Real-Time Object Detection

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4 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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Ultralytics YOLO26: Unified Real-Time End-to-End Vision Models
Jun 2, 2026Glenn Jocher, Jing Qiu, Mengyu Liu +3Open-Vocabulary Object Detection Instance Segmentation
Ultralytics
PillarDETR: YOLO-Backbone and RT-DETR Head for Real-Time 3D Object Detection
Jun 1, 2026Smit Kadvani, Shriya Gumber, Kriti Faujdar +13D ViTs Lidar-Based 3D Object Detection
Independent Researcher · University of Southern California · Illinois Institute of Technology
AI for Maritime Security: Comparative Evaluation of CNN and Vision Transformer Architectures for Maritime Object Detection
May 28, 2026Ismet Gocer, Zakirul Bhuiayn, Shakeel Ahmad +1Vision Transformer Object Detection
Southampton Solent University School of Technology and Maritime Industries Southampton, United Kingdom
SAM3-Assisted Training of Lightweight YOLO Models for Precision Pig Farming
May 25, 2026Marcos Vinicius Mendes Faria, Thiago Borges Pereira, Isabella C. F. S. Condotta +2Edge Inference Pseudo-Labeling
Coordenadoria de Inform´atica, Instituto Federal do Esp´ırito Santo (IFES), Serra, ES · Department of Animal Sciences, University of Illinois at Urbana-Champaign, USA
TinyFormer: Preserving Tiny Objects in YOLO-DETR Hybrid Real-time Detectors
May 24, 2026Jun-Wei Hsieh, Meng-Yu Kao, Ghufron Wahyu Kurniawan +1Hybrid CNN-Transformer Architectures Small Object Detection
College of Artificial Intelligence, National Yang Ming Chiao Tung University, Taiwan · 2Mitsubishi Electric Research Laboratories
YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models
May 24, 2026Chidera G. Oguine, Kanyifeechukwu J. Oguine, Obiozor M. Oguine +1Edge Inference Object Detection
University of Abuja, Nigeria · Vanderbilt University, USA · University of Notre Dame, USA
Dual-Integrated Low-Latency Single-Lens Infrared Computational Imaging for Object Detection
May 21, 2026Xuquan Wang, Guishuo Yang, Dapeng Yan +5Infrared Object Detection Computational Imaging
MOE Key Laboratory of Advanced Micro-Structured Materials, the Institute of Precision Optical Engineering, School of Physics Science and Engineering, Tongji University, and the Shanghai Frontiers Science Center of Digital Optics, Shanghai 200092, China · School of Computer Science and Artificial Intelligence, Shandong Normal University, Jinan 250358, China, and the Shandong Engineering Research Center for Multimodal Computing and Intelligent Decision Making, Shandong Normal University, Jinan 250358, China
RCGDet3D: Rethinking 4D Radar-Camera Fusion-based 3D Object Detection with Enhanced Radar Feature Encoding
May 20, 2026Weiyi Xiong, Bing ZhuCamera-Radar Fusion 3D Object Detection
School of Automation Science and Electrical Engineering, Beihang University, Beijing, P.R. China
GSA-YOLO: A High-Efficiency Framework via Structured Sparsity and Adaptive Knowledge Distillation for Real-Time X-ray Security Inspection
May 20, 2026Jiahao KongStructured Pruning Real-Time Object Detection
SDU-ANU Joint Science College, Shandong University, Weihai, 264200, China
CADENet: Condition-Adaptive Asynchronous Dual-Stream Enhancement Network for Adverse Weather Perception in Autonomous Driving
May 19, 2026Sherif Khairy, Catherine M. EliasImage Enhancement Autonomous Driving Perception
Computer Science & Engineering Department, German University in Cairo (GUC), Egypt · C-DRiVeS Lab: Cognitive Driving Research in Vehicular Systems, Cairo, Egypt
MR2-ByteTrack: CNN and Transformer-based Video Object Detection for AI-augmented Embedded Vision Sensor Nodes
May 14, 2026Luca Bompani, Manuele Rusci, Luca Benini +2Edge Inference Efficient Object Detection
Electrical, Electronic and Information Engineering (DEI), University of Bologna, Italy. · Department of Electrical Engineering (ESAT), KU Leuven, Belgium. · Integrated Systems Laboratory (IIS), ETH Zürich, Switzerland. +1
RAMS: Resource-Adaptive and Detection-Conditioned Model Switching for Embedded Edge Perception
May 14, 2026Kushal Khemani, Evan Leri, George Xu +1Adaptive Model Routing Edge Inference
NEXEDGE Research Lab
SToRe3D: Sparse Token Relevance in ViTs for Efficient Multi-View 3D Object Detection
May 13, 2026Sandro Papais, Lezhou Feng, Charles Cossette +1Multi-View 3D Object Detection Token Pruning
University of Toronto · Zoox Inc.
Pattern-Enhanced RT-DETR for Multi-Class Battery Detection
May 13, 2026Xu Zhong, Enyuan HuEfficient Object Detection Detection Transformer
Independent Researcher · Chemistry Division Brookhaven National Laboratory NY, USA
Trajectory-Aware Adaptive Inference in Object Detection Models
May 12, 2026Grigorios Papanikolaou, Ioannis Kontopoulos, Giannis Spiliopoulos +2Adaptive Inference Dynamic Neural Networks
Department of Electrical and Computer Engineering, National Technical University of Athens, Greece · Department of Product and Systems Design Engineering, University of the Aegean, Syros, Greece
TriBand-BEV: Real-Time LiDAR-Only 3D Pedestrian Detection via Height-Aware BEV and High-Resolution Feature Fusion
May 12, 2026Mohammad Khoshkdahan, Alexey VinelLidar-Based 3D Object Detection Bird's-Eye-View Representation
Karlsruhe Institute of Technology · Karlsruhe, Germany
BronchoLumen: Analysis of recent YOLO-based architectures for real-time bronchial orifice detection in video bronchoscopy
May 12, 2026Yongchao Li, Marian HimstedtMedical Imaging Medical Image Analysis
Faculty of Electrical Engineering and Computer Science, Technical University of Applied Sciences Lübeck, Mönkhofer Weg 239, Lübeck, 23562, Germany.
Increasing the Efficiency of DETR for Maritime High-Resolution Images
May 11, 2026Tinsae Yehuala, Hao Cheng, Ville LehtolaDetection Transformer Object Detection
Dept. of Earth Observation Science, ITC Faculty, University of Twente, Enschede, The Netherlands.
AnyDepth-DETR/-YOLO: Any-depth object detection with a single network
May 10, 2026Woochul Kang, Hyungseop Lee, Jiho LeeEfficient Neural Network Inference Dynamic Neural Networks
Incheon Nat’l Univ.
HyDRA Scorpion: A Cost-effective and Modular ROV for Real-Time Underwater Inspection, Intervention, and Object Detection
May 9, 2026Anika Tabassum Orchi, Md Farhan Zaman, Md Darain Khan +16Robotics Robotic Manipulation
Department of Computer Science and Engineering, United International University, United City, Madani Ave, Dhaka 1212, Bangladesh · Department of Electrical and Electronic Engineering, United International University, United City, Madani Ave, Dhaka 1212, Bangladesh
Rethinking Event-Based Object Dtection through Representation-Level Temporal Aggregation and Model-Level Hypergraph Reasoning
May 9, 2026Meisen Wang, Hao Deng, Wei Bao +5Event-Based Vision Event-Based Object Detection
1Xi’an Jiaotong University · 2Tsinghua University · 3China Mobile System Integration +1
Benchmarking ResNet Backbones in RT-DETR: Impact of Depth and Regularization under environmental conditions
May 1, 2026Pamela Barboza, Víctor Castelli, Belén Pereira +3Neural Network Generalization Detection Transformer
1, Robotics and Artificial Intelligence Laboratory, Technological University of Uruguay, Rivera, Uruguay
Real-Time Frame- and Event-based Object Detection with Spiking Neural Networks on Edge Neuromorphic Hardware: Design, Deployment and Benchmark
Apr 30, 2026Udayanga G. W. K. N. Gamage, Yan Zeng, Cesar Cadena +2Edge Inference Spiking Neural Networks
Department of Electrical and Photonics Engineering, Technical University of Denmark, Anker Engelunds Vej 1, 2800 Kongens Lyngby, Denmark · Faculty of Engineering, University of Ruhuna, Hapugala,Galle 80000, Sri Lanka · Autonomous Systems Lab, ETH zürich, Leonhardstrasse 21, 8092 Zürich, Switzerland
No Pedestrian Left Behind: Real-Time Detection and Tracking of Vulnerable Road Users for Adaptive Traffic Signal Control
Apr 28, 2026Anas Gamal Aly, Hala ElAaragIntelligent Transportation Systems Traffic Signal Control
Stetson University DeLand, Florida, USA
Resource-Constrained UAV-Based Weed Detection for Site-Specific Management on Edge Devices
Apr 25, 2026Linyuan Wang, Haibo Yao, Te-Ming Tseng +4Agricultural Remote Sensing Weed Detection
Department of Agricultural and Biological Engineering, Mississippi State University, Mississippi State, MS, USA · USDA-ARS, Genetics and Sustainable Agriculture Research Unit, Mississippi State, MS, USA · Department of Plant and Soil Sciences, Mississippi State University, Mississippi State, MS, USA +2
Attention-Augmented YOLOv8 with Ghost Convolution for Real-Time Vehicle Detection in Intelligent Transportation Systems
Apr 22, 2026Syed Sajid Ullah, Muhammad Zunair Zamir, Ahsan Ishfaq +1Intelligent Transportation Systems Object Detection
School of Energy and Electrical Engineering, Chang’an University, Xi’an, China · School of Information Engineering, Chang’an University, Xi’an, China
Optimizing Data Augmentation for Real-Time Small UAV Detection: A Lightweight Context-Aware Approach
Apr 21, 2026Amir Zamani, Zeinab AbediniData Augmentation Small Object Detection
Comprehensive University of the Islamic Revolution · Department of Computer Engineering · Tehran, Iran +1
Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention
Mar 6, 2026Haiqing Hao, Zhipeng Sui, Rong Zou +4Efficient Object Detection Linear Attention
State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, China · Robotics and Perception Group, University of Zurich, Zurich, Switzerland · ShanghaiTech University, Shanghai, China
CollabOD: Collaborative Multi-Backbone with Cross-scale Vision for UAV Small Object Detection
Mar 6, 2026Xuecheng Bai, Yuxiang Wang, Chuanzhi Xu +3Remote Sensing Small Object Detection Small Object Detection
Aviation Traffic Control Technology (SHENZHEN) Co., Ltd., Shenzhen, China · The University of Sydney, NSW, Australia · Research Institute of Traffic Control Technology Co., Ltd., Beijing, China +1
YolovN-CBi: A Lightweight and Efficient Architecture for Real-Time Detection of Small UAVs
Dec 19, 2025Ami Pandat, Punna Rajasekhar, Gopika Vinod +1Small Object Detection Object Detection
Homi Bhabha National Institute, Mumbai, 400094, Maharashtra, India. · Bhabha Atomic Research Center, Mumbai, 400094, Maharashtra, India.

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Ultralytics YOLO26: Unified Real-Time End-to-End Vision Models

Glenn Jocher, Jing Qiu, Mengyu Liu, Shuai Lyu+2

Ultralytics

Open-Vocabulary Object Detection Instance Segmentation Efficient Object Detection Object Detection Real-Time Object Detection

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Real-time vision demands models that are accurate, efficient, and simple to deploy across diverse hardware. The YOLO family has become widely deployed for this reason, yet most YOLO detectors still rely on non-maximum suppression at inference, carry heavy detection heads due to Distribution Focal Loss, require long training schedules, and can leave the smallest objects without positive label assignments. We present Ultralytics YOLO26, a unified real-time vision model family that addresses these limitations through coordinated architecture and training advances. YOLO26 uses a dual-head design for native NMS-free end-to-end inference and removes DFL entirely, yielding a lighter head with unconstrained regression range. Its training pipeline combines MuSGD, a hybrid Muon-SGD optimizer adapted from large language model training; Progressive Loss, which shifts supervision toward the inference-time head; and STAL, a label assignment strategy that guarantees positive coverage for small objects. Beyond detection, YOLO26 introduces task-specific head and loss designs for instance segmentation, pose estimation, and oriented detection, producing consistent gains across tasks and scales. The family spans five scales (n/s/m/l/x) and supports detection, instance segmentation, pose estimation, classification, and oriented detection in a single pipeline, with an open-vocabulary extension, YOLOE-26, for text-, visual-, and prompt-free inference. Across all scales, YOLO26 achieves 40.9-57.5 mAP on COCO at 1.7-11.8 ms T4 TensorRT latency, advancing the accuracy-latency Pareto front over prior real-time detectors, while YOLOE-26x reaches 40.6 AP on LVIS minival under text prompting. Code and models are available at https://github.com/ultralytics/ultralytics.

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