Object Detection

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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. Context-Aware Feature-Fusion for Co-occurring Object Detection in Autonomous Driving

    Jun 10, 2026Binay Kumar Singh, Niels Da Vitoria LoboSmall Object DetectionAutonomous Driving Perception

    Department of Computer Science University of Central Florida Orlando, USA

  2. A Turbo-Inference Strategy for Object Detection and Instance Segmentation

    Jun 10, 2026Zhen Zhao, Gang Zhang, Xiaolin Hu +1Instance SegmentationObject Detection

    School of Technology, Beijing Forestry University, Beijing 100091, China · Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China · Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China +1

  3. Performance Analysis of YOLOv11 and YOLOv8 for Mixed Traffic Object Detection under Adverse Weather Conditions in Developing Countries

    Jun 10, 2026Quoc Thuan Nguyen, Ha Anh Vu, Ngo Dang Thanh Ngan +1Energy-Efficient MLAutonomous Driving Perception

    FPT University, Ho Chi Minh City, Vietnam

  4. Battery detection of XRay images using transfer learning

    Jun 10, 2026Nermeen Abou Baker, David Rohrschneider, Uwe HandmannTransfer LearningObject Detection

    1- Ruhr West University of Applied Sciences - Dept of Computer Science Lutzowstrassse 5, 46236 Bottrop - Germany

  5. Democratising Camera Trap AI: An Open-Source Model for Detecting UK Mammals

    Jun 9, 2026Paul Fergus, Philip Stephens, Russell A. Hill +8You Only Look OnceObject Detection

    1Liverpool John Moores University, Byrom Street, Liverpool, L3 3AF, UK. · 2Durham University, Stockton Road, Durham, DH1 3LE. · 3MammalWeb, c/o Durham Wildlife Trust, Houghton-le-Spring, DH4 6PU +6

  6. A Multimodal RGB and Events Dataset for Hand Detection in First-Person View

    Jun 9, 2026Bharghav Kota, Yulia SandamirskayaEvent-Based VisionEvent-Based Object Detection

    Zurich University of Applied Sciences, Wädenswil, Switzerland · Zurich University of Applied Sciences Wädenswil, Switzerland

  7. ZODS-RS -- Zero-training Oriented Detection & Segmentation for Remote Sensing

    Jun 9, 2026Zuan Gu, Tianhan Gao, Langxu ZhaoRemote Sensing Small Object DetectionRemote Sensing Image Segmentation

    Northeastern University, China

  8. Analyzing Training-Free Corruption Detection for Object Detection Datasets

    Jun 9, 2026Christian Sieberichs, Simon Geerkens, Thomas Waschulzik +2Object Detection

    University of Applied Sciences Düsseldorf · Siemens Mobility GmbH · Goethe University Frankfurt

  9. Time-frequency localization of bird calls in dense soundscapes

    Jun 9, 2026Simen Hexeberg, Fanghui Tong, Hari Vishnu +1Sound Event DetectionObject Detection

    Tropical Marine Science Institute, National University of Singapore, Singapore · Dept. of Electrical and Computer Engineering, National University of Singapore, Singapore · School of Computing, National University of Singapore, Singapore

  10. Adversarial Attack and Disturbance Detection by Hadamard-Coded Output Representations for Object Detection and Semantic Segmentation

    Jun 8, 2026Lucas Görnhardt, Timo Bartels, Niklas Schwarz +1Adversarial PerturbationsObject Detection

    Technische Universität Braunschweig, Germany

  11. ContextShift: A Controlled Benchmark for Context Dependence in Object Detection

    Jun 8, 2026Dan Zlotnikov, Alex Lazarovich, Ohad Ben-ShaharObject Detection

    Ben-Gurion University of the Negev, Israel

  12. ExDet: Open-Domain Open-Vocabulary Detection with Cross-modal Extrapolation and Rectification

    Jun 8, 2026Yupeng Zhang, Yuzhong Feng, Ruize Han +3Open-Vocabulary Object DetectionObject Detection

    College of Intelligence and Computing, Tianjin University, Tianjin, China · Faculty of Computer Science and Artificial Intelligence, Shenzhen University of Advanced Technology, Shenzhen, China · School of Artificial Intelligence, Nanchang University, Jiangxi, China

  13. Proposal Refinement for Few-Shot Object Detection

    Jun 8, 2026Yuan Zeng, Bin Song, Jie Guo +1Class-Imbalanced LearningFew-Shot Object Detection

    State Key Laboratory of Integrated Services Networks, Xidian University, 710071, China

  14. Semi-supervised Source Detection in Astronomical Images: New Benchmark and Strong Baseline

    Jun 8, 2026Longhan Feng, Zihuang Cao, Ali Luo +5Object DetectionSemi-Supervised Learning

    School of Software Dalian University of Technology Dalian, China · National Astronomical Observatories Chinese Academy of Sciences Beijing, China · Research Institute of Highway Ministry of Transport Beijing, China

  15. CAMF-Det: Closure-Aware Multimodal Fusion for LiDAR-Camera 3D Object Detection on UAV Platforms

    Jun 8, 2026Yanze Jiang, Yanfeng Gu, Xian LiLidar-Based 3D Object DetectionMultimodal Robustness

    School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China

  16. Distortion-Aware PETR for BEV Object Detection with Mixed Pinhole-Fisheye Cameras

    Jun 7, 2026Xiangzhong Liu3D ViTsAutonomous Driving Perception

    Machine Learning Group, fortiss GmbH, Guerickestraße 25, 80805 Munich, Germany

  17. Differences in Detection: Explainability Where it Matters

    Jun 5, 2026Johannes Theodoridis, Johannes Maucher, Andreas SchillingPairwise ComparisonObject Detection

    University of T ubingen · Institute for Applied AI · Hochschule der Medien Stuttgart

  18. CL-CLIP: CLIP-Based Continual Learning Framework with Cost-Volume Category Decoupling for Object Detection

    Jun 5, 2026Zihan Liu, Yuguang Yang, Shengjie Su +5VLM AdaptationContinual Object Detection

    National College for Excellent Engineers, Beihang University · School of Electronic Information Engineering, Beihang University · AI Research, Qihoo 360 +5

  19. Real-Time Threat Detection from Surveillance Cameras using Machine Learning

    Jun 4, 2026Gajendra Mandal, J. P. Patra, Priyansh MahantObject DetectionReal-Time Object Detection

    Department of Computer Science & Engineering Chhattisgarh Swami Vivekanand Technical University, Bhilai, India

  20. Attention-Guided Autoencoder Fusion for Insulator Defect Detection Using UAV Transmission-Line Imaging

    Jun 3, 2026Malak Allam, Khaled Shaban, Ali HamdiIndustrial InspectionObject Detection

    Faculty of Computer Science MSA University Giza, Egypt · Department of Computer Science and Engineering Qatar University Doha, Qatar

  21. Real-Time Industrial Defect Detection on Edge Hardware Using Fine-Tuned YOLOv8: A Systematic Benchmark on the NEU Surface Defect Database and MVTec AD with Automotive & Battery Manufacturing Extensions

    Jun 3, 2026Emmanuel Ezeji Somtochukwu, Nitesh RijalEdge InferenceIndustrial Inspection

    Zema AI Labs, Abuja, Nigeria

  22. Instance-Level Post Hoc Uncertainty Quantification in Object Detection

    Jun 3, 2026Chongzhe Zhang, Zifan Zeng, Qunli Zhang +2Uncertainty QuantificationAutonomous Driving Perception

    RAMS Lab, Huawei Heisenberg Research Center, Munich, Germany · Technische Universität Berlin, Berlin, Germany · Technische Universität München, Munich, Germany

  23. HYolo: An Intelligent IoT-Based Object Detection System Using Hypergraph Learning

    Jun 3, 2026Isha Abid, Fawad Khan, Muhammad Khuram ShahzadYou Only Look OnceObject Detection

    National University of Sciences and Technology (NUST), Sector H-12, Islamabad, 44000, Pakistan

  24. FindIt: A Format-Informed Visual Detection Benchmark for Generalist Multimodal LLMs

    Jun 2, 2026Eshika Khandelwal, Jingjing Pan, Mingfang Zhang +3Multimodal GroundingVideo Object Detection

    Tuebingen AI Center, University of Tuebingen · Woven by Toyota, Inc., Tokyo, Japan · Toyota Motor Europe, Brussels, Belgium

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

    Jun 2, 2026Glenn Jocher, Jing Qiu, Mengyu Liu +3Open-Vocabulary Object DetectionInstance Segmentation

    Ultralytics

  26. Learned Non-Maximum Suppression for 3D Object Detection

    Jun 2, 2026Timo Osterburg, Stefan Schütte, Torsten BertramLidar-Based 3D Object Detection3D Object Detection

    Institute of Control Theory and Systems Engineering, TU Dortmund University, Germany.

  27. Tiny Collaborative Inference for Occlusion-Robust Object Detection

    Jun 1, 2026Chieh-Tung Cheng, Mustafa Aslanov, Eiman KanjoEdge InferenceEfficient Object Detection

    Imperial College London, United Kingdom · Nottingham Trent University, United Kingdom

  28. Cross-Domain Dead Tree Detection via Knowledge Distillation in Aerial Imagery

    Jun 1, 2026Anis Ur Rahman, Mete Ahishali, Einari Heinaro +1Remote Sensing Image UnderstandingCross-Domain Transfer Learning

    CSC – IT Center for Science Ltd., Espoo, Finland · Department of Forest Sciences, University of Helsinki · KOKO Forest Ltd. +1

  29. Train, Test, Re-evaluate: Schedule-Sensitive Evaluation of Generative Data for Hand Detection

    Jun 1, 2026Atmika Bhardwaj, Silvia Vock, Nico SteckhanSynthetic-to-Real Domain AdaptationSynthetic Data Augmentation

    Federal Institute for Occupational Safety and Health (BAuA), Germany

  30. Collaborative Space Object Detection with Multi-Satellite Viewpoints in LEO Constellations

    Jun 1, 2026Xingyu Qu, Wenxuan Zhang, Peng HuMulti-View LearningMulti-View 3D Object Detection

    Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, Canada · Department of Electrical and Computer Engineering, Queen’s University, Kingston, Canada