U-2-Net: U Square Net - Modified for paired image training of style transfer

Last update: Oct 03, 2022

Overview

U²-Net: U Square Net

Modified for paired image training of style transfer

This is an unofficial repo making use of the code which was made available by the original author team of U²-Net (U square net) published in Pattern Recognition 2020:

U²-Net: Going Deeper with Nested U-Structure for Salient Object Detection

Xuebin Qin, Zichen Zhang, Chenyang Huang, Masood Dehghan, Osmar R. Zaiane and Martin Jagersand

Inference

See u2net_test.py

input	u2netp (4.9 MB)	u2net (176.5 MB)

Training

See u2net_train.py

Pre-Trained models

Available here

Citation data of the original Repo

@InProceedings{Qin_2020_PR,
title = {U2-Net: Going Deeper with Nested U-Structure for Salient Object Detection},
author = {Qin, Xuebin and Zhang, Zichen and Huang, Chenyang and Dehghan, Masood and Zaiane, Osmar and Jagersand, Martin},
journal = {Pattern Recognition},
volume = {106},
pages = {107404},
year = {2020}
}

Owner

Doron Adler

GitHub Repository

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U-2-Net: U Square Net - Modified for paired image training of style transfer

Related tags

Overview

U²-Net: U Square Net

Modified for paired image training of style transfer

U²-Net: Going Deeper with Nested U-Structure for Salient Object Detection

Inference

Training

Pre-Trained models

Citation data of the original Repo

Owner

Doron Adler

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U-2-Net: U Square Net - Modified for paired image training of style transfer

Related tags

Overview

U2-Net: U Square Net

Modified for paired image training of style transfer

U2-Net: Going Deeper with Nested U-Structure for Salient Object Detection

Inference

Training

Pre-Trained models

Citation data of the original Repo

Owner

Doron Adler

Exploring Classification Equilibrium in Long-Tailed Object Detection, ICCV2021

Colour detection is necessary to recognize objects, it is also used as a tool in various image editing and drawing apps.

auto-tuning momentum SGD optimizer

PyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning

Combinatorial model of ligand-receptor binding

GNN-based Recommendation Benchmark

[NeurIPS 2021] Source code for the paper "Qu-ANTI-zation: Exploiting Neural Network Quantization for Achieving Adversarial Outcomes"

The project is associated with the recently-launched ICASSP 2022 Multi-channel Multi-party Meeting Transcription Challenge (M2MeT) to provide participants with baseline systems for speech recognition and speaker diarization in conference scenario.

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Code for the Lovász-Softmax loss (CVPR 2018)

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

A flexible and extensible framework for gait recognition.

Google AI Open Images - Object Detection Track: Open Solution

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U²-Net: U Square Net

U²-Net: Going Deeper with Nested U-Structure for Salient Object Detection