701 Open source projects that are alternatives of or similar to Clan

Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)

Play MK.js with TensorFlow.js

lightweight and efficient cnn for semantic segmentation, my blog address:

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

Inference pipeline for the CVPR paper entitled "Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer" (http://www.atapour.co.uk/papers/CVPR2018.pdf).

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

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

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.

Deep Learning sample programs using PyTorch in C++

Class-Weighted Convolutional Features for Image Retrieval (BMVC 2017)

[NeurIPS 2020] Code release for paper "Deep Multimodal Fusion by Channel Exchanging" (In PyTorch)

An awesome semantic segmentation model that runs in real time

A label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported

Transfer Learning for Anime Characters Recognition

Open Toolkit for Painless Object Detection

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

CRF-RNN PyTorch version http://crfasrnn.torr.vision

Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud

Tensorflow implementation : U-net and FCN with global convolution

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

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

A large-scale dataset for face parsing (AAAI2020)

DeepLab-LargeFOV implemented in tensorflow

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

A PyTorch Detectron codebase for domain adaptation of object detectors.

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

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

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)

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

Tensorflow Implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks

TensorFlow implementation of ENet, trained on the Cityscapes dataset.

Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade

Repository for Paper: Cross-Domain Complementary Learning Using Pose for Multi-Person Part Segmentation (TCSVT20)

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/>.

PyTorch codebase for zero-shot dialog generation SIGDIAL 2018, It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

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

Deep learning applied to georeferenced datasets

image (semantic segmentation) instance segmentation by darknet or yolo

[ICCV 2019 (Oral)] Temporal Attentive Alignment for Large-Scale Video Domain Adaptation (PyTorch)

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

Another pytorch implementation of FCN (Fully Convolutional Networks)

End-to-end image segmentation kit based on PaddlePaddle.

code of Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations (CVPR2020 oral)

Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images

Code for Learning to select data for transfer learning with Bayesian Optimization

FrostNet: Towards Quantization-Aware Network Architecture Search

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

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

Satellite Image Classification using semantic segmentation methods in deep learning

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

SegSort: Segmentation by Discriminative Sorting of Segments

train test labels for sunrgbd

Adaptive Affinity Fields for Semantic Segmentation

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

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

Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.