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Starred repositories
A Clone version from Original SegCaps source code with enhancements on MS COCO dataset.
Official Implementation of the Paper "Capsules for Object Segmentation".
一些关于目标检测的脚本的改进思路代码，详细请看readme.md
🎆 Visualizing Capsule Neural Network layers to understand pose embeddings
Official implementation of the Fast Capsule Network
Super Resolution using Capsule Network and Capsnet with Adversarial Loss
PyTorch implementation of a matrix capsule network with residual blocks as head for successful training on more complex data (STL-10).
AlexeyAB / darknet
Forked from pjreddie/darknetYOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Code for the paper "Change Detection in SAR Images Based on Multiscale Capsule Network" IEEE GRSL 2021
PyTorch implementation of "Efficient-CapsNet: Capsule Network with Self-Attention Routing" (Mazzia et al., 2021).
Official TensorFlow code for the paper "Efficient-CapsNet: Capsule Network with Self-Attention Routing".
Yarn-dyed Fabric Image Dataset Version1. From Zhang Hongwei, Artificial Intelligence Research Group, Xi 'an Polytechnic University.
A PyTorch Implementation of Single Shot MultiBox Detector
A curated list of awesome resources related to capsule networks
Weakly Supervised Object Localization with Progressive Domain Adaptation (CVPR 2016)
PyTorch implementation of "Soft Proposal Networks for Weakly Supervised Object Localization", ICCV 2017.
RON: Reverse Connection with Objectness Prior Networks for Object Detection, CVPR 2017
ContextLocNet: Context-aware Deep Network Models for Weakly Supervised Localization (ECCV 2016)
LocNet: Improving Localization Accuracy for Object Detection
OpenMMLab Detection Toolbox and Benchmark
Active object localization ( bounding boxes ) using deep reinforcement learning.
A faster pytorch implementation of faster r-cnn
IoU-aware single-stage object detector for accurate localization
Attention-based Dropout Layer for Weakly Supervised Object Localization (CVPR 2019 Oral)
The official code for our TIP paper 'LayerCAM: Exploring Hierarchical Class Activation Maps for Localization'