180 Open source projects that are alternatives of or similar to Object-Detection-Knowledge-Distillation

Single Shot MultiBox Detector in PyTorch [deprecated]

Training Toolbox for Caffe

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

Table Detection and Extraction Using Deep Learning ( It is built in Python, using Luminoth, TensorFlow<2.0 and Sonnet.)

pytorch version of SSD and it's enhanced methods such as RFBSSD,FSSD and RefineDet

Video Platform for Action Recognition and Object Detection in Pytorch

Fast key-value DB in Go.

Knowledge Distillation using Tensorflow

Drive Activity Indicator

A Keras port of Single Shot MultiBox Detector

The linux kernel source repository for Open-Channel SSDs

redis 3.2.8 的源码注释

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow

This is a highly separated deployment project based on Deepstream , including the full range of Yolo and continuously expanding deployment projects such as Ocr.

Simple NVME/SAS/SATA SSD test framework for Linux and Windows

Caffe implementation of FAIR paper "Focal Loss for Dense Object Detection" for SSD.

把极速检测器的门槛给我打下来make lightweight caffe-ssd great again

No description or website provided.

MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.

简明 SSD 目标检测模型 keras version（交通标志识别 训练部分见 dev 分支）

计算机视觉相关论文整理、记录、分享; 包括图像分类、目标检测、视觉跟踪/目标跟踪、人脸识别/人脸验证、OCR/场景文本检测及识别等领域。欢迎加星,欢迎指正错误,同时也期待能够共同参与！！! 持续更新中... ...

OpenMMLab Detection Toolbox and Benchmark

Repository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.

support different SSDs and different scale test, support refineDet.

Windows, macOS and Android storage (HDD, SSD, RAM) speed testing/performance benchmarking app

A PyTorch Implementation of Single Shot MultiBox Detector

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

v2ray\trojan\ss\ssr\ssd订阅转换Clash规则配置，自动更新ACL4SSR路由规则

[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

MobileNetV3-SSD for object detection and implementation in PyTorch

Switch the rootfs to a NVMe SSD on the Jetson Xavier NX and Jetson AGX Xavier

基于PaddlePaddle实现的SSD，包括MobileNetSSD，MobileNetV2SSD，VGGSSD，ResNetSSD

Cross platform utilities useful for performing various operations on SATA, SAS, NVMe, and USB storage devices.

Build userspace NVMe drivers and storage applications with CUDA support

Simpler app for tensorflow object detection API

Active learning for deep object detection using YOLO

Multiple basenet MobileNet v1,v2, ResNet combined with SSD detection method and it's variants such as RFB, FSSD etc.

A python program to detect and classify hand pose using deep learning techniques

High quality, fast, modular reference implementation of SSD in PyTorch

No description or website provided.

A PyTorch Implementation of Knowledge Distillation on SSD

Creating a software for automatic monitoring in online proctoring

Automatically unburden $HOME from caches, etc. Useful for $HOME on SSDs, small disks or slow NFS homes. Can be triggered via an hook in /etc/X11/Xsession.d/.

PyTorch implementation of several SSD based object detection algorithms.

Trainable models and NN optimization tools

A simple open-source disk benchmark tool for Linux distros

A mobilenet SSD based face detector, powered by tensorflow object detection api, trained by WIDERFACE dataset.

All the great tools we have for the field.

SirixDB is a temporal, evolutionary database system, which uses an accumulate only approach. It keeps the full history of each resource. Every commit stores a space-efficient snapshot through structural sharing. It is log-structured and never overwrites data. SirixDB uses a novel page-level versioning approach called sliding snapshot.

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

Implementation of Single Shot MultiBox Detector in TensorFlow, to detect and classify traffic signs

Repulsion Loss: Detecting Pedestrians in a Crowd. https://arxiv.org/abs/1711.07752

Compare FasterRCNN,Yolo,SSD model with the same dataset

A tensorflow_2.0 implementation of SSD (Single Shot MultiBox Detector) .

Authors official PyTorch implementation of the "DnS: Distill-and-Select for Efficient and Accurate Video Indexing and Retrieval" [IJCV 2022]

MobileNetV3 SSD的简洁版本

FlashX is a collection of big data analytics tools that perform data analytics in the form of graphs and matrices.

An iOS application of Tensorflow Object Detection with different models: SSD with Mobilenet, SSD with InceptionV2, Faster-RCNN-resnet101