420 Open source projects that are alternatives of or similar to MCIS_wsss

Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)

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IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

Weakly Supervised Segmentation by Tensorflow. Implements semantic segmentation in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

DeepLab-LargeFOV implemented in tensorflow

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The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network

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Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite

PyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

TensorFlow implementation of ENet, trained on the Cityscapes dataset.

Simplest and fastest image and text annotation tool.

PyTorch implementation of DeepLabv3

Tensorflow implementation of "Semantic Instance Segmentation with a Discriminative Loss Function"

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

Code for our ACMMM2020 paper "Context-aware Feature Generation for Zero-shot Semantic Segmentation".

Fully Convolutional HarDNet for Segmentation in Pytorch

Be Driven 🚘

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

U-Net implementation for PyTorch based on https://arxiv.org/abs/1505.04597

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

image (semantic segmentation) instance segmentation by darknet or yolo

The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

CGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]

The official homepage of the (outdated) COCO-Stuff 10K dataset.

Fully convolutional networks for semantic segmentation

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

Sandbox for training deep learning networks

ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

[CVPR 2020] Semi-Supervised Semantic Segmentation with Cross-Consistency Training.

LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation

An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"

Adaptive Affinity Fields for Semantic Segmentation

Direct Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.

Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

An awesome semantic segmentation model that runs in real time

A framework for developing neural network models for 3D image processing.

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A large-scale dataset for face parsing (AAAI2020)

Implementation of Our ECCV2020-work: Improving Semantic Segmentation via Decoupled Body and Edge Supervision

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

Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).

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ICNet and PSPNet-50 in Tensorflow for real-time semantic segmentation

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

Another pytorch implementation of FCN (Fully Convolutional Networks)

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

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

📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance

Semantic Segmentation using Fully Convolutional Neural Network.