117 Open source projects that are alternatives of or similar to ViNet

Extending existing saliency prediction models from 2D to omnidirectional images

Microarchitectural exploitation and other hardware attacks.

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

Structure-measure: A New Way to Evaluate Foreground Maps, IJCV2021 (ICCV 2017-Spotlight)

Forecast time series and stock prices with SCINet

Code for CheXpert Challenge 2019 Top 1 && Top 2 solution

A high-performance distributed deep learning system targeting large-scale and automated distributed training.

Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)

Source code for Delving Deeper into the Decoder for Video Captioning

Exploiting Saliency for Object Segmentation from Image Level Labels, CVPR'17

Jing Lou, Wei Zhu, Huan Wang, Mingwu Ren*, “Small Target Detection Combining Regional Stability and Saliency in a Color Image,” Multimedia Tools and Applications, vol. 76, no. 13, pp. 14781-14798, 2017.

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

The implementation of 3D-UNet using PyTorch

PySODEvalToolkit: A Python-based Evaluation Toolbox for Salient Object Detection and Camouflaged Object Detection

手工实现的智能图片处理系统 包含基础的图片处理功能 各类滤波 seam carving算法 以及结合精细语义分割信息 实现智能去除目标的功能

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

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

LAVT: Language-Aware Vision Transformer for Referring Image Segmentation

Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity

Compare six baseline deep learning models on TrecQA

Pytorch implementation of convolutional neural network visualization techniques

Berserker - BERt chineSE woRd toKenizER

PyTorch Implementation for Neural Graph Collaborative Filtering

A Collection of Variational Autoencoders (VAE) in PyTorch.

[BMVC17] Weakly Supervised Saliency Detection with A Category-Driven Map Generator

RGB-D Salient Object Detection: A Survey

Pytorch Implementation of the paper - "Tidying Deep Saliency Prediction Architectures"

A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".

No description or website provided.

This repo is official PyTorch implementation of MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices(CVPRW 2021).

No description or website provided.

🔥 OpenPose api wrapper in PyTorch.

A dilated inception network for visual saliency prediction (TMM 2019)

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

(TPAMI2022) Salient Object Detection via Integrity Learning.

Neuro-Symbolic Visual Question Answering on Sort-of-CLEVR using PyTorch

Collection of popular and reproducible image denoising works.

The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.

This repository contains the implementation of the AI-based "BeatNet" Joint beat, downbeat, tempo, and meter tracking system using CRNN and particle filtering. 2021's state-of-the-art online model - (ISMIR 2021).

Intellij plugin that creates state machine diagram from state machine

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

[TPAMI Under Submission] Generative Multi-Label Zero-Shot Learning

Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques

A PyTorch Implementation of Convolutional Conditional Neural Process.

This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art", where we implement and evaluate several state-of-the-art approaches, ranging from handcrafted-based methods to convolutional neural networks.

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Image Denoising Codes using STROLLR learning, the Matlab implementation of the paper in ICASSP2017

Reproduce some methods in semi-supervised papers.

encode.ru community archiver

Salient Object Detection Driven by Fixation Prediction (CVPR2018)

[CVPR2020] Adversarial Latent Autoencoders

Pytorch implementation of Paper by Google Research - Representation Learning for Information Extraction from Form-like Documents.

Boundary Aware PoolNet = PoolNet + BASNet : Deeply supervised PoolNet using the hybrid loss in BASNet for Salient Object Detection

SALT (iccv2017) based Video Denoising Codes, Matlab implementation

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)

A clean and lucid implementation of cycleGAN using PyTorch

This Toolbox contains E-measure, S-measure, weighted F & F-measure, MAE and PR curves or bar metrics for salient object detection.