939 Open source projects that are alternatives of or similar to Instance Segmentation With Discriminative Loss Tensorflow

Paper notes in deep learning/machine learning and computer vision

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available

📚 A collection of papers about Referring Image Segmentation.

Cell Detection with PyTorch.

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

Cut and paste augmentation for object detection and instance segmentation

PyTorch implementation of "Pyramid Scene Parsing Network".

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[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

🔥Deep Learning for 3D Point Clouds (IEEE TPAMI, 2020)

🐰 Python lib for remo - the app for annotations and images management in Computer Vision

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Labeled images of the Where's Waldo puzzle for use in classification and image recognition problems.

PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).

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My 5th place (out of 816 teams) solution to The 2018 Data Science Bowl organized by Booz Allen Hamilton

[ECCV 2020] PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer

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A large-scale dataset for face parsing (AAAI2020)

Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"

A high performance implementation of HDBSCAN clustering.

CNN image classifier implemented in Keras Notebook 🖼️.

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

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R/shiny interface for interactive visualization of data in SummarizedExperiment objects

Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18

Copy-paste augmentation for segmentation and detection tasks

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

C++ based toolbox for the SUNCG dataset

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

[CVPR'19] JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

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Cluster RabbitMQ (official docker image)

Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).

This repository consists of all my Machine Learning Projects.

An awesome semantic segmentation model that runs in real time

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SegAN: Semantic Segmentation with Adversarial Learning

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A native Tensorflow implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions (2016). Optionally uses the pretrained weights by the authors.

image (semantic segmentation) instance segmentation by darknet or yolo

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

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Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

embedding and grouping pixels into boundary, proposal, segment and object instance.

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