Swingers: Harnessing Data Augmentation to Advance Autoencoders for Self-Supervised Learning","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}