Deep Learning Based Object

Deep learning-based object detection aims to automatically identify and locate objects within images or videos, leveraging the power of neural networks to achieve high accuracy and speed. Current research emphasizes improving robustness in challenging scenarios, such as open-world settings with unseen objects, and addressing limitations in detecting small or obscured objects, often employing architectures like YOLO variants and EfficientDet. This field is crucial for numerous applications, including autonomous driving, medical image analysis, and industrial automation, driving advancements in both computer vision and related domains.

Papers

September 24, 2024

Open-World Object Detection with Instance Representation Learning
Sunoh Lee, Minsik Jeon, Jihong Min, Junwon Seo
Object Detector Feature Extraction Deep Learning Based Object Open World Object Detection Instance Representation

May 5, 2024

Performance Evaluation of Real-Time Object Detection for Electric Scooters
Dong Chen, Arman Hosseini, Arik Smith, Amir Farzin Nikkhah, Arsalan Heydarian, Omid Shoghli, Bradford Campbell
Autonomous Vehicle Performance Evaluation Real Time Object Deep Learning Based Object YOLO Object E Scooter E Scooter Rider

April 9, 2024

Automatic Defect Detection in Sewer Network Using Deep Learning Based Object Detector
Bach Ha, Birgit Schalter, Laura White, Joachim Koehler
Object Detector Image Processing Defect Detection Deep Learning Based Object

April 5, 2024

SCAResNet: A ResNet Variant Optimized for Tiny Object Detection in Transmission and Distribution Towers
Weile Li, Muqing Shi, Zhonghua Hong
Object Detection Model Deep Learning Based Object Feature Propagation Transmission Data Spatial Pyramid Pooling FEAR Speech Tiny Object Detection Power Transmission

March 24, 2024

Object Detectors in the Open Environment: Challenges, Solutions, and Outlook
Siyuan Liang, Wei Wang, Ruoyu Chen, Aishan Liu, Boxi Wu, Ee-Chien Chang, Xiaochun Cao, Dacheng Tao
Technical Challenge Object Detector Solution Path Deep Learning Based Object Outlook Attention Open World Object Open Environment Detection Pipeline

March 22, 2024

SFOD: Spiking Fusion Object Detector
Yimeng Fan, Wei Zhang, Changsong Liu, Mingyang Li, Wenrui Lu
Deep Learning Based Object Object Detection Algorithm Based Object Fusion Detection

January 28, 2024

EventF2S: Asynchronous and Sparse Spiking AER Framework using Neuromorphic-Friendly Algorithm
Lakshmi Annamalai, Chetan Singh Thakur
Spiking Neural Network Neuromorphic Hardware Neuromorphic Approach Deep Learning Based Object

December 10, 2023

Investigating YOLO Models Towards Outdoor Obstacle Detection For Visually Impaired People
Chenhao He, Pramit Saha
COCO Dataset Deep Learning Based Object YOLO Object Obstacle Detection Visually Impaired People YOLO Model

December 4, 2023

Survey on deep learning in multimodal medical imaging for cancer detection
Yan Tian, Zhaocheng Xu, Yujun Ma, Weiping Ding, Ruili Wang, Zhihong Gao, Guohua Cheng, Linyang He, Xuran Zhao
Deep Learning Timely Survey Imaging Technique Deep Learning Based Object Cancer Detection Multi Modality Imaging Small Lesion

November 14, 2023

Identifying Light-curve Signals with a Deep Learning Based Object Detection Algorithm. II. A General Light Curve Classification Framework
Kaiming Cui, D. J. Armstrong, Fabo Feng
Time Series Conformal Prediction Deep Learning Based Object Light Curve Novel Deep Learning Framework

October 31, 2023

View Classification and Object Detection in Cardiac Ultrasound to Localize Valves via Deep Learning
Derya Gol Gungor, Bimba Rao, Cynthia Wolverton, Ismayil Guracar
Deep Learning Deep Neural Network Deep Learning Based Object Transesophageal Echocardiography

October 10, 2023

Advanced Efficient Strategy for Detection of Dark Objects Based on Spiking Network with Multi-Box Detection
Munawar Ali, Baoqun Yin, Hazrat Bilal, Aakash Kumar, Ali Muhammad, Avinash Rohra
Data Detection Object Detection Detection Task Deep Learning Based Object Simple Strategy

September 30, 2023

AI-Dentify: Deep learning for proximal caries detection on bitewing x-ray -- HUNT4 Oral Health Study
Javier Pérez de Frutos, Ragnhild Holden Helland, Shreya Desai, Line Cathrine Nymoen, Thomas Langø, Theodor Remman, Abhijit Sen
X Ray Deep Learning Based Object Dental Disease Detection

July 19, 2023

Attacking by Aligning: Clean-Label Backdoor Attacks on Object Detection
Yize Cheng, Wenbin Hu, Minhao Cheng
Backdoor Attack Alignment Problem Deep Learning Based Object Clean Label Backdoor Attack Effective Backdoor Attack Object Generation Attack

July 12, 2023

YOGA: Deep Object Detection in the Wild with Lightweight Feature Learning and Multiscale Attention
Raja Sunkara, Tie Luo
Deep Learning Wild Challenge Convolutional Filter Deep Learning Based Object State of the Art Object Lightweight Object Detection Yoga Pose

June 21, 2023

Spiking Neural Network for Ultra-low-latency and High-accurate Object Detection
Jinye Qu, Zeyu Gao, Tielin Zhang, Yanfeng Lu, Huajin Tang, Hong Qiao
Object Detection Spiking Neural Network Low Latency Deep Learning Based Object Spiking Element Wise SNN Conversion

June 20, 2023

Exploring the Effectiveness of Dataset Synthesis: An application of Apple Detection in Orchards
Alexander van Meekeren, Maya Aghaei, Klaas Dijkstra
Application Proficiency Object Detection Model Deep Learning Based Object Dataset Synthesis Apple Detection

June 16, 2023

The Big Data Myth: Using Diffusion Models for Dataset Generation to Train Deep Detection Models
Roy Voetman, Maya Aghaei, Klaas Dijkstra
Deep Learning Diffusion Model Synthetic Data Object Detection Model Deep Learning Based Object Dataset Generation

May 27, 2023

On the Importance of Backbone to the Adversarial Robustness of Object Detectors
Xiao Li, Hang Chen, Xiaolin Hu
Adversarial Attack Adversarial Robustness Object Detector Importance Aware Deep Learning Based Object Robust Object Detection Numerous Cutting Edge Backbone

April 4, 2023

BugNIST -- a Large Volumetric Dataset for Object Detection under Domain Shift
Patrick Møller Jensen, Vedrana Andersen Dahl, Carsten Gundlach, Rebecca Engberg, Hans Martin Kjer, Anders Bjorholm Dahl
Domain Shift Deep Learning Based Object Annotated Training Data Volumetric Data

Deep Learning Based Object

Papers

Open-World Object Detection with Instance Representation Learning

Performance Evaluation of Real-Time Object Detection for Electric Scooters

Automatic Defect Detection in Sewer Network Using Deep Learning Based Object Detector

SCAResNet: A ResNet Variant Optimized for Tiny Object Detection in Transmission and Distribution Towers

Object Detectors in the Open Environment: Challenges, Solutions, and Outlook

SFOD: Spiking Fusion Object Detector

EventF2S: Asynchronous and Sparse Spiking AER Framework using Neuromorphic-Friendly Algorithm

Investigating YOLO Models Towards Outdoor Obstacle Detection For Visually Impaired People

Survey on deep learning in multimodal medical imaging for cancer detection

Identifying Light-curve Signals with a Deep Learning Based Object Detection Algorithm. II. A General Light Curve Classification Framework

View Classification and Object Detection in Cardiac Ultrasound to Localize Valves via Deep Learning

Advanced Efficient Strategy for Detection of Dark Objects Based on Spiking Network with Multi-Box Detection

AI-Dentify: Deep learning for proximal caries detection on bitewing x-ray -- HUNT4 Oral Health Study

Attacking by Aligning: Clean-Label Backdoor Attacks on Object Detection

YOGA: Deep Object Detection in the Wild with Lightweight Feature Learning and Multiscale Attention

Spiking Neural Network for Ultra-low-latency and High-accurate Object Detection

Exploring the Effectiveness of Dataset Synthesis: An application of Apple Detection in Orchards

The Big Data Myth: Using Diffusion Models for Dataset Generation to Train Deep Detection Models

On the Importance of Backbone to the Adversarial Robustness of Object Detectors

BugNIST -- a Large Volumetric Dataset for Object Detection under Domain Shift