SOTAVerified

Semi-Supervised Object Detection

Semi-supervised object detection uses both labeled data and unlabeled data for training. It not only reduces the annotation burden for training high-performance object detectors but also further improves the object detector by using a large number of unlabeled data.

Papers

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Showing 51–100 of 115 papers

TitleStatusHype
Active Teacher for Semi-Supervised Object DetectionCode1
Pseudo-label Correction and Learning For Semi-Supervised Object Detection—0
Towards End-to-end Semi-supervised Learning for One-stage Object DetectionCode1
Efficient Teacher: Semi-Supervised Object Detection for YOLOv5Code2
Learning Object-level Point Augmentor for Semi-supervised 3D Object DetectionCode1
Adaptive Self-Training for Object DetectionCode1
Semi-Supervised Object Detection with Object-wise Contrastive Learning and Regression Uncertainty—0
Semi-supervised object detection based on single-stage detector for thighbone fracture localization—0
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving—0
Pseudo-Label Generation and Various Data Augmentation for Semi-Supervised Hyperspectral Object DetectionCode0
Consistent-Teacher: Towards Reducing Inconsistent Pseudo-targets in Semi-supervised Object DetectionCode2
Open-Set Semi-Supervised Object Detection—0
Exploiting Unlabeled Data with Vision and Language Models for Object DetectionCode1
Mind the Gap: Polishing Pseudo labels for Accurate Semi-supervised Object DetectionCode0
DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object DetectionCode1
Cycle Self-Training for Semi-Supervised Object Detection with Distribution Consistency Reweighting—0
Semi-supervised Object Detection via Virtual Category LearningCode1
Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object DetectionCode0
Improving Localization for Semi-Supervised Object DetectionCode0
Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based DetectorsCode1
Label Matching Semi-Supervised Object DetectionCode1
Point-Teaching: Weakly Semi-Supervised Object Detection with Point Annotations—0
Penalizing Proposals using Classifiers for Semi-Supervised Object Detection—0
Group R-CNN for Weakly Semi-supervised Object Detection with PointsCode1
Lesion Localization in OCT by Semi-Supervised Object Detection—0
Dense Learning based Semi-Supervised Object DetectionCode1
S4OD: Semi-Supervised learning for Single-Stage Object Detection—0
Omni-DETR: Omni-Supervised Object Detection with TransformersCode1
PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object DetectionCode1
SIOD: Single Instance Annotated Per Category Per Image for Object DetectionCode1
Scale-Equivalent Distillation for Semi-Supervised Object Detection—0
DetMatch: Two Teachers are Better Than One for Joint 2D and 3D Semi-Supervised Object DetectionCode1
PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems—0
CrossRectify: Leveraging Disagreement for Semi-supervised Object DetectionCode1
SparseDet: Improving Sparsely Annotated Object Detection with Pseudo-positive Mining—0
MUM: Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object DetectionCode1
Semi-Supervised Object Detection via Multi-Instance Alignment With Global Class Prototypes—0
Semi-supervised Object Detection via Virtual Category Learning—0
MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object DetectionCode1
CrossMatch: Improving Semi-Supervised Object Detection via Multi-Scale Consistency—0
Semi-Supervised Object Detection with Adaptive Class-Rebalancing Self-Training—0
SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving—0
Interactive Self-Training With Mean Teachers for Semi-Supervised Object Detection—0
Humble Teachers Teach Better Students for Semi-Supervised Object Detection—0
End-to-End Semi-Supervised Object Detection with Soft TeacherCode1
DETReg: Unsupervised Pretraining with Region Priors for Object DetectionCode1
Salvage of Supervision in Weakly Supervised Object Detection—0
SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency and Heterogeneous Perturbation—0
Rethinking Pseudo Labels for Semi-Supervised Object Detection—0
WSSOD: A New Pipeline for Weakly- and Semi-Supervised Object Detection—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MixPLmAP44.6—Unverified
2Semi-DETRmAP43.5—Unverified
3Consistent-TeachermAP40—Unverified
4ARSLmAP38.5—Unverified
5Efficient TeachermAP37.9—Unverified
6Revisiting Class ImbalancemAP37.4—Unverified
7Dense TeachermAP37.13—Unverified
8MixTeacher-FCOSmAP36.95—Unverified
9MixTeacher-FRCNNmAP36.72—Unverified
10PseComAP36.06—Unverified
#ModelMetricClaimedVerifiedStatus
1Semi-DETRmAP40.1—Unverified
2MixPLmAP40.1—Unverified
3ARSLmAP34.45—Unverified
4Efficient TeachermAP34.11—Unverified
5MixTeacher-FRCNNmAP34.06—Unverified
6MixTeacher-FCOSmAP33.42—Unverified
7Dense TeachermAP33.01—Unverified
8PseComAP32.5—Unverified
9Revisiting Class ImbalancemAP32.21—Unverified
10VCmAP32.05—Unverified
#ModelMetricClaimedVerifiedStatus
1MixPLmAP31.7—Unverified
2Consistent-TeachermAP25.5—Unverified
3ARSLmAP25.36—Unverified
4MixTeacher-FRCNNmAP25.16—Unverified
5VCmAP23.86—Unverified
6MixTeacher-FCOSmAP23.83—Unverified
7Efficient TeachermAP23.76—Unverified
8PseComAP22.43—Unverified
9MUMmAP21.88—Unverified
10SSOD with OCL and RUPLmAP21.63—Unverified
#ModelMetricClaimedVerifiedStatus
1MixPLmAP55.2—Unverified
2Semi-DETRmAP50.5—Unverified
3Consistent-TeachermAP48.2—Unverified
4Dense TeachermAP46.2—Unverified
5PseComAP46.1—Unverified
6Soft TeachermAP44.9—Unverified
7Revisiting Class ImbalancemAP44—Unverified
8RPLmAP43.3—Unverified
9Adaptive Class-RebalancingmAP42.79—Unverified
10MUMmAP42.11—Unverified
#ModelMetricClaimedVerifiedStatus
1MixPLmAP34.7—Unverified
2Consistent-TeachermAP30.7—Unverified
3MixTeacher-FRCNNmAP29.11—Unverified
4ARSLmAP29.08—Unverified
5Efficient TeachermAP28.7—Unverified
6MixTeacher-FCOSmAP27.88—Unverified
7PseComAP27.77—Unverified
8VCmAP27.7—Unverified
9ASTODmAP24.85—Unverified
10MUMmAP24.84—Unverified
#ModelMetricClaimedVerifiedStatus
1VCmAP19.46—Unverified
2MUMmAP18.54—Unverified
#ModelMetricClaimedVerifiedStatus
1Sparse Semi-DETR10%44.3—Unverified