ECAENet (TensorFlow and Keras)

Last update: Dec 22, 2022

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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

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Owner

Interested in Computer Vision and Deep Learning.

GitHub Repository

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Code for "Localization with Sampling-Argmax", NeurIPS 2021

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ECAENet (TensorFlow and Keras)

Related tags

Overview

ECAENet (TensorFlow and Keras)

Results

ECAENet Architecture

Requirements

Start Up

Contact Information

Owner

An implementation of the "Attention is all you need" paper without extra bells and whistles, or difficult syntax

Code accompanying the paper "Knowledge Base Completion Meets Transfer Learning"

MvtecAD unsupervised Anomaly Detection

Microscopy Image Cytometry Toolkit

Official code for "End-to-End Optimization of Scene Layout" -- including VAE, Diff Render, SPADE for colorization (CVPR 2020 Oral)

Implementation of Deformable Attention in Pytorch from the paper "Vision Transformer with Deformable Attention"

A Blender python script for getting asset browser custom preview images for objects and collections.

Biomarker identification for COVID-19 Severity in BALF cells Single-cell RNA-seq data

A simple rest api serving a deep learning model that classifies human gender based on their faces. (vgg16 transfare learning)

Code for Temporally Abstract Partial Models

Code for "Localization with Sampling-Argmax", NeurIPS 2021

A tight inclusion function for continuous collision detection

Pytorch implementation of few-shot semantic image synthesis

The first dataset of composite images with rationality score indicating whether the object placement in a composite image is reasonable.

Official code release for ICCV 2021 paper SNARF: Differentiable Forward Skinning for Animating Non-rigid Neural Implicit Shapes.

An e-commerce company wants to segment its customers and determine marketing strategies according to these segments.

Utilities and information for the signals.numer.ai tournament

Convert dog pictures into various painting styles. Try LimnPet

Tackling data scarcity in Speech Translation using zero-shot multilingual Machine Translation techniques

Pytorch implementation of our paper under review — Lottery Jackpots Exist in Pre-trained Models