Pinned Repositories
ACoL
(CVPR2018) Adversarial Complementary Learning for Weakly Supervised Object Localization
awesome-point-cloud-registration
A curated list of point cloud registration.
CSBook
curated-list-of-awesome-3D-Morphable-Model-software-and-data
The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.
Few-Shot-Semantic-Segmentation-Papers
Few Shot Semantic Segmentation Papers
I2C
(ECCV2020) Inter-Image Communication for Weakly Supervised Localization
SEM
SEM
SG-One
SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation
SPG
(ECCV2018) Self-produced Guidance for Weakly-supervised Object Localization
Weakly-Supervised-Object-Localization
Weakly Supervised Object Localization Papers
xiaomengyc's Repositories
xiaomengyc/Few-Shot-Semantic-Segmentation-Papers
Few Shot Semantic Segmentation Papers
xiaomengyc/Weakly-Supervised-Object-Localization
Weakly Supervised Object Localization Papers
xiaomengyc/ACoL
(CVPR2018) Adversarial Complementary Learning for Weakly Supervised Object Localization
xiaomengyc/SPG
(ECCV2018) Self-produced Guidance for Weakly-supervised Object Localization
xiaomengyc/SG-One
SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation
xiaomengyc/I2C
(ECCV2020) Inter-Image Communication for Weakly Supervised Localization
xiaomengyc/SEM
SEM
xiaomengyc/awesome-point-cloud-registration
A curated list of point cloud registration.
xiaomengyc/CSBook
xiaomengyc/curated-list-of-awesome-3D-Morphable-Model-software-and-data
The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.
xiaomengyc/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
xiaomengyc/PACT
Reproducing Quantization paper PACT
xiaomengyc/kunzhan
xiaomengyc/paper_reading
xiaomengyc/slam
learning SLAM,curse,paper and others
xiaomengyc/xiaomengyc