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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 115 papers

TitleStatusHype
Collaboration of Teachers for Semi-supervised Object Detection—0
IMWA: Iterative Model Weight Averaging Benefits Class-Imbalanced Learning Tasks—0
Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection—0
Gradient-based Sampling for Class Imbalanced Semi-supervised Object DetectionCode0
Boosting Semi-Supervised Object Detection in Remote Sensing Images With Active Teaching—0
SeMoLi: What Moves Together Belongs Together—0
Detection of Thermal Events by Semi-Supervised Learning for Tokamak First Wall Safety—0
Credible Teacher for Semi-Supervised Object Detection in Open Scene—0
A-Teacher: Asymmetric Network for 3D Semi-Supervised Object Detection—0
Multiview Aerial Visual Recognition (MAVREC): Can Multi-view Improve Aerial Visual Perception?—0
Weakly-semi-supervised object detection in remotely sensed imagery—0
Density-Guided Dense Pseudo Label Selection For Semi-supervised Oriented Object DetectionCode0
Towards Few-Annotation Learning for Object Detection: Are Transformer-based Models More Efficient ?Code0
Rethinking Scale Imbalance in Semi-supervised Object Detection for Aerial Images—0
ALWOD: Active Learning for Weakly-Supervised Object DetectionCode0
Generalized Open-World Semi-Supervised Object Detection—0
Aligned Unsupervised Pretraining of Object Detectors with Self-training—0
Training-based Model Refinement and Representation Disagreement for Semi-Supervised Object Detection—0
Pseudo-Labeling Enhanced by Privileged Information and Its Application to In Situ Sequencing Images—0
Low-Confidence Samples Mining for Semi-supervised Object Detection—0
Semi-supervised Object Detection: A Survey on Recent Research and Progress—0
A Semi-supervised Object Detection Algorithm for Underwater Imagery—0
Revisiting Class Imbalance for End-to-end Semi-Supervised Object Detection—0
Online Open-set Semi-supervised Object Detection with Dual Competing Head—0
Semi-Supervised Object Detection for Sorghum Panicles in UAV Imagery—0
MOST: Multiple Object localization with Self-supervised Transformers for object discovery—0
Ambiguity-Resistant Semi-Supervised Learning for Dense Object DetectionCode0
Pseudo-label Correction and Learning For Semi-Supervised Object Detection—0
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
Open-Set Semi-Supervised Object Detection—0
Mind the Gap: Polishing Pseudo labels for Accurate Semi-supervised Object DetectionCode0
Cycle Self-Training for Semi-Supervised Object Detection with Distribution Consistency Reweighting—0
Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object DetectionCode0
Improving Localization for Semi-Supervised Object DetectionCode0
Point-Teaching: Weakly Semi-Supervised Object Detection with Point Annotations—0
Penalizing Proposals using Classifiers for Semi-Supervised Object Detection—0
Lesion Localization in OCT by Semi-Supervised Object Detection—0
S4OD: Semi-Supervised learning for Single-Stage Object Detection—0
Scale-Equivalent Distillation for Semi-Supervised Object Detection—0
PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems—0
SparseDet: Improving Sparsely Annotated Object Detection with Pseudo-positive Mining—0
Semi-Supervised Object Detection via Multi-Instance Alignment With Global Class Prototypes—0
Semi-supervised Object Detection via Virtual Category Learning—0
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
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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
1MixPLmAP40.1—Unverified
2Semi-DETRmAP40.1—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