The official PyTorch code for NeurIPS 2021 ML4AD Paper, "Does Thermal data make the detection systems more reliable?"

Related tags

Deep LearningMMC
Overview

MultiModal-Collaborative (MMC) Learning Framework for integrating RGB and Thermal spectral modalities

This is the official code for NeurIPS 2021 Machine Learning for Autonomous Driving Workshop Paper, "Does Thermal data make the detection systems more reliable?" by Shruthi Gowda, Elahe Arani and Bahram Zonooz.

Methodology

Architecture

Detection Head : SSD
Detection Backbone : Resnet (CNN-based) or DEiT (Transformer-based)

MMC framework

image info

MMC framework has multiple versions

KD.ENABLE: True
KD.ENABLE_DML: True

1. MMC (Base Version) : Det Loss + DML Loss 
    KD.DISTILL_TYPE : KL, AT, L2, L2B
    KL (KL divergence), AT (Attention loss), L2 (L2 norm at head layer), L2B (L2 norm of backbone features)
   
2. MMC v1 (Reconstruction) : Det Loss + DML Loss + Recon Loss
    KD.AUX_RECON = True
    KD.AUX_RECON_MODE = "normal"

3. MMC v2 (Cross Reconstruction) : Det Loss + DML Loss + Cross Recon Loss
    KD.AUX_RECON = True
    KD.AUX_RECON_MODE = "cross"

We also try other techniques for comparison image info

Fusion
1. Input Fusion
    KD.CONCAT_INPUT
2. Feature Fusion
    KD.CONCAT_FEATURES
    CONCAT_LAYERS

Installation

You can prepare the environment using:

pip install -r requirements.txt

You can build the project using the following script:

./build {conda_env_name}

Datasets

Two datasets "FLIR" and "KAIST" are used in this repo

FLIR : https://www.flir.eu/oem/adas/adas-dataset-form/

KAIST : https://soonminhwang.github.io/rgbt-ped-detection/

Running

Train

There are 2 networks, one receiving RGB images and one receiving thermal images. Both require different config files.

python train.py --config-file <thermal-config-file> --teacher-config-file <rgb-config-file>

Test

For evaluation only one network is used - the first network (RGB or Teacher network)

python test.py --config-file <config-file> --ckpt <model_final.pth>

Model Checkpoints

Cite Our Work

License

This project is licensed under the terms of the MIT license.

Owner
NeurAI
Located at the brain port of Netherlands, the Advanced Research Lab is an innovation center within the NavInfo group. We have a diverse energetic team of resear
NeurAI
GitHub Repository
Machine Learning automation and tracking

The Open-Source MLOps Orchestration Framework MLRun is an open-source MLOps framework that offers an integrative approach to managing your machine-lea

873 Jan 04, 2023
Object Database for Super Mario Galaxy 1/2.

Super Mario Galaxy Object Database Welcome to the public object database for Super Mario Galaxy and Super Mario Galaxy 2. Here, we document all object

Aurum 9 Dec 04, 2022
DFFNet: An IoT-perceptive Dual Feature Fusion Network for General Real-time Semantic Segmentation

DFFNet Paper DFFNet: An IoT-perceptive Dual Feature Fusion Network for General Real-time Semantic Segmentation. Xiangyan Tang, Wenxuan Tu, Keqiu Li, J

4 Sep 23, 2022
Quadruped-command-tracking-controller - Quadruped command tracking controller (flat terrain)

Quadruped command tracking controller (flat terrain) Prepare Install RAISIM link

Yunho Kim 4 Oct 20, 2022
NAS-FCOS: Fast Neural Architecture Search for Object Detection (CVPR 2020)

NAS-FCOS: Fast Neural Architecture Search for Object Detection This project hosts the train and inference code with pretrained model for implementing

Ning Wang 180 Dec 06, 2022
End-To-End Optimization of LiDAR Beam Configuration

End-To-End Optimization of LiDAR Beam Configuration arXiv | IEEE Xplore This repository is the official implementation of the paper: End-To-End Optimi

Niclas 30 Nov 28, 2022
Use stochastic processes to generate samples and use them to train a fully-connected neural network based on Keras

Use stochastic processes to generate samples and use them to train a fully-connected neural network based on Keras which will then be used to generate residuals

Federico Lopez 2 Jan 14, 2022
Ensemble Visual-Inertial Odometry (EnVIO)

Ensemble Visual-Inertial Odometry (EnVIO) Authors : Jae Hyung Jung, Yeongkwon Choe, and Chan Gook Park 1. Overview This is a ROS package of Ensemble V

Jae Hyung Jung 95 Jan 03, 2023
NVIDIA Deep Learning Examples for Tensor Cores

NVIDIA Deep Learning Examples for Tensor Cores Introduction This repository provides State-of-the-Art Deep Learning examples that are easy to train an

NVIDIA Corporation 10k Dec 31, 2022
Code for the Paper "Diffusion Models for Handwriting Generation"

Code for the Paper "Diffusion Models for Handwriting Generation"

62 Dec 21, 2022
IJON is an annotation mechanism that analysts can use to guide fuzzers such as AFL.

IJON SPACE EXPLORER IJON is an annotation mechanism that analysts can use to guide fuzzers such as AFL. Using only a small (usually one line) annotati

Chair for Sys­tems Se­cu­ri­ty 146 Dec 16, 2022
The fundamental package for scientific computing with Python.

NumPy is the fundamental package needed for scientific computing with Python. Website: https://www.numpy.org Documentation: https://numpy.org/doc Mail

NumPy 22.4k Jan 09, 2023
Codes for the paper Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing

Contrast and Mix (CoMix) The repository contains the codes for the paper Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Backgroun

Computer Vision and Intelligence Research (CVIR) 13 Dec 10, 2022
Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

Human-Segmentation-PyTorch Human segmentation models, training/inference code, and trained weights, implemented in PyTorch. Supported networks UNet: b

Thuy Ng 474 Dec 19, 2022
Rafael Project- Classifying rockets to different types using data science algorithms.

Rocket-Classify Rafael Project- Classifying rockets to different types using data science algorithms. In this project we received data base with data

Hadassah Engel 5 Sep 18, 2021
Diverse Object-Scene Compositions For Zero-Shot Action Recognition

Diverse Object-Scene Compositions For Zero-Shot Action Recognition This repository contains the source code for the use of object-scene compositions f

7 Sep 21, 2022
https://arxiv.org/abs/2102.11005

LogME LogME: Practical Assessment of Pre-trained Models for Transfer Learning How to use Just feed the features f and labels y to the function, and yo

THUML: Machine Learning Group @ THSS 149 Dec 19, 2022
Codes for “A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection”

DSAMNet The pytorch implementation for "A Deeply-supervised Attention Metric-based Network and an Open Aerial Image Dataset for Remote Sensing Change

Mengxi Liu 41 Dec 14, 2022
Chainer implementation of recent GAN variants

Chainer-GAN-lib This repository collects chainer implementation of state-of-the-art GAN algorithms. These codes are evaluated with the inception score

399 Oct 23, 2022
An SMPC companion library for Syft

SyMPC A library that extends PySyft with SMPC support SyMPC /ˈsɪmpəθi/ is a library which extends PySyft ≥0.3 with SMPC support. It allows computing o

Arturo Marquez Flores 0 Oct 13, 2021