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

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

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

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

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

Simplest and fastest image and text annotation tool.

Code for the ACL paper "No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling"

unet for rgb images semantic segmentation

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

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

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

Gluon CV Toolkit

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

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

TensorFlow implementation of ENet, trained on the Cityscapes dataset.

LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation

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

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

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

STEAL - Learning Semantic Boundaries from Noisy Annotations (CVPR 2019)

Awesome Resources for Advanced Computer Vision Topics

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 implementation of Domain-Adversarial Training of Neural Networks

Deep learning applied to georeferenced datasets

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

image (semantic segmentation) instance segmentation by darknet or yolo

📚 A collection of papers about Referring Image Segmentation.

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

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

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

Real-Time 3D Semantic Reconstruction from 2D data

Another pytorch implementation of FCN (Fully Convolutional Networks)

A semantic segmentation toolbox based on PyTorch

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

Source code for "Vocal melody extraction with semantic segmentation and audio-symbolic domain transfer learning".

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

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

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

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

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

BERT-NER (nert-bert) with google bert https://github.com/google-research.

FrostNet: Towards Quantization-Aware Network Architecture Search

A collection of implementations of deep domain adaptation algorithms

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

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

This repository contains the source code of our work on designing efficient CNNs for computer vision

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

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

Improving Generalization via Scalable Neighborhood Component Analysis

A curated list of awesome graph representation learning.

Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].

Satellite Image Classification using semantic segmentation methods in deep learning

TFslim based semantic segmentation models, modular&extensible boutique design

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

a tensorflow implement of refinenet ,RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

SegNet implementation & experiments in Chainer

Automatic feature extraction and node role assignment for transfer learning on graphs (ReFeX & RolX)

Almost any Image classification problem using pytorch

self-supervised domain adaptation

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.