MIRNet

Tensorflow implementation of the MIRNet architecture as proposed by Learning Enriched Features for Real Image Restoration and Enhancement.

Lanuch Notebooks:

Wandb Logs: https://wandb.ai/19soumik-rakshit96/mirnet

TFLite Variant of MIRNet: https://github.com/sayakpaul/MIRNet-TFLite.

TFLite Models on Tensorflow Hub: https://tfhub.dev/sayakpaul/lite-model/mirnet-fixed/dr/1.

Tensorflow JS Variant of MIRNet: https://github.com/Rishit-dagli/MIRNet-TFJS.

Pre-trained Weights

Trained on 128x128 patches: https://drive.google.com/file/d/1sUlRD5MTRKKGxtqyYDpTv7T3jOW6aVAL/view?usp=sharing
Trained on 256x256 patches: https://drive.google.com/file/d/1sUlRD5MTRKKGxtqyYDpTv7T3jOW6aVAL/view?usp=sharing

Citation

@misc{
    2003.06792,
    Author = {Syed Waqas Zamir and Aditya Arora and Salman Khan and Munawar Hayat and Fahad Shahbaz Khan and Ming-Hsuan Yang and Ling Shao},
    Title = {Learning Enriched Features for Real Image Restoration and Enhancement},
    Year = {2020},
    Eprint = {arXiv:2003.06792},
}

Tensorflow implementation of MIRNet for Low-light image enhancement

Related tags

Overview

MIRNet

Pre-trained Weights

Citation

Owner

Soumik Rakshit

A sample pytorch Implementation of ACL 2021 research paper "Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction".

Constrained Logistic Regression - How to apply specific constraints to logistic regression's coefficients

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Over9000 optimizer

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MvtecAD unsupervised Anomaly Detection

Evolution Strategies in PyTorch

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Official implementation for the paper "Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection"

PyTorch implementation of VAGAN: Visual Feature Attribution Using Wasserstein GANs

SlideGraph+: Whole Slide Image Level Graphs to Predict HER2 Status in Breast Cancer

ICNet for Real-Time Semantic Segmentation on High-Resolution Images, ECCV2018

Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms

Official pytorch implementation of Active Learning for deep object detection via probabilistic modeling (ICCV 2021)

The code for our paper Semi-Supervised Learning with Multi-Head Co-Training

ISBI 2022: Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image.

Code for the ICCV 2021 paper "Pixel Difference Networks for Efficient Edge Detection" (Oral).

Convolutional neural network web app trained to track our infant’s sleep schedule using our Google Nest camera.

Tensorflow implementation of MIRNet for Low-light image enhancement

Related tags

Overview

MIRNet

Pre-trained Weights

Citation

Owner

Soumik Rakshit

A sample pytorch Implementation of ACL 2021 research paper "Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction".

Constrained Logistic Regression - How to apply specific constraints to logistic regression's coefficients

Simple ONNX operation generator. Simple Operation Generator for ONNX.

Over9000 optimizer

This is a TensorFlow implementation for C2-Rec

Self-supervised Deep LiDAR Odometry for Robotic Applications

MvtecAD unsupervised Anomaly Detection

Evolution Strategies in PyTorch

NuPIC Studio is an all­-in-­one tool that allows users create a HTM neural network from scratch

Registration Loss Learning for Deep Probabilistic Point Set Registration

Official implementation for the paper "Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection"

PyTorch implementation of VAGAN: Visual Feature Attribution Using Wasserstein GANs

SlideGraph+: Whole Slide Image Level Graphs to Predict HER2 Status in Breast Cancer

ICNet for Real-Time Semantic Segmentation on High-Resolution Images, ECCV2018

Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms

Official pytorch implementation of Active Learning for deep object detection via probabilistic modeling (ICCV 2021)

The code for our paper Semi-Supervised Learning with Multi-Head Co-Training

ISBI 2022: Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image.

Code for the ICCV 2021 paper "Pixel Difference Networks for Efficient Edge Detection" (Oral).

Convolutional neural network web app trained to track our infant’s sleep schedule using our Google Nest camera.

NuPIC Studio is an all-in-one tool that allows users create a HTM neural network from scratch