Unseen Object Amodal Instance Segmentation (UOAIS)

Github: https://github.com/gist-ailab/uoais

Paper: https://arxiv.org/abs/2109.11103

Dataset: https://paperswithcode.com/dataset/ocid

Project: https://sites.google.com/view/uoais

@Machine_learn

Hierarchical Memory Matching Network for Video Object Segmentation

Github: https://github.com/hongje/hmmn

Paper: https://arxiv.org/abs/2109.11404v1

Dataset: https://paperswithcode.com/dataset/davis-2016

@Machine_learn

Ensemble Deep Learning Models for Forecasting
Cryptocurrency Time-Series #Paper #Ensemble #2021 @Machine_learn

DERN: Deep Ensemble Learning Model for Shortand Long-Term Prediction of Baltic Dry Index #Paper #Ensemble #2021 @Machine_learn

AI in Healthcare: Time-Series
Forecasting Using Statistical, Neural,
and Ensemble Architectures #Paper #Ensemble #2021 @Machine_learn

An Actor-Critic Ensemble Aggregation Model for
Time-Series Forecasting #Paper #Ensemble #2021 @Machine_learn

Multi-Time Resolution Ensemble LSTMs for Enhanced Feature
Extraction in High-Rate Time Series #Paper #Ensemble #2021 @Machine_learn

CoBiD-net: a tailored deep learning ensemble model for time
series forecasting of covid-19 #Paper #Ensemble #2021 @Machine_learn

A novel ensemble deep learning model with dynamic error correction and multi-objective ensemble pruning for time series forecasting #Paper #Ensemble #2021 @Machine_learn

Deep Social Force

Github: https://github.com/svenkreiss/socialforce

Paper: https://arxiv.org/abs/2109.12081v1

@Machine_learn

Artificial Intelligence Enabled Traffic Monitoring System #Traffic_Monitoring #Paper #2021 @Machine_learn

Deep Learning for Network Traffic Monitoring and Analysis (NTMA): A
Survey #Traffic_Monitoring #Paper #2021 @Machine_learn

Traffic Monitoring using an Object Detection Framework with Limited
Dataset #Traffic_Monitoring #Paper #2021 @Machine_learn

Road Traffic Condition Monitoring using
Deep Learning #Traffic_Monitoring #Paper #2021 @Machine_learn

An improved YOLO-based road traffic monitoring system #Traffic_Monitoring #Paper #2021 @Machine_learn

Real‑time monitoring of traffic parameters #Paper #2021 @Machine_learn

Deep Learning with PyTorch Quick Start Guide
Learn to train and deploy neural network models in Python
David Julian #Book #PyTorch @Machine_learn

Distributed Artificial Intelligence
A Modern Approach
Edited by
Satya Prakash Yadav, Dharmendra Prasad Mahato, and Nguyen Thi Dieu Linh #Book @Machine_learn

Discover the world of Machine Learning using Python
algorithm analysis, ide and libraries. Projects focused on
beginners. #Book @Machine_learn