369 Open source projects that are alternatives of or similar to Adaptive_affinity_fields

Fully Convolutional HarDNet for Segmentation in Pytorch

Another pytorch implementation of FCN (Fully Convolutional Networks)

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

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

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

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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.

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

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

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

DeepLab-LargeFOV implemented in tensorflow

Be Driven 🚘

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

image (semantic segmentation) instance segmentation by darknet or yolo

Develop production ready deep learning code, deploy it and scale it

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

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C++ based toolbox for the SUNCG dataset

Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)

Collection of computer vision models, ready to be included in a JVM project

An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.

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

SegSort: Segmentation by Discriminative Sorting of Segments

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

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.

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

An awesome semantic segmentation model that runs in real time

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

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

A large-scale dataset for face parsing (AAAI2020)

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

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

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

SegAN: Semantic Segmentation with Adversarial Learning

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/>.

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

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

4D Spatio-Temporal Semantic Segmentation on a 3D video (a sequence of 3D scans)

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

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

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

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

Fully convolutional networks for semantic segmentation

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

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

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.

Sandbox for training deep learning networks

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

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

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

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

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

Simplest and fastest image and text annotation tool.