Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)

Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018

Vue 3 component for detecting network connectivity changes with offline/online events.

A simple Spatial Pyramid Pooling layer which could be added in CNN

list the paper for recently anchor free detector

内网探测工具(Internal network detection tool that not contain any exploit code)

A 2-CNN pipeline to do both detection (using bounding box regression) and classification of numbers on SVHN dataset.

YOLOv2 Implementation in TF/Keras. Allowing to experiment on different feature detectors (MobileNet, Darknet-19). Paper: https://arxiv.org/abs/1612.08242

ssdetection is a general framework for our research on strongly supervised object detection.

Open solution to the Google AI Object Detection Challenge :maple_leaf:

Scaling Object Detection by Transferring Classification Weights

Single Shot MultiBox Detector implemented with TensorFlow

这是利用qt的tcp通信例程，包括了QTcpServer和QTcpSocket的使用，心跳检测网络状态

Optic disc detection in a retina image using a fully connected convolutional neural network.

A paper list of Weakly Supervised Object Detection (WSOD) resources.

SeismoCloud is a warning system for earthquakes (Earthquake Early Warning -- EEW) based on a low cost sismometers' network.

A Soccer Ball Detector using Fully Convolutional Neural Networks and ConvLSTM

解读比较经典的网络结构以及设计思想

Research Paper Published at ICON 2019, indexed in ACL Anthology by Tanik Saikh, Arkadipta De, Asif Ekbal, Pushpak Bhattacharyya

Integrated Learning Framework for Pedestrian Tracking

Overrepresentation analysis for KEGG and PID pathways using community detection

"This repository focuses on implementing data link layer error detection codes. Providarious error detection techniques used in data communices methods for vations at the data link layer."

Execution code examples for Mut1ny's deep neural network models (https://store.mut1ny.com)

A simple react component that detect online and offline changes

Memoria del Trabajo Fin de Grado (TFG) "Deep Learning para clasificación y detección de personas", en la que se explican los pasos seguidos para la elaboración de una Red Neuronal Convolucional para Clasificación de personas y otra para Detección. Realizado con la ayuda de la librería TensorFlow en el lenguaje de programación Python

GSN Politechnika Warszawska Praca Dyplomowa

Detect Server via UDP Broadcasting

tool to check for tor running on the network

detection network based on convolutional neural network

Vatic for detectNet annotation