Kaggle: Cell Instance Segmentation

Last update: Aug 12, 2022

Overview

Kaggle: Cell Instance Segmentation

The goal of this challenge is to detect cells in microscope images.

with simple view on how many cels have been annotated per image:

Experimentation

install this tooling

A simple way how to use this basic functions:

! pip install https://github.com/Borda/kaggle_cell-inst-segm/archive/refs/heads/main.zip

run notebooks in Kaggle

local notebooks

some results

Training progress with EfficientNet3D with training for 10 epochs > over 96% validation accuracy:

Owner

Jirka Borovec

Computer Vision & Machine Learning & Bio-Medical Imaging & DeepLearn

GitHub Repository

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Kaggle: Cell Instance Segmentation

Related tags

Overview

Kaggle: Cell Instance Segmentation

Experimentation

install this tooling

run notebooks in Kaggle

local notebooks

some results

Owner

Jirka Borovec

All supplementary material used by me while TA-ing CS3244: Machine Learning

TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning

🦕 NanoSaur is a little tracked robot ROS2 enabled, made for an NVIDIA Jetson Nano

DuBE: Duple-balanced Ensemble Learning from Skewed Data

ROS support for Velodyne 3D LIDARs

Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation

PyTorch implementation for View-Guided Point Cloud Completion

This repository contains the code for the paper "PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization"

This folder contains the python code of UR5E's advanced forward kinematics model.

Discretized Integrated Gradients for Explaining Language Models (EMNLP 2021)

This repository contains the implementation of Deep Detail Enhancment for Any Garment proposed in Eurographics 2021

The pure and clear PyTorch Distributed Training Framework.

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

Dogs classification with Deep Metric Learning using some popular losses

Defending graph neural networks against adversarial attacks (NeurIPS 2020)

[NeurIPS 2021] The PyTorch implementation of paper "Self-Supervised Learning Disentangled Group Representation as Feature"

TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

This is a package for LiDARTag, described in paper: LiDARTag: A Real-Time Fiducial Tag System for Point Clouds

Catalyst.Detection

Array Camera Ptychography

Kaggle: Cell Instance Segmentation

Related tags

Overview

Kaggle: Cell Instance Segmentation

Experimentation

install this tooling

run notebooks in Kaggle

local notebooks

some results

Owner

Jirka Borovec

All supplementary material used by me while TA-ing CS3244: Machine Learning

TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning

🦕 NanoSaur is a little tracked robot ROS2 enabled, made for an NVIDIA Jetson Nano

DuBE: Duple-balanced Ensemble Learning from Skewed Data

ROS support for Velodyne 3D LIDARs

Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation

PyTorch implementation for View-Guided Point Cloud Completion

This repository contains the code for the paper "PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization"

This folder contains the python code of UR5E's advanced forward kinematics model.

Discretized Integrated Gradients for Explaining Language Models (EMNLP 2021)

This repository contains the implementation of Deep Detail Enhancment for Any Garment proposed in Eurographics 2021

The pure and clear PyTorch Distributed Training Framework.

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

Dogs classification with Deep Metric Learning using some popular losses

Defending graph neural networks against adversarial attacks (NeurIPS 2020)

[NeurIPS 2021] The PyTorch implementation of paper "Self-Supervised Learning Disentangled Group Representation as Feature"

​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

This is a package for LiDARTag, described in paper: LiDARTag: A Real-Time Fiducial Tag System for Point Clouds

Catalyst.Detection

Array Camera Ptychography

TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.