Overview

Object detection asks models to identify what objects are present and where they appear, usually by predicting labeled bounding boxes in images or video. Common approaches include fast one-stage CNN detectors such as YOLO, proposal-based Faster R-CNN, and end-to-end transformer detectors such as DETR; feature pyramids and attention help handle objects at different scales. Work also explores oriented and 3D detection, sensor fusion, open-vocabulary recognition, and learning with limited or changing labels, with COCO, VisDrone, DOTA, KITTI, and nuScenes among the benchmarks used. A central challenge is transferring strong benchmark results to small, occluded, or unfamiliar objects and real-world conditions while keeping models efficient and evaluations reliable despite incomplete annotations.

Latest papers

CardsList

624 papers51 papers in the last four weeks, down 25% on the four weeks before. 0.3% of all new papers.

  1. A Robust Deep Learning Framework for Bangla License Plate Recognition Using YOLO and Vision-Language OCR

    Mar 10, 2026Nayeb Hasin, Md. Arafath Rahman Nishat, Mainul Islam +2Automatic License Plate RecognitionObject Detection

  2. RiO-DETR: DETR for Real-time Oriented Object Detection

    Mar 10, 2026Zhangchi Hu, Yifan Zhao, Yansong Peng +8Object DetectionDetection Transformer

  3. YOLO-NAS-Bench: A Surrogate Benchmark with Self-Evolving Predictors for YOLO Architecture Search

    Mar 10, 2026Zhe Li, Xiaoyu Ding, Jiaxin Zheng +1Neural Architecture SearchObject Detection

  4. Multi-model approach for autonomous driving: A comprehensive study on traffic sign-, vehicle- and lane detection and behavioral cloning

    Mar 10, 2026Kanishkha Jaisankar, Pranav M. Pawar, Diana Susan Joseph +4Lane DetectionAutonomous Driving Perception

  5. Bridging Object Detection and Segmentation with Polygon Detection Transformers

    Mar 10, 2026Jiacheng Sun, Jiaqi Lin, Wenlong Hu +8Object DetectionDetection Transformer

  6. Distributed Convolutional Neural Networks for Object Recognition

    Mar 10, 2026Liang SunConvolutional Neural NetworksOne-Class Classification

  7. Beyond Hungarian: Match-Free Supervision for End-to-End Object Detection

    Mar 9, 2026Shoumeng Qiu, Xinrun Li, Yang LongObject DetectionDetection Transformer

  8. Evaluating Synthetic Data for Baggage Trolley Detection in Airport Logistics

    Mar 8, 2026Abdeldjalil Taibi, Mohmoud Badlis, Amina Bensalem +2Synthetic Data EvaluationObject Detection

  9. NuNext: Reframing Nucleus Detection as Next-Point Detection

    Mar 7, 2026Zhongyi Shui, Honglin Li, Xiaozhong Ji +7Computational PathologyObject Detection

  10. PaQ-DETR: Learning Pattern and Quality-Aware Dynamic Queries for Object Detection

    Mar 6, 2026Zhengjian Kang, Jun Zhuang, Kangtong Mo +3Object DetectionDetection Transformer

  11. Towards Driver Behavior Understanding: Weakly-Supervised Risk Perception in Driving Scenes

    Mar 6, 2026Nakul Agarwal, Yi-Ting Chen, Behzad DariushAutonomous Driving DatasetsObject Detection

  12. Video-based Locomotion Analysis for Fish Health Monitoring

    Mar 5, 2026Timon Palm, Clemens Seibold, Anna Hilsmann +1AquacultureAnimal Behavior Analysis

  13. Digital Twin Driven Textile Classification and Foreign Object Recognition in Automated Sorting Systems

    Mar 5, 2026Serkan Ergun, Tobias Mitterer, Hubert ZanglClassificationIndustrial Robotics

  14. A 360-degree Multi-camera System for Blue Emergency Light Detection Using Color Attention RT-DETR and the ABLDataset

    Mar 5, 2026Francisco Vacalebri-Lloret, Lucas Banchero, Jose J. Lopez +1Object DetectionAutonomous Driving Perception

  15. RMK RetinaNet: Rotated Multi-Kernel RetinaNet for Robust Oriented Object Detection in Remote Sensing Imagery

    Mar 5, 2026Huiran SunObject DetectionAerial Object Detection

  16. One-Shot Badminton Shuttle Detection for Mobile Robots

    Mar 4, 2026Florentin Dipner, William Talbot, Turcan Tuna +2Object DetectionRobotic Perception

  17. Adaptive Enhancement and Dual-Pooling Sequential Attention for Lightweight Underwater Object Detection with YOLOv10

    Mar 4, 2026Md. Mushibur Rahman, Umme Fawzia Rahim, Enam Ahmed TaufikObject DetectionUnderwater Object Detection

  18. Tracking Feral Horses in Aerial Video Using Oriented Bounding Boxes

    Mar 4, 2026Saeko Takizawa, Tamao Maeda, Shinya Yamamoto +1Multi-Object TrackingObject Detection

  19. From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes

    Mar 3, 2026Qifan Zhang, Sai Haneesh Allu, Jikai Wang +2Instance SegmentationObject Detection

  20. IoUCert: Robustness Verification for Anchor-based Object Detectors

    Mar 3, 2026Benedikt Brückner, Alejandro J. Mercado, Yanghao Zhang +2Certified RobustnessObject Detection

  21. ForestPersons: A Large-Scale Dataset for Under-Canopy Missing Person Detection

    Mar 3, 2026Deokyun Kim, Jeongjun Lee, Jungwon Choi +6Object DetectionSearch-and-Rescue Robotics

  22. physfusion: A Transformer-based Dual-Stream Radar and Vision Fusion Framework for Open Water Surface Object Detection

    Mar 2, 2026Yuting Wan, Liguo Sun, Jiuwu Hao +2Camera-Radar FusionObject Detection

  23. GroupEnsemble: Efficient Uncertainty Estimation for DETR-based Object Detection

    Mar 2, 2026Yutong Yang, Katarina Popović, Julian Wiederer +3Uncertainty QuantificationObject Detection

  24. Better Matching, Less Forgetting: A Quality-Guided Matcher for Transformer-based Incremental Object Detection

    Mar 2, 2026Qirui Wu, Shizhou Zhang, De Cheng +4Object DetectionClass-Incremental Learning

  25. Open-Vocabulary vs Supervised Learning Methods for Post-Disaster Visual Scene Understanding

    Mar 1, 2026Anna Michailidou, Georgios Angelidis, Vasileios Argyriou +2Object DetectionOpen-Vocabulary Object Detection

  26. RaUF: Learning the Spatial Uncertainty Field of Radar

    Mar 1, 2026Shengpeng Wang, Kuangyu Wang, Wei WangmmWave Radar SensingAutonomous Driving Perception

  27. Towards Khmer Scene Document Layout Detection

    Feb 28, 2026Marry Kong, Rina Buoy, Sovisal Chenda +3Document Layout AnalysisDocument Image Understanding