QueryInst: Parallelly Supervised Mask Query for Instance Segmentation (https://arxiv.org/abs/2105.01928)
Real-Time and Accurate Object Detection in Compressed Video by Long Short-term Feature Aggregation
PyTorch codes for our paper "PCL: Proposal Cluster Learning for Weakly Supervised Object Detection".
Boundary-preserving Mask R-CNN (ECCV 2020)
Fast Neural Network Adaptation via Parameter Remapping and Architecture Search
Mancs: A multi-task attentional network with curriculum sampling for person re-identification
Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation
Densely Connected Search Space for More Flexible Neural Architecture Search
Codes for paper "Mask Scoring R-CNN".
EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale Neural Architecture Search
Weakly Supervised Mitosis Detection in Breast Histopathology Images using Concentric Loss
Xinggang Wang, Bin Feng, Xiang Bai, Wenyu Liu, and Longin Jan Latecki. Bag of Contour Fragments for Robust Shape Classification. Pattern Recognition, Volume 47, Issue 6, June 2014, Pages 2116-2125.
Xinggang Wang, Baoyuan Wang, Xiang Bai, Wenyu Liu, and Zhuowen Tu, Max-Margin Multiple Instance Dictionary Learning, International Conference on Machine Learning (ICML), Atlanta, June, 2013.
PyTorch Implementations for DeeplabV3 and PSPNet
CCNet: Criss-Cross Attention for Semantic Segmentation
Codes for our paper "Multiple Instance Detection Network with Online Instance Classifier Refinement" and "PCL: Proposal Cluster Learning for Weakly Supervised Object Detection".
Codes for our MIA paper "DeepMitosis: Mitosis detection via deep detection, verification and segmentation networks".
Semantic Image Segmentation by Scale-Adaptive Networks
Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR2018)
Codes for our paper "Deep Patch Learning for Weakly Supervised Object Classification and Discovery".
Codes for our paper "Revisiting Multiple Instance Neural Networks".