SunBoWei911

SunBoWei911's Stars

• MichaelBeechan/ThunderNet-Review

  Real-time generic object detection on mobile platforms is a crucial but challenging computer vision task. However, previous CNN-based detectors suffer from enormous computational cost, which hinders them from real-time inference in computation-constrained scenarios. In this paper, we investigate the effectiveness of two-stage detectors in real-time generic detection and propose a lightweight twostage detector named ThunderNet. In the backbone part, we analyze the drawbacks in previous lightweight backbones and present a lightweight backbone designed for object detection. In the detection part, we exploit an extremely efficient RPN and detection head design. To generate more discriminative feature representation, we design two efficient architecture blocks, Context Enhancement Module and Spatial Attention Module. At last, we investigate the balance between the input resolution, the backbone, and the detection head. Compared with lightweight one-stage detectors, ThunderNet achieves superior performance with only 40% of the computational cost on PASCAL VOC and COCO benchmarks. Without bells and whistles, our model runs at 24.1 fps on an ARM-based device. To the best of our knowledge, this is the first real-time detector reported on ARM platforms. Code will be released for paper reproduction.

  2611

• Duankaiwen/CenterNet

  Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .

  Language:Python1.9k382

• calmiLovesAI/YOLOv3_TensorFlow2

  基于TensorFlow2.x实现的YOLOv3，支持在自定义数据集上训练，支持保存为TFLite模型。A tensorflow2 implementation of YOLO_V3(Supports training on custom dataset and saving as tflite models.).

  Language:Python10326

• FurkanOM/tf-faster-rcnn

  Tensorflow 2 Faster-RCNN implementation from scratch supporting to the batch processing with MobileNetV2 and VGG16 backbones

  Language:Python9458

• mashangxue/tensorflow2-zh

  TensorFlow2.0 官方教程翻译，基本概念讲解、实战项目、TensorFlow2.0编程技巧。

  200531

• YunYang1994/TensorFlow2.0-Examples

  🙄 Difficult algorithm, Simple code.

  Language:Jupyter Notebook1.7k674

• ethanhe42/GAN-MNIST

  Generative Adversarial Network for MNIST with tensorflow

  Language:Python18470

• carpedm20/DCGAN-tensorflow

  A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

  Language:JavaScript7.2k2.6k

• ikhlestov/vision_networks

  Repo about neural networks for images handling

  Language:Python264122