freedom55667788 Goto Github PK

activefire

Active fire detection and segmentation with CNN

cbam.pytorch

Non-official implement of Paper：CBAM: Convolutional Block Attention Module

coordattention

Code for our CVPR2021 paper coordinate attention

cv-backbones

[CVPR2020] GhostNet: More Features from Cheap Operations

defect

dhsgan

Official tensorflow implementation of "DHSGAN: An End to End Dehazing Network for Fog and Smoke"

dla

Code for the CVPR Paper "Deep Layer Aggregation"

ffa-net

FFA-Net: Feature Fusion Attention Network for Single Image Dehazing

fire-detection-cnn

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

fire-detection-image-dataset

This dataset contains normal images and images with fire. It is highly unbalanced to reciprocate real world situations. It consists of a variety of scenarios and different fire situations (intensity, luminosity, size, environment etc).

fire_detect_mobilenet_v2_ssdlite_keras

A keras version of real-time fire detection network: mobilenet_v2_ssdlite.

firenet-lightweight-network-for-fire-detection

fpn

Feature Pyramid Networks for Object Detection

ghostnet_cifar10

ghostnet_cifar10

github-slideshow

A robot powered training repository :robot:

hello-world

just another repository

lite-hrnet

This is an official pytorch implementation of Lite-HRNet: A Lightweight High-Resolution Network.

mobilenetv2-pytorch

Impementation of MobileNetV2 in pytorch

mobilenetv2.pytorch

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

mobilenetv3-pytorch

Implementation of MobileNetV3 in pytorch

models

Models and examples built with TensorFlow

mutualnet

[ECCV'20 Oral] MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution

senet.pytorch

PyTorch implementation of SENet

stcnet

STCNet: Spatio-Temporal Cross Network for Industrial Smoke Detection

torchseg

Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.