{"total":69,"rows":[{"id":"2209.01589","title":"Consistent-Teacher: Towards Reducing Inconsistent Pseudo-targets in Semi-supervised Object Detection","created":"2022-09-04","cited_by_count":43,"area":null},{"id":"2308.05864","title":"The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions","created":"2023-08-10","cited_by_count":39,"area":null},{"id":"2403.11074","title":"Audio-Visual Segmentation via Unlabeled Frame Exploitation","created":"2024-03-17","cited_by_count":28,"area":null},{"id":"2307.08095","title":"Semi-DETR: Semi-Supervised Object Detection with Detection Transformers","created":"2023-07-16","cited_by_count":27,"area":null},{"id":"2403.17373","title":"AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving","created":"2024-03-26","cited_by_count":26,"area":"driving"},{"id":"2304.01464","title":"Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection","created":"2023-04-04","cited_by_count":24,"area":"distill"},{"id":"2304.10756","title":"Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation","created":"2023-04-21","cited_by_count":24,"area":null},{"id":"2311.17286","title":"LEOD: Label-Efficient Object Detection for Event Cameras","created":"2023-11-29","cited_by_count":24,"area":null},{"id":"2304.04515","title":"SOOD: Towards Semi-Supervised Oriented Object Detection","created":"2023-04-10","cited_by_count":19,"area":null},{"id":"2303.05079","title":"DDS3D: Dense Pseudo-Labels with Dynamic Threshold for Semi-Supervised 3D Object Detection","created":"2023-03-09","cited_by_count":18,"area":null},{"id":"2312.04548","title":"Multiview Aerial Visual Recognition (MAVREC): Can Multi-view Improve Aerial Visual Perception?","created":"2023-12-07","cited_by_count":18,"area":null},{"id":"2302.07577","title":"Efficient Teacher: Semi-Supervised Object Detection for YOLOv5","created":"2023-02-15","cited_by_count":17,"area":null},{"id":"2304.13031","title":"DQS3D: Densely-matched Quantization-aware Semi-supervised 3D Detection","created":"2023-04-25","cited_by_count":16,"area":null},{"id":"2303.14960","title":"Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection","created":"2023-03-27","cited_by_count":14,"area":null},{"id":"2303.09061","title":"MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection","created":"2023-03-16","cited_by_count":13,"area":null},{"id":"2404.01819","title":"Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection","created":"2024-04-02","cited_by_count":13,"area":null},{"id":"2407.11464","title":"Crowd-SAM: SAM as a Smart Annotator for Object Detection in Crowded Scenes","created":"2024-07-16","cited_by_count":13,"area":null},{"id":"2211.03850","title":"Polite Teacher: Semi-Supervised Instance Segmentation with Mutual Learning and Pseudo-Label Thresholding","created":"2022-11-07","cited_by_count":12,"area":null},{"id":"2407.01016","title":"SOOD++: Leveraging Unlabeled Data to Boost Oriented Object Detection","created":"2024-07-01","cited_by_count":12,"area":null},{"id":"2407.05909","title":"Multi-clue Consistency Learning to Bridge Gaps Between General and Oriented Object in Semi-supervised Detection","created":"2024-07-08","cited_by_count":11,"area":null},{"id":"2312.07006","title":"Mixed Pseudo Labels for Semi-Supervised Object Detection","created":"2023-12-12","cited_by_count":10,"area":null},{"id":"2309.07914","title":"ALWOD: Active Learning for Weakly-Supervised Object Detection","created":"2023-09-14","cited_by_count":8,"area":null},{"id":"2407.19675","title":"Semi-Supervised Teacher-Reference-Student Architecture for Action Quality Assessment","created":"2024-07-29","cited_by_count":8,"area":null},{"id":"2407.03251","title":"ACTRESS: Active Retraining for Semi-supervised Visual Grounding","created":"2024-07-03","cited_by_count":7,"area":null},{"id":"2212.02747","title":"Semi-Supervised Object Detection with Object-wise Contrastive Learning and Regression Uncertainty","created":"2022-12-06","cited_by_count":5,"area":null},{"id":"2303.13916","title":"Self-Supervised Reversed Image Signal Processing via Reference-Guided Dynamic Parameter Selection","created":"2023-03-24","cited_by_count":5,"area":null},{"id":"2306.02268","title":"Revisiting Class Imbalance for End-to-end Semi-Supervised Object Detection","created":"2023-06-04","cited_by_count":5,"area":null},{"id":"2212.05911","title":"Adaptive Self-Training for Object Detection","created":"2022-12-07","cited_by_count":4,"area":null},{"id":"2310.05498","title":"Semi-Supervised Object Detection with Uncurated Unlabeled Data for Remote Sensing Images","created":"2023-10-09","cited_by_count":4,"area":null},{"id":"2310.18142","title":"Semi-Supervised Panoptic Narrative Grounding","created":"2023-10-27","cited_by_count":4,"area":null},{"id":"2407.08460","title":"Semi-Supervised Object Detection: A Survey on Progress from CNN to Transformer","created":"2024-07-11","cited_by_count":4,"area":null},{"id":"2411.02057","title":"Exploiting Unlabeled Data with Multiple Expert Teachers for Open Vocabulary Aerial Object Detection and Its Orientation Adaptation","created":"2024-11-04","cited_by_count":4,"area":null},{"id":"2303.02998","title":"Pseudo-label Correction and Learning For Semi-Supervised Object Detection","created":"2023-03-06","cited_by_count":3,"area":null},{"id":"2303.12992","title":"A Survey of Historical Learning: Learning Models with Learning History","created":"2023-03-23","cited_by_count":3,"area":null},{"id":"2310.16835","title":"Proposal-Contrastive Pretraining for Object Detection from Fewer Data","created":"2023-10-25","cited_by_count":3,"area":null},{"id":"2403.03390","title":"Performance Evaluation of Semi-supervised Learning Frameworks for Multi-Class Weed Detection","created":"2024-03-06","cited_by_count":3,"area":null},{"id":"2403.15127","title":"Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection","created":"2024-03-22","cited_by_count":3,"area":null},{"id":"2405.20729","title":"Extreme Point Supervised Instance Segmentation","created":"2024-05-31","cited_by_count":3,"area":null},{"id":"2507.02751","title":"Partial Weakly-Supervised Oriented Object Detection","created":"2025-07-03","cited_by_count":3,"area":null},{"id":"2303.05739","title":"LEDetection: A Simple Framework for Semi-Supervised Few-Shot Object Detection","created":"2023-03-10","cited_by_count":2,"area":null},{"id":"2305.14813","title":"Semi-Supervised and Long-Tailed Object Detection with CascadeMatch","created":"2023-05-24","cited_by_count":2,"area":null},{"id":"2309.01391","title":"SSVOD: Semi-Supervised Video Object Detection with Sparse Annotations","created":"2023-09-04","cited_by_count":2,"area":null},{"id":"2504.09966","title":"SemiETS: Integrating Spatial and Content Consistencies for Semi-Supervised End-to-end Text Spotting","created":"2025-04-14","cited_by_count":2,"area":null},{"id":"2509.16970","title":"LLM-Assisted Semantic Guidance for Sparsely Annotated Remote Sensing Object Detection","created":"2025-09-21","cited_by_count":2,"area":null},{"id":"2601.12715","title":"RSOD: Reliability-Guided Sonar Image Object Detection with Extremely Limited Labels","created":"2026-01-19","cited_by_count":2,"area":null},{"id":"2302.11299","title":"Towards End-to-end Semi-supervised Learning for One-stage Object Detection","created":"2023-02-22","cited_by_count":1,"area":null},{"id":"2307.13755","title":"Training-based Model Refinement and Representation Disagreement for Semi-Supervised Object Detection","created":"2023-07-25","cited_by_count":1,"area":"distill"},{"id":"2403.17390","title":"SSF3D: Strict Semi-Supervised 3D Object Detection with Switching Filter","created":"2024-03-26","cited_by_count":1,"area":null},{"id":"2404.16331","title":"IMWA: Iterative Model Weight Averaging Benefits Class-Imbalanced Learning Tasks","created":"2024-04-25","cited_by_count":1,"area":null},{"id":"2405.07399","title":"Semi-Supervised Weed Detection for Rapid Deployment and Enhanced Efficiency","created":"2024-05-12","cited_by_count":1,"area":null},{"id":"2502.17822","title":"Easy-Poly: An Easy Polyhedral Framework For 3D Multi-Object Tracking","created":"2025-02-25","cited_by_count":1,"area":null},{"id":"2508.10445","title":"DOD-SA: Infrared-Visible Decoupled Object Detection with Single-Modality Annotations","created":"2025-08-14","cited_by_count":1,"area":null},{"id":"2508.11167","title":"VFM-Guided Semi-Supervised Detection Transformer under Source-Free Constraints for Remote Sensing Object Detection","created":"2025-08-15","cited_by_count":1,"area":null},{"id":"2512.23208","title":"Exploring Syn-to-Real Domain Adaptation for Military Target Detection","created":"2025-12-29","cited_by_count":1,"area":null},{"id":"2306.06149","title":"Read, look and detect: Bounding box annotation from image-caption pairs","created":"2023-06-09","cited_by_count":0,"area":null},{"id":"2308.05032","title":"Density Crop-guided Semi-supervised Object Detection in Aerial Images","created":"2023-08-09","cited_by_count":0,"area":null},{"id":"2310.00099","title":"Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation","created":"2023-09-29","cited_by_count":0,"area":null},{"id":"2310.14718","title":"Rethinking Scale Imbalance in Semi-supervised Object Detection for Aerial Images","created":"2023-10-23","cited_by_count":0,"area":null},{"id":"2401.05362","title":"DualTeacher: Bridging Coexistence of Unlabelled Classes for Semi-supervised Incremental Object Detection","created":"2023-12-13","cited_by_count":0,"area":null},{"id":"2404.01929","title":"Towards Enhanced Analysis of Lung Cancer Lesions in EBUS-TBNA -- A Semi-Supervised Video Object Detection Method","created":"2024-04-02","cited_by_count":0,"area":null},{"id":"2405.13374","title":"Collaboration of Teachers for Semi-supervised Object Detection","created":"2024-05-22","cited_by_count":0,"area":null},{"id":"2407.01971","title":"Pseudo-Labeling by Multi-Policy Viewfinder Network for Image Cropping","created":"2024-07-02","cited_by_count":0,"area":null},{"id":"2408.09460","title":"Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning","created":"2024-08-18","cited_by_count":0,"area":null},{"id":"2411.17536","title":"Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning","created":"2024-11-26","cited_by_count":0,"area":null},{"id":"2602.03634","title":"SPWOOD: Sparse Partial Weakly-Supervised Oriented Object Detection","created":"2026-02-03","cited_by_count":0,"area":null},{"id":"2605.15720","title":"Semi-MedRef: Semi-Supervised Medical Referring Image Segmentation with Cross-Modal Alignment","created":"2026-05-15","cited_by_count":0,"area":null},{"id":"2606.30795","title":"Simple Supervision Is Hard to Beat: A Bitter Lesson from Sparse Target Labels in Domain-Adaptive Object Detection","created":"2026-06-29","cited_by_count":0,"area":"distill"},{"id":"2608.04766","title":"FUSEP: A Multi-Center Benchmark for Diverse Tasks in Early Pregnancy Fetal Ultrasound Screening","created":"2026-08-05","cited_by_count":0,"area":null},{"id":"2609.18124","title":"Aligned Consensus Teaching for Label-Efficient Oriented Object Detection in Weakly-Aligned Visible-Infrared Imagery","created":"2026-09-16","cited_by_count":0,"area":null}],"next_cursor":null}