Improving Localization for Semi-Supervised Object Detection
- 17 May 2022
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC
Abstract
No abstract availableKeywords
This publication has 14 references indexed in Scilit:
- Imbalance Problems in Object Detection: A ReviewIEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
- IoU-uniform R-CNN: Breaking through the limitations of RPNPattern Recognition, 2021
- Improving Object Detection with Selective Self-supervised Self-trainingPublished by Springer Science and Business Media LLC ,2020
- Bounding Box Regression With Uncertainty for Accurate Object DetectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2019
- Acquisition of Localization Confidence for Accurate Object DetectionPublished by Springer Science and Business Media LLC ,2018
- Improving Object Localization with Fitness NMS and Bounded IoU LossPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2018
- Focal Loss for Dense Object DetectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2017
- Feature Pyramid Networks for Object DetectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2017
- Deep Residual Learning for Image RecognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2016
- Microsoft COCO: Common Objects in ContextLecture Notes in Computer Science, 2014