Milab Bookmarks

Intel & MobileODT Cervical Cancer Screening | Kaggle

www.kaggle.com

PAIP2021 - Grand Challenge

PAIP 2021 Challenge; Perineural invasion in multiple organ cancer (colon, prostate and pancreatobiliary tract)

paip2021.grand-challenge.org

URBAN-SED

Welcome to the companion site for the URBAN-SED dataset. Here you will find information and download links for the dataset presented in: Scaper: A Library for Soundscape Synthesis and Augmentation...

urbansed.weebly.com

justinsalamon/scaper

A library for soundscape synthesis and augmentation - justinsalamon/scaper

github.com

marl/urbanorchestra

Making music from urban environments (HAMR 2018 Hack) - marl/urbanorchestra

github.com

mashrin/UrbanSound-Spectrogram

Spectrogram for UrbanSound8K audio dataset. Contribute to mashrin/UrbanSound-Spectrogram development by creating an account on GitHub.

github.com

linusng/sonyc-ust-challenge-2019

DCASE Challenge 2019 - Task 5 Urban Sound Tagging (3rd place, Fine-level) - linusng/sonyc-ust-challenge-2019

github.com

Sound Event Detection and Time-Frequency Segmentation from Weakly Labelled Data

Sound event detection (SED) aims to detect when and recognize what sound events happen in an audio clip. Many supervised SED algorithms rely on strongly labelled data which contains the onset and offset annotations of sound events. However, many audio tagg

arxiv.org

Active Learning for Sound Event Detection

This paper proposes an active learning system for sound event detection (SED). It aims at maximizing the accuracy of a learned SED model with limited annotation effort. The proposed system analyzes an initially unlabeled audio dataset, from which it select

arxiv.org

Active learning for sound event classification by clustering unlabeled data | Semantic Scholar

This paper proposes a novel active learning method to save annotation effort when preparing material to train sound event classifiers. K-medoids clustering is performed on unlabeled sound segments, and medoids of clusters are presented to annotators for la

www.semanticscholar.org

Papers With Code : Sound Event Detection

See leaderboards and papers with code for Sound Event Detection

paperswithcode.com

Papers With Code : Sound Event Detection

See leaderboards and papers with code for Sound Event Detection

paperswithcode.com

Papers with Code: End-to-End Polyphonic Sound Event Detection Using Convolutional Recurrent Neural Networks with Learned Time-Fr

No code available yet.

paperswithcode.com

Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation

Convolutional Neural Networks (CNNs) can be shifted across 2D images or 3D videos to segment them. They have a fixed input size and typically perceive only small local contexts of the pixels to be classified as foreground or background. In contrast, Multi-

arxiv.org

ixartz/Markov-segmentation

Image segmentation with a Markov random field. Contribute to ixartz/Markov-segmentation development by creating an account on GitHub.

github.com

chuanli11/CNNMRF

code for paper "Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis" - chuanli11/CNNMRF

github.com

aonotas/deep-crf

An implementation of Conditional Random Fields (CRFs) with Deep Learning Method - aonotas/deep-crf

github.com

Shuai Zheng, University of Oxford

www.robots.ox.ac.uk

CRFasRNN

Conditional Random Fields as Recurrent Neural Networks Pixel-level labelling tasks, such as semantic segmentation, play a central role in image understanding. Recent approaches have attempted to harness the capabilities of deep learning techniques for imag

www.robots.ox.ac.uk

Dense Semantic Image Segmentation with Objects and Attributes

Dense Semantic Image Segmentation with Objects and Attributes Shuai Zheng1 Ming-Ming Cheng1 Jonathan Warrell1 Paul Sturgess1 Vibhav Vineet1 Carsten Rother2   Philip H. S. Torr1 1Torr-Vision Group, …

kylezheng.org