210 Open source projects that are alternatives of or similar to Weakly Supervised Panoptic Segmentation

Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

A state-of-the-art semi-supervised method for image recognition

PyTorch training/tool code for Polygon-RNN++ (CVPR 2018)

Code for Adversarial Training Methods for Semi-Supervised Text Classification

😔 😞 😣 😖 😩 Detect depression on social media using the ssToT method introduced in our ASONAM 2017 paper titled "Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media"

SWA Object Detection

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

Pytorch implementation of "Graph Convolutional Networks for Text Classification"

PANet for Instance Segmentation and Object Detection

Algorithms for outlier and adversarial instance detection, concept drift and metrics.

Boundary-preserving Mask R-CNN (ECCV 2020)

A Mask R-CNN Keras implementation with Modanet annotations on the Paperdoll dataset

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

YOLACT: Real-time Instance Segmentation on the FCOS detector (without bbox cropping), achives 35.2mAP on coco val

speech to text with self-supervised learning based on wav2vec 2.0 framework

SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.

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

Official and maintained implementation of the paper Attention-Based Transformers for Instance Segmentation of Cells in Microstructures [BIBM 2020].

Pytorch implementation of Virtual Adversarial Training

Inference Code for Polygon-RNN++ (CVPR 2018)

Mask R-CNN for object detection and instance segmentation on Pytorch

Federated Learning Library: https://fedml.ai

Semi-supervised Medical Image Segmentation through Dual-task Consistency

Protein-compound affinity prediction through unified RNN-CNN

Real-time Anchor-Free Instance Segmentation, in CVPR 2020

Implement of paper 《Attention-guided Context Feature Pyramid Network for Object Detection》

Code for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"

Implementation with some extensions of the paper "Snowball: Extracting Relations from Large Plain-Text Collections" (Agichtein and Gravano, 2000)

PyTorch implementation of Adversarially Learned Inference (BiGAN).

Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

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

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

Code for reproducing ICT ( published in IJCAI 2019)

Several SSL methods (Pi model, Mean Teacher) are implemented in pytorch

Official code for "Object counting and instance segmentation with image-level supervision", in CVPR 2019 and TPAMI 2020

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]

Implementation of Ladder Network in PyTorch.

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

Actor-Critic Instance Segmentation (CVPR 2019)

Conditional Convolutions for Instance Segmentation, achives 37.1mAP on coco val

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

[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

📚 A collection of papers about Referring Image Segmentation.

The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.

Copy-paste augmentation for segmentation and detection tasks

CenterMask : Real-Time Anchor-Free Instance Segmentation, in CVPR 2020

NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs

Implementations of various VAE-based semi-supervised and generative models in PyTorch

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

Unsupervised instance segmentation via active robot interaction

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

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

Unsupervised Data Augmentation (UDA)

Pytorch Implementation of the paper MixMatch: A Holistic Approach to Semi-Supervised Learning (https://arxiv.org/pdf/1905.02249.pdf)

Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"