Semi-Supervised Object Detection

23 papers with code • 6 benchmarks • 1 datasets

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Libraries

Use these libraries to find Semi-Supervised Object Detection models and implementations

Most implemented papers

A Simple Semi-Supervised Learning Framework for Object Detection

google-research/ssl_detection 10 May 2020

Semi-supervised learning (SSL) has a potential to improve the predictive performance of machine learning models using unlabeled data.

End-to-End Semi-Supervised Object Detection with Soft Teacher

microsoft/SoftTeacher ICCV 2021

This paper presents an end-to-end semi-supervised object detection approach, in contrast to previous more complex multi-stage methods.

Unbiased Teacher for Semi-Supervised Object Detection

facebookresearch/unbiased-teacher ICLR 2021

To address this, we introduce Unbiased Teacher, a simple yet effective approach that jointly trains a student and a gradually progressing teacher in a mutually-beneficial manner.

Label Matching Semi-Supervised Object Detection

hikvision-research/SSOD CVPR 2022

To remedy this issue, we present a novel label assignment mechanism for self-training framework, namely proposal self-assignment, which injects the proposals from student into teacher and generates accurate pseudo labels to match each proposal in the student model accordingly.

Consistency-based Semi-supervised Learning for Object detection

soo89/CSD-RFCN NeurIPS 2019

Making a precise annotation in a large dataset is crucial to the performance of object detection.

Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection

SYangDong/tse-t 13 Jul 2020

(1) The teacher model serves a dual role as a teacher and a student, such that the teacher predictions on unlabeled images may be very close to those of student, which limits the upper-bound of the student.

Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework

hattrickcr7/SoftTeacher CVPR 2021

To alleviate the confirmation bias problem and improve the quality of pseudo annotations, we further propose a co-rectify scheme based on Instant-Teaching, denoted as Instant-Teaching$^*$.

DETReg: Unsupervised Pretraining with Region Priors for Object Detection

amirbar/detreg CVPR 2022

Recent self-supervised pretraining methods for object detection largely focus on pretraining the backbone of the object detector, neglecting key parts of detection architecture.

MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection

jongmokkim/mix-unmix 22 Nov 2021

Data augmentation strategy plays a significant role in the SSL framework since it is hard to create a weak-strong augmented input pair without losing label information.

MUM: Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection

jongmokkim/mix-unmix CVPR 2022

Data augmentation strategy plays a significant role in the SSL framework since it is hard to create a weak-strong augmented input pair without losing label information.