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
Semi-Supervised Object Detection with Adaptive Class-Rebalancing Self-Training—0
WSSOD: A New Pipeline for Weakly- and Semi-Supervised Object Detection—0
Applying the Lower-Biased Teacher Model in Semi-Supervised Object Detection—0
A Semi-supervised Object Detection Algorithm for Underwater Imagery—0
A-Teacher: Asymmetric Network for 3D Semi-Supervised Object Detection—0
Boosting Semi-Supervised Object Detection in Remote Sensing Images With Active Teaching—0
Building Blocks for Robust and Effective Semi-Supervised Real-World Object Detection—0
Class-balanced Open-set Semi-supervised Object Detection for Medical Images—0
ClipGrader: Leveraging Vision-Language Models for Robust Label Quality Assessment in Object Detection—0
Co-Learning: Towards Semi-Supervised Object Detection with Road-side Cameras—0
Collaboration of Teachers for Semi-supervised Object Detection—0
Collaborative Feature-Logits Contrastive Learning for Open-Set Semi-Supervised Object Detection—0
Credible Teacher for Semi-Supervised Object Detection in Open Scene—0
CrossMatch: Improving Semi-Supervised Object Detection via Multi-Scale Consistency—0
Cycle Self-Training for Semi-Supervised Object Detection with Distribution Consistency Reweighting—0
Data-Uncertainty Guided Multi-Phase Learning for Semi-Supervised Object Detection—0
Detection of Thermal Events by Semi-Supervised Learning for Tokamak First Wall Safety—0
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving—0
Humble Teachers Teach Better Students for Semi-Supervised Object Detection—0
IMWA: Iterative Model Weight Averaging Benefits Class-Imbalanced Learning Tasks—0
Interactive Self-Training With Mean Teachers for Semi-Supervised Object Detection—0
Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer—0
Lesion Localization in OCT by Semi-Supervised Object Detection—0
Low-Confidence Samples Mining for Semi-supervised Object Detection—0
MOST: Multiple Object localization with Self-supervised Transformers for object discovery—0
Multiview Aerial Visual Recognition (MAVREC): Can Multi-view Improve Aerial Visual Perception?—0
NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection—0
Online Open-set Semi-supervised Object Detection with Dual Competing Head—0
Open-Set Semi-Supervised Object Detection—0
Penalizing Proposals using Classifiers for Semi-Supervised Object Detection—0
Point-Teaching: Weakly Semi-Supervised Object Detection with Point Annotations—0
Proposal Learning for Semi-Supervised Object Detection—0
Pseudo-label Correction and Learning For Semi-Supervised Object Detection—0
Pseudo-Labeling Enhanced by Privileged Information and Its Application to In Situ Sequencing Images—0
PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems—0
Rethinking Pseudo-labeled Sample Mining for Semi-Supervised Object Detection—0
Rethinking Pseudo Labels for Semi-Supervised Object Detection—0
Rethinking Scale Imbalance in Semi-supervised Object Detection for Aerial Images—0
Revisiting Class Imbalance for End-to-end Semi-Supervised Object Detection—0
S4OD: Semi-Supervised learning for Single-Stage Object Detection—0
Salvage of Supervision in Weakly Supervised Object Detection—0
Semi-Supervised Object Detection with Object-wise Contrastive Learning and Regression Uncertainty—0
Semi-Supervised Weed Detection in Vegetable Fields: In-domain and Cross-domain Experiments—0
SeMoLi: What Moves Together Belongs Together—0
Aligned Unsupervised Pretraining of Object Detectors with Self-training—0
SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving—0
SparseDet: Improving Sparsely Annotated Object Detection with Pseudo-positive Mining—0
Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection—0
SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency and Heterogeneous Perturbation—0
Training-based Model Refinement and Representation Disagreement 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
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