WatermarkRemoval-WDNet-WACV2021

Last update: Dec 05, 2022

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Deep Learning WDNet

Overview

WatermarkRemoval-WDNet-WACV2021

Thank you for your attention.

Citation

Please cite the related works in your publications if it helps your research:

@InProceedings{Liu_2021_WACV,
author = {Yang Liu and
          Zhen Zhu and
          Xiang Bai},
title = {WDNet: Watermark-Decomposition Network for Visible Watermark Removal},
booktitle = { 2021 {IEEE/CVF} Winter Conference on Applications of Computer Vision (WACV)},
publisher = {{IEEE}},
page = {3685-3693},
year = {2021}
}

Dataset CLWD

CLWD

Pretraied Model

Thanks for the help of @ChaiHuanhuan, who trained the WDNet and provided a pretrained WDNet model. This model is trained for 50 epoches.

Owner

LUYI

GitHub Repository

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WatermarkRemoval-WDNet-WACV2021

Related tags

Overview

WatermarkRemoval-WDNet-WACV2021

Citation

Dataset CLWD

Pretraied Model

Owner

LUYI

A booklet on machine learning systems design with exercises

Official PyTorch implementation for FastDPM, a fast sampling algorithm for diffusion probabilistic models

Neural Motion Learner With Python

The official repository for BaMBNet

Applications using the GTN library and code to reproduce experiments in "Differentiable Weighted Finite-State Transducers"

[NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators"

[PNAS2021] The neural architecture of language: Integrative modeling converges on predictive processing

Improving Transferability of Representations via Augmentation-Aware Self-Supervision

Adversarial-Information-Bottleneck - Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck (NeurIPS21)

MixRNet(Using mixup as regularization and tuning hyper-parameters for ResNets)

商品推荐系统

PyTorch implementation of the Pose Residual Network (PRN)

This Jupyter notebook shows one way to implement a simple first-order low-pass filter on sampled data in discrete time.

This code provides a PyTorch implementation for OTTER (Optimal Transport distillation for Efficient zero-shot Recognition), as described in the paper.

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

ReConsider is a re-ranking model that re-ranks the top-K (passage, answer-span) predictions of an Open-Domain QA Model like DPR (Karpukhin et al., 2020).

Vehicle speed detection with python

NaijaSenti is an open-source sentiment and emotion corpora for four major Nigerian languages

YOLOv5 Series Multi-backbone, Pruning and quantization Compression Tool Box.

TensorFlow implementation of original paper : https://github.com/hszhao/PSPNet