PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.
code and trained models for "Attentional Feature Fusion"
detector for rotated-objections based on CenterNet/基于CenterNet的旋转目标检测
Python bindings to the pointcloud library (pcl)
COCO API - Dataset @ http://cocodataset.org/
[CVPR 2020 Oral] Interpretable and Accurate Fine-grained Recognition via Region Grouping
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
1st place models in Google OpenImage Detection Challenge 2019
pytorch implementation of Fine-grained Recognition: Accounting for Subtle Differences between Similar Classes
PyTorch implementation for semantic segmentation (DeepLabV3+, UNet, etc.)
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"
AtLoc: Attention Guided Camera Localization
PyTorch code for our BMVC 2019 paper "Image Classification with Hierarchical Multigraph Networks"
This is a PyTorch implementation of the ECCV2018 paper "Learning to Navigate for Fine-grained Classification" (Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang).
PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).
This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition
Faster-RCNN in Tensorflow
Chromosome image segmentation using Keras