ECAENet (TensorFlow and Keras)

Last update: Dec 22, 2022

Related tags

Deep Learning ECAENet

Overview

ECAENet (TensorFlow and Keras)

ECAENet: EfficientNet with Efficient Channel Attention for Plant Species Recognition

(SCI:Q3) (Journal of Intelligent & Fuzzy Systems)

Results

ECAENet Architecture

Requirements

pip install pillow

pip install matplotlib

pip install scikit-learn

pip install tensorflow-addons

pip install tensorflow-gpu

conda install cudnn

Start Up

You can run the train.py to train or evaluate as follow:

python train.py 
python train.py --epoch 100 --lr 5e-5 --data flower --af swish --at eca --batch_size 32 --img_size 224

Contact Information

If you have any suggestion or question, you can leave a message here or contact us directly: [email protected]. Thanks for your attention!

Owner

Interested in Computer Vision and Deep Learning.

GitHub Repository

Reimplementation of the paper `Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words? (ACL2020)`

Human Attention for Text Classification Re-implementation of the paper Human Attention Maps for Text Classification: Do Humans and Neural Networks Foc

15 Dec 13, 2021

ROS support for Velodyne 3D LIDARs

Overview Velodyne1 is a collection of ROS2 packages supporting Velodyne high definition 3D LIDARs3. Warning: The master branch normally contains code

543 Dec 30, 2022

A crossplatform menu bar application using mpv as DLNA Media Renderer.

Macast Chinese README A menu bar application using mpv as DLNA Media Renderer. Install MacOS || Windows || Debian Download link: Macast release latest

4.4k Jan 01, 2023

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

ICNet_tensorflow This repo provides a TensorFlow-based implementation of paper "ICNet for Real-Time Semantic Segmentation on High-Resolution Images,"

406 Nov 27, 2022

Source code for deep symbolic optimization.

Update July 10, 2021: This repository now supports an additional symbolic optimization task: learning symbolic policies for reinforcement learning. Th

290 Dec 25, 2022

Using Streamlit to host a multi-page tool with model specs and classification metrics, while also accepting user input values for prediction.

Predicitng_viability Using Streamlit to host a multi-page tool with model specs and classification metrics, while also accepting user input values for

1 Nov 08, 2021

(CVPR 2022 - oral) Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry

Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry Official implementation of the paper Multi-View Depth Est

138 Dec 28, 2022

HHP-Net: A light Heteroscedastic neural network for Head Pose estimation with uncertainty

HHP-Net: A light Heteroscedastic neural network for Head Pose estimation with uncertainty Giorgio Cantarini, Francesca Odone, Nicoletta Noceti, Federi

18 Aug 02, 2022

Pure python implementation reverse-mode automatic differentiation

MiniGrad A minimal implementation of reverse-mode automatic differentiation (a.k.a. autograd / backpropagation) in pure Python. Inspired by Andrej Kar

76 Sep 12, 2022

The Official Implementation of Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose [NIPS 2021].

Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose Release Notes The offical PyTorch implementation of Neural View Sy

20 Oct 09, 2022

Collision risk estimation using stochastic motion models

collision_risk_estimation Collision risk estimation using stochastic motion models. This is a new approach, based on stochastic models, to predict the

7 Jun 26, 2022

The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"

201 Nov 21, 2022

Autoregressive Models in PyTorch.

Autoregressive This repository contains all the necessary PyTorch code, tailored to my presentation, to train and generate data from WaveNet-like auto

41 Oct 09, 2022

A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation

Aboleth A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation [1] with stochastic gradient variational Bayes

127 Dec 12, 2022

Step by Step on how to create an vision recognition model using LOBE.ai, export the model and run the model in an Azure Function

3 Mar 30, 2022

ECAENet (TensorFlow and Keras)

Related tags

Overview

ECAENet (TensorFlow and Keras)

Results

ECAENet Architecture

Requirements

Start Up

Contact Information

Owner

Reimplementation of the paper `Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words? (ACL2020)`

ROS support for Velodyne 3D LIDARs

A crossplatform menu bar application using mpv as DLNA Media Renderer.

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

Source code for deep symbolic optimization.

Using Streamlit to host a multi-page tool with model specs and classification metrics, while also accepting user input values for prediction.

(CVPR 2022 - oral) Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry

HHP-Net: A light Heteroscedastic neural network for Head Pose estimation with uncertainty

Pure python implementation reverse-mode automatic differentiation

The Official Implementation of Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose [NIPS 2021].

Collision risk estimation using stochastic motion models

The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"

Autoregressive Models in PyTorch.

A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation

Step by Step on how to create an vision recognition model using LOBE.ai, export the model and run the model in an Azure Function

A TensorFlow implementation of DeepMind's WaveNet paper

It's a implement of this paper：Relation extraction via Multi-Level attention CNNs

THIS IS THE OLD PYMC PROJECT. PLEASE USE PYMC3 INSTEAD:

Learning to Simulate Dynamic Environments with GameGAN (CVPR 2020)

This is the source code for our ICLR2021 paper: Adaptive Universal Generalized PageRank Graph Neural Network.

ECAENet (TensorFlow and Keras)

Related tags

Overview

ECAENet (TensorFlow and Keras)

Results

ECAENet Architecture

Requirements

Start Up

Contact Information

Owner

Reimplementation of the paper `Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words? (ACL2020)`

ROS support for Velodyne 3D LIDARs

A crossplatform menu bar application using mpv as DLNA Media Renderer.

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

Source code for deep symbolic optimization.

Using Streamlit to host a multi-page tool with model specs and classification metrics, while also accepting user input values for prediction.

(CVPR 2022 - oral) Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry

HHP-Net: A light Heteroscedastic neural network for Head Pose estimation with uncertainty

Pure python implementation reverse-mode automatic differentiation

The Official Implementation of Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose [NIPS 2021].

Collision risk estimation using stochastic motion models

The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"

Autoregressive Models in PyTorch.

A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation

Step by Step on how to create an vision recognition model using LOBE.ai, export the model and run the model in an Azure Function

A TensorFlow implementation of DeepMind's WaveNet paper

It's a implement of this paper：Relation extraction via Multi-Level attention CNNs

THIS IS THE **OLD** PYMC PROJECT. PLEASE USE PYMC3 INSTEAD:

Learning to Simulate Dynamic Environments with GameGAN (CVPR 2020)

This is the source code for our ICLR2021 paper: Adaptive Universal Generalized PageRank Graph Neural Network.

THIS IS THE OLD PYMC PROJECT. PLEASE USE PYMC3 INSTEAD: