Pinned Repositories
AdelaiDet_DA
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
augmented-reality
Augment image on a selected area
BYOL
Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
byol-pytorch
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
CADLab
Imaging Biomarkers and Computer-Aided Diagnosis Laboratory
CR-DA-DET
The official PyTorch implementation of paper Exploring Categorical Regularization for Domain Adaptive Object Detection (CR-DA-DET)
few-shot-object-detection
Implementations of few-shot object detection benchmarks
MPSR
Multi-scale Positive Sample Refinement for Few-shot Object Detection, ECCV2020
MVP-Net
An implementation of MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection.
ode
manusheoran's Repositories
manusheoran/augmented-reality
Augment image on a selected area
manusheoran/unbiased-teacher
PyTorch code for ICLR 2021 paper Unbiased Teacher for Semi-Supervised Object Detection
manusheoran/UaDAN
Code for <Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection> in IEEE TMM 2021
manusheoran/CR-DA-DET
The official PyTorch implementation of paper Exploring Categorical Regularization for Domain Adaptive Object Detection (CR-DA-DET)
manusheoran/CADLab
Imaging Biomarkers and Computer-Aided Diagnosis Laboratory
manusheoran/AdelaiDet_DA
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
manusheoran/byol-pytorch
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
manusheoran/BYOL
Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
manusheoran/few-shot-object-detection
Implementations of few-shot object detection benchmarks
manusheoran/MPSR
Multi-scale Positive Sample Refinement for Few-shot Object Detection, ECCV2020
manusheoran/ode
manusheoran/MVP-Net
An implementation of MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection.