Computer Vision Script to recognize first person motion, developed as final project for the course "Machine Learning and Deep Learning"

Overview

Overview of The Code

  1. BaseColab/MLDL_FPAR.pdf: it contains the full explanation of our work
  2. Base Colab: it contains the base colab used to perform all the training required for the project
  3. Script: it contains the scripts used in Colab for calling the correct module
  4. module.py: python files

Imprinting The Motion

Abstract

First person action recognition (FPAR) task is one of the most challenging in action recognition field. Most of the existing works address this issue with two-stream architectures, where the visual appearance and the motion information of the object of interest, are exploited. In this paper, we use as starting point the Ego-RNN architecture with the addition of the Motion Segmentation (MS) auxiliary task. We propose the injection of a new branch in the architecture, in order to employ the motion information more effectively. This leads to have better predictions.

Our Architecture

architeture

The Action Recognition Block extracts important spatial and temporal information from the video with the exploitation of the ResNet-34 (mustard), Spatial Attention Layer (yellow) and ConvLSTM (orange). Moreover, it takes advantage from the auxiliary task of the Motion Prediction Block, by embedding its knowledge inside the first layers of the backbone. This is performed with a feedback branch (blue) that takes as input the features of the motion segmentation (MS) task (green). The Motion Prediction Block takes, as input, the appearance features from the layer 4 of the ResNet and tries to identifies which parts of the image are going to move

Results

results

Our architecture is able to further exploit the motion information provided by the motion segmentation by merging them with the appearance features in the first layers of the backbone. The result is a model that better focuses on the relevant elements for action recognition and this lead to the correct prediction (shake tea cup instead of stir spoon cup)

Owner
Simone Papicchio
Simone Papicchio
A python program to hack instagram

hackinsta a program to hack instagram Yokoback_(instahack) is the file to open, you need libraries write on import. You run that file in the same fold

2 Jan 22, 2022
TensorFlow port of PyTorch Image Models (timm) - image models with pretrained weights.

TensorFlow-Image-Models Introduction Usage Models Profiling License Introduction TensorfFlow-Image-Models (tfimm) is a collection of image models with

Martins Bruveris 227 Dec 20, 2022
Hyper-parameter optimization for sklearn

hyperopt-sklearn Hyperopt-sklearn is Hyperopt-based model selection among machine learning algorithms in scikit-learn. See how to use hyperopt-sklearn

1.4k Jan 01, 2023
Face Recognition plus identification simply and fast | Python

PyFaceDetection Face Recognition plus identification simply and fast Ubuntu Setup sudo pip3 install numpy sudo pip3 install cmake sudo pip3 install dl

Peyman Majidi Moein 16 Sep 22, 2022
Pytorch implementation of set transformer

set_transformer Official PyTorch implementation of the paper Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks .

Juho Lee 410 Jan 06, 2023
Cross-view Transformers for real-time Map-view Semantic Segmentation (CVPR 2022 Oral)

Cross View Transformers This repository contains the source code and data for our paper: Cross-view Transformers for real-time Map-view Semantic Segme

Brady Zhou 363 Dec 25, 2022
natural image generation using ConvNets

The Eyescream Project Generating Natural Images using Neural Networks. For our research summary on this work, please read the Arxiv paper: http://arxi

Meta Archive 601 Nov 23, 2022
A PyTorch implementation of the paper Mixup: Beyond Empirical Risk Minimization in PyTorch

Mixup: Beyond Empirical Risk Minimization in PyTorch This is an unofficial PyTorch implementation of mixup: Beyond Empirical Risk Minimization. The co

Harry Yang 121 Dec 17, 2022
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

DensePose: Dense Human Pose Estimation In The Wild Rıza Alp Güler, Natalia Neverova, Iasonas Kokkinos [densepose.org] [arXiv] [BibTeX] Dense human pos

Meta Research 6.4k Jan 01, 2023
Code needed to reproduce the examples found in "The Temporal Robustness of Stochastic Signals"

The Temporal Robustness of Stochastic Signals Code needed to reproduce the examples found in "The Temporal Robustness of Stochastic Signals" Case stud

0 Oct 28, 2021
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (SVS & TTS); AAAI 2022; Official code

DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism This repository is the official PyTorch implementation of our AAAI-2022 paper, in

Jinglin Liu 803 Dec 28, 2022
Multi Agent Path Finding Algorithms

MATP-solver Simulator collision check path step random initial states or given states Traditional method Seperate A* algorithem Confict-based Search S

30 Dec 12, 2022
GLODISMO: Gradient-Based Learning of Discrete Structured Measurement Operators for Signal Recovery

GLODISMO: Gradient-Based Learning of Discrete Structured Measurement Operators for Signal Recovery This is the code to the paper: Gradient-Based Learn

3 Feb 15, 2022
Official PyTorch implementation of MX-Font (Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts)

Introduction Pytorch implementation of Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Expert. | paper Song Park1

Clova AI Research 97 Dec 23, 2022
PocketNet: Extreme Lightweight Face Recognition Network using Neural Architecture Search and Multi-Step Knowledge Distillation

PocketNet This is the official repository of the paper: PocketNet: Extreme Lightweight Face Recognition Network using Neural Architecture Search and M

Fadi Boutros 40 Dec 22, 2022
Graph neural network message passing reframed as a Transformer with local attention

Adjacent Attention Network An implementation of a simple transformer that is equivalent to graph neural network where the message passing is done with

Phil Wang 49 Dec 28, 2022
Deep Video Matting via Spatio-Temporal Alignment and Aggregation [CVPR2021]

Deep Video Matting via Spatio-Temporal Alignment and Aggregation [CVPR2021] Paper: https://arxiv.org/abs/2104.11208 Introduction Despite the significa

76 Dec 07, 2022
The authors' official PyTorch SigWGAN implementation

The authors' official PyTorch SigWGAN implementation This repository is the official implementation of [Sig-Wasserstein GANs for Time Series Generatio

9 Jun 16, 2022
Scene-Text-Detection-and-Recognition (Pytorch)

Scene-Text-Detection-and-Recognition (Pytorch) Competition URL: https://tbrain.t

Gi-Luen Huang 9 Jan 02, 2023
Malware Analysis Neural Network project.

MalanaNeuralNetwork Description Malware Analysis Neural Network project. Table of Contents Getting Started Requirements Installation Clone Set-Up VENV

2 Nov 13, 2021