{"total":55,"rows":[{"id":"2211.07636","title":"EVA: Exploring the Limits of Masked Visual Representation Learning at Scale","created":"2022-11-14","cited_by_count":691,"area":null},{"id":"2205.08534","title":"Vision Transformer Adapter for Dense Predictions","created":"2022-05-17","cited_by_count":565,"area":null},{"id":"2206.02777","title":"Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation","created":"2022-06-06","cited_by_count":344,"area":null},{"id":"2203.04838","title":"CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers","created":"2022-03-09","cited_by_count":231,"area":null},{"id":"2203.11926","title":"Focal Modulation Networks","created":"2022-03-22","cited_by_count":186,"area":null},{"id":"2305.16223","title":"Prompt-Free Diffusion: Taking \"Text\" out of Text-to-Image Diffusion Models","created":"2023-05-25","cited_by_count":62,"area":"diffusion"},{"id":"2403.01818","title":"AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation","created":"2024-03-04","cited_by_count":35,"area":null},{"id":"2210.01035","title":"Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning","created":"2022-10-03","cited_by_count":33,"area":null},{"id":"2306.05399","title":"Matting Anything","created":"2023-06-08","cited_by_count":31,"area":null},{"id":"2302.06378","title":"Semantic Image Segmentation: Two Decades of Research","created":"2023-02-13","cited_by_count":27,"area":null},{"id":"2406.02842","title":"DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut","created":"2024-06-05","cited_by_count":26,"area":null},{"id":"2211.13999","title":"CoMFormer: Continual Learning in Semantic and Panoptic Segmentation","created":"2022-11-25","cited_by_count":25,"area":null},{"id":"2208.12801","title":"VMFormer: End-to-End Video Matting with Transformer","created":"2022-08-26","cited_by_count":20,"area":null},{"id":"2303.01112","title":"Visual Atoms: Pre-training Vision Transformers with Sinusoidal Waves","created":"2023-03-02","cited_by_count":20,"area":null},{"id":"2303.11135","title":"TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization","created":"2023-03-20","cited_by_count":18,"area":null},{"id":"2204.01244","title":"Dynamic Focus-aware Positional Queries for Semantic Segmentation","created":"2022-04-04","cited_by_count":16,"area":null},{"id":"2310.05026","title":"Low-Resolution Self-Attention for Semantic Segmentation","created":"2023-10-08","cited_by_count":12,"area":null},{"id":"2203.04187","title":"RankSeg: Adaptive Pixel Classification with Image Category Ranking for Segmentation","created":"2022-03-08","cited_by_count":11,"area":null},{"id":"2401.01752","title":"FullLoRA: Efficiently Boosting the Robustness of Pretrained Vision Transformers","created":"2024-01-03","cited_by_count":9,"area":null},{"id":"2201.04019","title":"Pyramid Fusion Transformer for Semantic Segmentation","created":"2022-01-11","cited_by_count":6,"area":null},{"id":"2405.18745","title":"PanoNormal: Monocular Indoor 360{\\deg} Surface Normal Estimation","created":"2024-05-29","cited_by_count":6,"area":null},{"id":"2209.15211","title":"Dual Progressive Transformations for Weakly Supervised Semantic Segmentation","created":"2022-09-30","cited_by_count":4,"area":null},{"id":"2212.13764","title":"Representation Separation for Semantic Segmentation with Vision Transformers","created":"2022-12-28","cited_by_count":4,"area":null},{"id":"2308.12831","title":"EFormer: Enhanced Transformer towards Semantic-Contour Features of Foreground for Portraits Matting","created":"2023-08-24","cited_by_count":4,"area":null},{"id":"2311.04212","title":"Video Instance Matting","created":"2023-11-07","cited_by_count":4,"area":null},{"id":"2511.02652","title":"Differentiable Hierarchical Visual Tokenization","created":"2025-11-04","cited_by_count":4,"area":null},{"id":"2604.24575","title":"Diffusion Model as a Generalist Segmentation Learner","created":"2026-04-27","cited_by_count":4,"area":"diffusion"},{"id":"2412.08671","title":"A Deep Semantic Segmentation Network with Semantic and Contextual Refinements","created":"2024-12-11","cited_by_count":3,"area":null},{"id":"2506.09724","title":"The Four Color Theorem for Cell Instance Segmentation","created":"2025-06-11","cited_by_count":3,"area":null},{"id":"2209.05395","title":"Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer Learning","created":"2022-09-12","cited_by_count":2,"area":null},{"id":"2305.08462","title":"Not All Pixels Are Equal: Learning Pixel Hardness for Semantic Segmentation","created":"2023-05-15","cited_by_count":2,"area":null},{"id":"2401.01750","title":"Towards Robust Semantic Segmentation against Patch-based Attack via Attention Refinement","created":"2024-01-03","cited_by_count":2,"area":null},{"id":"2412.15595","title":"Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving","created":"2024-12-20","cited_by_count":2,"area":null},{"id":"2503.18553","title":"ATARS: An Aerial Traffic Atomic Activity Recognition and Temporal Segmentation Dataset","created":"2025-03-24","cited_by_count":2,"area":null},{"id":"2505.03113","title":"Image Recognition with Online Lightweight Vision Transformer: A Survey","created":"2025-05-06","cited_by_count":2,"area":null},{"id":"2512.11560","title":"Multi-temporal Calving Front Segmentation","created":"2025-12-12","cited_by_count":2,"area":null},{"id":"2211.10253","title":"Delving into Transformer for Incremental Semantic Segmentation","created":"2022-11-18","cited_by_count":1,"area":null},{"id":"2212.03338","title":"Framework-agnostic Semantically-aware Global Reasoning for Segmentation","created":"2022-12-06","cited_by_count":1,"area":null},{"id":"2405.09014","title":"Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy","created":"2024-05-15","cited_by_count":1,"area":null},{"id":"2409.02846","title":"MaDis-Stereo: Enhanced Stereo Matching via Distilled Masked Image Modeling","created":"2024-09-04","cited_by_count":1,"area":null},{"id":"2410.08092","title":"UW-SDF: Exploiting Hybrid Geometric Priors for Neural SDF Reconstruction from Underwater Multi-view Monocular Images","created":"2024-10-10","cited_by_count":1,"area":null},{"id":"2509.21056","title":"Stratify or Die: Rethinking Data Splits in Image Segmentation","created":"2025-09-25","cited_by_count":1,"area":null},{"id":"2510.16747","title":"An Efficient Semantic Segmentation Decoder for In-Car or Distributed Applications","created":"2025-10-19","cited_by_count":1,"area":null},{"id":"2203.01994","title":"Fast Neural Architecture Search for Lightweight Dense Prediction Networks","created":"2022-03-03","cited_by_count":0,"area":null},{"id":"2310.04181","title":"DiffPrompter: Differentiable Implicit Visual Prompts for Semantic-Segmentation in Adverse Conditions","created":"2023-10-06","cited_by_count":0,"area":null},{"id":"2312.13764","title":"A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties","created":"2023-12-21","cited_by_count":0,"area":null},{"id":"2406.14201","title":"Trusting Semantic Segmentation Networks","created":"2024-06-20","cited_by_count":0,"area":null},{"id":"2406.18176","title":"VIPriors 4: Visual Inductive Priors for Data-Efficient Deep Learning Challenges","created":"2024-06-26","cited_by_count":0,"area":null},{"id":"2408.04723","title":"Survey: Transformer-based Models in Data Modality Conversion","created":"2024-08-08","cited_by_count":0,"area":null},{"id":"2410.07955","title":"Iterative Optimization Annotation Pipeline and ALSS-YOLO-Seg for Efficient Banana Plantation Segmentation in UAV Imagery","created":"2024-10-09","cited_by_count":0,"area":null},{"id":"2411.13021","title":"Chanel-Orderer: A Channel-Ordering Predictor for Tri-Channel Natural Images","created":"2024-11-20","cited_by_count":0,"area":null},{"id":"2502.16421","title":"Learning from Rendering: Realistic and Controllable Extreme Rainy Image Synthesis for Autonomous Driving Simulation","created":"2025-02-23","cited_by_count":0,"area":null},{"id":"2506.08612","title":"Data-Efficient Challenges in Visual Inductive Priors: A Retrospective","created":"2025-06-10","cited_by_count":0,"area":null},{"id":"2601.01167","title":"Cross-Layer Attentive Feature Upsampling for Low-latency Semantic Segmentation","created":"2026-01-03","cited_by_count":0,"area":null},{"id":"2603.27697","title":"Can Unsupervised Segmentation Reduce Annotation Costs for Video Semantic Segmentation?","created":"2026-03-29","cited_by_count":0,"area":null}],"next_cursor":null}