Embedded Files
1) Dataset:
2) Papers:
Paper List:
Weakly Semi-Supervised Object Detection:
Points as Queries: Weakly Semi-supervised Object Detection by Points [Paper] [Personal Summary]
Reading List:
Semi-Supervised Object Detection:
Consistency-based semi-supervised learning for object detection.
Semi-supervised object detection with unlabeled data.
A simple semi-supervised learning framework for object detection_arXiv_2005
Proposal learning for semi-supervised object detection.
Towards human-machine cooperation: Selfsupervised sample mining for object detection.
*/ Unbiased Teacher for Semi-Supervised Object Detection_ICLR_2021
*/ Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection
*/ DEEP SEMI-SUPERVISED ANOMALY DETECTION_ICLR_2020
Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning [Paper]
Self-Supervised Learning with Swin Transformers [Paper]
Weakly Supervised Object Localization:
Detection
Weakly supervised deep detection networks_CVPR_2016
Deep self-taught learning for weakly supervised object localization.
Weakly supervised object localization using things and stuff transfer.
Soft proposal networks for weakly supervised object localization_ICCV_2017
*/ Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation_CVPR_2018
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection_CVPR_2020
WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation_CVPR_2017
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection_2018
Multiple Instance Detection Network with Online Instance Classifier Refinement_CVPR_2017
Towards Precise End-to-end Weakly Supervised Object Detection Network_ICCV_2019
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization_2016
Object Instance Mining for Weakly Supervised Object Detection_2020
Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection_NIPS_2020
C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection_CVPR_2019
Leveraging Orientation for Weakly Supervised Object Detection with Application to Firearm Localization_2019
Min-Entropy Latent Model for Weakly Supervised Object Detection_CVPR_2018
Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer_ECCV_2020
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning [Link]
End-to-End Semi-Supervised Object Detection with Soft Teacher [Paper]
Segmentation
Transformer-based
[TRT] H. Su, Y. Ye, Z. Chen, M. Song, and L. Cheng, "Re-Attention Transformer for Weakly Supervised Object Localization", arXiv preprint arXiv:2208.01838, 2022. [Fast-Read]
Weakly Semi-Supervised Object Detection:
Weakly- and semi-supervised object detection with expectation-maximization algorithm
Self-Training (made considerable progress in semi-supervised learning):
Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks_ICLM_2013
Self-training with noisy student improves imagenet classification_CVPR_2020
A simple semi-supervised learning framework for object detection_arXiv_2005
Rethinking Pre-training and Self-training_NIPS_2021
Unfilter:
Knowledge distillation: A good teacher is patient and consistent [Paper]
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