897 Open source projects that are alternatives of or similar to Adaptsegnet

cRNN-GAN to generate music by training on instrumental music (midi)

A toolbox for differentially private data generation

Semantic Segmentation of Underwater Imagery: Dataset and Benchmark. #IROS2020

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

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)

Google DeepLab V3 for Image Semantic Segmentation

PyTorch implementation of ESRGAN (ECCVW 2018) for compressed image subjective quality enhancement.

Real-Time Semantic Segmentation in Mobile device

Central Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)

Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'

An extremely simple generative adversarial network, built with TensorFlow

deeplabv3plus (Google's new algorithm for semantic segmentation) in keras：Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Project Page of 'GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction' [CVPR2019]

Adversarial learning framework to enhance long-tail recommendation in Neural Collaborative Filtering

Volumetric Fusion of Multiple Semantic Labels and Masks

Keras BiseNet architecture implementation

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

U-NET Semantic Segmentation model for Mobile

Keras implementation of 3D Generative Adversarial Network.

Automated object remover Inpainter is a project that combines Semantic segmentation and EdgeConnect architectures with minor changes in order to remove specified object/s from list of 20 objects from all the input photos

The Roadmap to Learn Generative Adversarial Networks (GANs)

Translate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks

Generate text boxes from input words with a GAN.

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

The implementation of Temporal Generative Adversarial Nets with Singular Value Clipping

AttaNet for real-time semantic segmentation.

AutoDIAL Caffe Implementation

Implementation of a GAN that generates video using LSTM and ConvNet in Tensorflow

GAN Playground - Experiment with Generative Adversarial Nets in your browser. An introduction to GANs.

Learning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)

Timbre transfer with variational autoencoding and cycle-consistent adversarial networks. Able to transfer the timbre of an audio source to that of another.

Code for NAACL 2019 paper: Adversarial Category Alignment Network for Cross-domain Sentiment Classification

Tutorial on creating your own GAN in Tensorflow

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things I help(ed) to build

FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation (CVPR 2021)

Official code for "Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content"，CVPR‘20 https://arxiv.org/abs/2003.05863

Designed to take you from zero experience to GANs within a week.

Applied Deep Learning (2019 Spring) @ NTU

HyperSeg - Official PyTorch Implementation

Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

Computer Vision and Machine Learning related projects of Udacity's Self-driving Car Nanodegree Program

Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification

Cut and paste augmentation for object detection and instance segmentation

Unofficial PyTorch implementation of "GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint"

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

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

PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"

A list of popular deep learning models related to classification, segmentation and detection problems

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

[AAAI'20] Segmenting Medical MRI via Recurrent Decoding Cell (Spotlight)

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

Interactive Image Generation via Generative Adversarial Networks

Single-Stage Semantic Segmentation from Image Labels (CVPR 2020)

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

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