ZHANGKEON

ZHANGKEON's Stars

• google-research/vision_transformer

  Language:Jupyter Notebook10.1k1.3k

• taki0112/vit-tensorflow

  Vision Transformer Cookbook with Tensorflow

  Language:Python29746

• ZHANGKEON/DIS-YOLO

  Language:Python178

• leafinity/SAGAN-tensorflow2.0

  Tensorflow-2.0 implementation of "Self-Attention Generative Adversarial Networks"

  Language:Python2812

• heykeetae/Self-Attention-GAN

  Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

  Language:Python2.5k470

• taki0112/Self-Attention-GAN-Tensorflow

  Simple Tensorflow implementation of "Self-Attention Generative Adversarial Networks" (SAGAN)

  Language:Python550151

• leaderj1001/BottleneckTransformers

  Bottleneck Transformers for Visual Recognition

  Language:Python27451

• lilianweng/transformer-tensorflow

  Implementation of Transformer Model in Tensorflow

  Language:Python44285

• xuanzebi/Attention

  一些不同的Attention机制代码

  Language:Python204

• Kyubyong/transformer

  A TensorFlow Implementation of the Transformer: Attention Is All You Need

  Language:Python4.2k1.3k

• ilivans/tf-rnn-attention

  Tensorflow implementation of attention mechanism for text classification tasks.

  Language:Python748290

• bojone/attention

  some attention implements

  Language:Python1.4k511

• 1044197988/Python-Image-feature-extraction

  Python实现提取图像的纹理、颜色特征，包含快速灰度共现矩阵（GLCM）、LBP特征、颜色矩、颜色直方图。

  Language:Python39192

• LinghuiXia/GLCM

  本实验的主要目的是基于遥感图像计算灰度共生矩阵，并基于该矩阵计算多种纹理特征。所有的计算结果已与ENVI结果进行对比，实验结果一致。

  Language:Python12628

• OnionDoctor/FCN_for_crack_recognition

  An application FCN for crack recogntion using tensorflow

  Language:Python4619

• Cli98/DMNet

  Official implementation for DMNet: Density map guided object detection in aerial image (CVPR 2020 EarthVision workshop)

  Language:Python9314

• mhyr/blader

  Semi Automatic Data Labeling for Deep Learning Applications: A Case Study on Wind Turbine Blade Segmentation

  Language:Python21

• pui-nantheera/DefectNet

  Language:Python71

• klauspa/Yolov4-tensorflow

  tensorflow implementation for Yolo v4

  Language:Python6023

• tanluren/yolov3-channel-and-layer-pruning

  yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝，通道剪枝，知识蒸馏

  Language:Python1.5k446

• Shaggyshak/CS543_project_Image-based-Localization-of-Bridge-Defects-with-AR-Visualization

  Visual inspection of bridges is customarily used to identify and evaluate faults. However, current procedures followed by human inspectors demand long inspection times to examine large and difficult to access bridges. To address these limitations, we investigate a computer vision‐based approach that employs SIFT keypoint matching on collected images of defects against a pre-existing reconstructed 3D point cloud of the bridge. We also investigate methods of reducing computation time with ML-based and conventional CV methods of segmentation to eliminate redundant keypoints. Our project successfully localizes the defect images and achieves a savings in runtime from filtering keypoints.

  Language:Jupyter Notebook2112

• kanishk307/crack-detection-beproject

  A python-based crack detection and classification system using deep learning; used YOLO object detection algorithm. To extract the features of cracks we used Computer Vision and developed a desktop tool using Kivy to display the outcomes.

  Language:Python187

• viraja1/crack_detection

  Concrete Crack Detection for Structural Audit

  Language:Python2914

• donrax/industrial-surface-inspection-datasets

  Datasets for industrial surface-inspection

  6812

• Thinklab-SJTU/CSL_RetinaNet_Tensorflow

  Code for ECCV 2020 paper: Arbitrary-Oriented Object Detection with Circular Smooth Label

  Language:Python19032

• DetectionTeamUCAS/RetinaNet_Tensorflow_Rotation

  Focal Loss for Dense Rotation Object Detection

  Language:Python31293

• ameroyer/ODGI

  Object Detection with Grouped Instances, WACV 2020

  Language:Jupyter Notebook52

• ultralytics/yolov5

  YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  Language:Python49.6k16.1k

• adions025/Object_Detection_Yolov3

  Object detection using Yolo v3 to detect damage on wind turbine blade in RT. Computer Vision project using a drone with a go pro camera.

  Language:Python11

• adions025/Damage_Detection_MaskRCNN

  This repository focuses on the automation of blade inspection, using different Computer Vision (CV) approaches and methods to detect damage on the wind turbine blades.

  Language:Python316