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13 papers in the last four weeks, up 160% on the four weeks before. 0.1% of all new papers.

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  1. Beyond Leaderboard Scores: A Deployment-Focused Protocol for Interpretable Tracking Evaluation in Pedestrian-Centric Environments

    Oct 1, 2026Dominik Wojcikiewicz, Diego Paez-GranadosPedestrian DetectionPedestrian

    Digital Health Care and Rehabilitation, Swiss Paraplegic Research (SPF), Switzerland

  2. Routing Probes Can Improve Without New Information: An Exact-Null Audit of Uncertainty Beyond Model Outputs

    Sep 30, 2026Wenhao Liang, Lin Yue, Wei Emma Zhang +3Detection PerformanceModel Checkpoints

  3. Raw Imagery Impacting Your AI: Should You Care?

    Sep 29, 2026Adrien Dorise, Marjorie Bellizzi, Stéphane MayVisual DegradationShip Detection

    CNES, Toulouse, France · IRT Saint-Exupéry, Toulouse, France

  4. Losing the name before the box: measuring and repairing what narrow fine-tuning costs a detector outside its deployment vocabulary

    Sep 29, 2026Trung Minh Bui, Jongsul Moon, YoungOuk Kim +2Detection PerformanceIn-Domain Accuracy

    Intelligent Robotics Research Center, Korea Electronics Technology Institute, Seongnam, 13449, Republic of Korea.

  5. A Multi-Dataset Benchmark of YOLO-Based Weed Detection in Precision Agriculture

    Sep 27, 2026Hristina Zdraveska, Vlatko Spasev, Ivica Dimitrovski +2Leaf Disease ClassificationYolo26

    Faculty of Computer Science and Engineering, University Ss Cyril and Methodius, Rudzer Boshkovikj 16, P.O. 393, Skopje, 1000, North Macedonia

  6. Printability-Constrained Adversarial Decals for Near-Nadir Aerial Perception: Measured Ink Gamuts, Nested Realism Constraints, and a Physical-World Bound

    Sep 27, 2026Sandesh Shrestha, K. T. Yasas Mahima, Asanka G. PereraAerial DatasetDetection Performance

    Industrial Systems Engineering (ISE), Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand

  7. Not All Confusion Is Equal: A Source-Aware Uncertainty Diagnosis for Fine-Grained Aircraft Detection

    Sep 24, 2026Hai Huang, Helmut MayerDetection PerformanceDrone Detection

    Chair of Visual Computing, Institute for Applied Computer Science, Universität der Bundeswehr München, Germany

  8. Assessing the Impact of Fleet Size on Crowdsourced Mapping Using a Dissimilarity Measure

    Sep 24, 2026Marie-Ngoïe Badibanga Kalenda, Philippe Bonnifait, Marie-Anne MittetLane-Level Map GenerationTraffic Sign Recognition

    Heudiasyc · Université de Technologie de Compiègne, CNRS, Heudiasyc, Renault, Guyancourt, France · Université de Technologie de Compiègne, CNRS, Heudiasyc, France +1

  9. Human-in-the-Loop Geospatial Annotation for Rapid Dataset Construction in Field-Deployed UAV Systems

    Sep 23, 2026Morgan Masters, Adam Korycki, Nikolaas Bender +4Local Camera PoseVision Sensors

    Department of Electrical and Computer Engineering, University of California Santa Cruz

  10. Can We Predict Anomaly Detection Performance from Embedding-Space Geometry?

    Sep 22, 2026Kevin Wilkinghoff, Zheng-Hua TanArea Under The Receiver Operating Characteristic CurveDetection Performance

    Department of Electronic Systems, Aalborg University, Denmark · Pioneer Centre for Artificial Intelligence, Denmark

  11. What a gated sensing pipeline never looks at: bandwidth reduction and the misses behind it

    Sep 14, 2026Raghu Venkat, Tricha AnjaliDetection PerformanceObject Detection

    Numberz.ai Inc., Alpharetta, GA

  12. PATH: Continuous Target Sensing among Autonomous Cooperative Drones

    Sep 14, 2026Heegyeong Kim, Alice James, Avishkar Seth +4Multi-Drone CoordinationHandoff

    School of Computing, Macquarie University, Sydney, NSW, Australia · School of Natural Sciences, Macquarie University, Sydney, NSW, Australia

  13. Prevalence Determines Precision:Silent Contamination in Detector-Defined Datasets

    Sep 12, 2026Jia Huang, Yankai Wan, Yangjun OuPrevalenceFalse-Negative Rate

    Guanghua School of Management, Peking University · College of Artificial Intelligence, Jilin University · School of Mathematical Sciences, Peking University

  14. SafeRestore: Detector-Relative Risk Certificates for Selective Industrial Image Restoration

    Sep 3, 2026Shaoliang Yang, Jun WangImage RestorationRestoration

    Santa Clara University Santa Clara, CA 95053, USA

  15. Too Sure to Be Safe: Model Calibration for Reliable Log Anomaly Detection

    Aug 18, 2026Bin Li, Dongdong Wang, Siyang LuInterpretable Anomaly DetectionDetection Performance

    School of Cyberspace Science and Technology, Beijing Jiaotong University, Beijing, China · University of Florida, Gainesville, FL, USA · School of Computer and Technology, Beijing Jiaotong University, Beijing, China

  16. Unsupervised Anomaly Detection for Image Dataset Quality Assurance in Multi-Center Breast MRI

    Aug 17, 2026Chiara Tappermann, Steffen Renisch, Lars Ole Schwen +3Graph Anomaly DetectionDetection Performance

    Fraunhofer Institute for Digital Medicine MEVIS, Max-Von-Laue-Straße 2, Bremen, 28359, Bremen, Germany · University of Bremen, Bibliothekstraße 1, Bremen, 28359, Bremen, Germany · Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Carl-Neuberg-Str. 1, Hannover, 28359, Lower Saxony, Germany

  17. Beyond Detection Accuracy: Measuring Explanation Cost, Stability, and Utility for Resource-Aware IoT Intrusion Detection

    Aug 11, 2026Abdurrahman TolayIntrusion DetectionInternet Of Thing

    Independent Researcher, Istanbul, Türkiye

  18. Build it, Break it, Repeat: Benchmarking and improving LLM-manipulated disinformation detection in social media posts

    Aug 10, 2026Kevin Thomas, Milosz Kasprzyk, Reuel C Igbokwe Onuigbo +5Misinformation DetectionAttacker Large Language Model

    University of Sheffield, Department of Computer Science, Regent Court, 211 Portobello Street, Sheffield, S1 4DP, United Kingdom

  19. MuST-VAD: Mutual Structured Learning for Video Anomaly Detection

    Aug 7, 2026Satoshi Hashimoto, Hitoshi Nishimura, Mori KurokawaTraining-Free Video Anomaly DetectionFine-Grained Video Understanding

    KDDI Research, Inc. Fujimino, Saitama, Japan

  20. Provably Efficient Self-Calibrating Quantum Fault Tolerance

    Aug 6, 2026Weiyuan Gong, Hong-Ye HuQuantum Error CorrectionPost-Quantum Cryptography

    School of Engineering and Applied Sciences, Harvard University, Allston, MA 02134, USA · Department of Physics, Harvard University, Cambridge, MA 02138, USA

  21. Privacy-Preserving Action Recognition: Taxonomy, Methods, and Privacy-Utility Trade-offs

    Aug 5, 2026Sareer Ul Amin, Muhammad Ayaz, Muhammad Munsif +1Open-Vocabulary Action RecognitionPrivacy-Utility Trade-Offs

    Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea · College of Art and Technology, Chung-Ang University, Anseong, 17546, South Korea

  22. How Benchmarks and Evaluation Protocols Shape Conclusions in Provenance-Based Intrusion Detection

    Aug 2, 2026Lorenzo Guerra, Thomas Chapuis, Guillaume Duc +2Intrusion DetectionEvaluation Protocols

    LTCI, T´el´ecom Paris, Institut Polytechnique de Paris · Ampere Software Technology

  23. GraRe: Grasp Candidate Re-Ranking for Frozen 6-DoF Grasp Detectors

    Aug 2, 2026Jibao Yuan, Yuhui Zhao, Yinzhen Lv +4Robotic GraspingDetection Performance

    College of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan, China · Department of Engineering and Information Technology, The University of Melbourne, Parkville, Victoria 3010, Australia

  24. Impact of Dataset Composition on Embedded Real-Time UAV Wildfire Detection Using Compact YOLO Models

    Aug 1, 2026Eduardo de los Santos, Andre S. Kelbouscas, Ricardo B. Grando +1Wildfire DetectionYolo26

    Robotics and AI Lab, Technological University of Uruguay, Rivera, Uruguay

  25. Can Synthetic Data Overcome the Generalization Limits of AI-Based Flower and Pod Detection Across Cowpea Breeding Genotypes and Environments?

    Jul 30, 2026Hamid Kamangir, Jonathan Berlingeri, Earl Ranario +6Tomato DiseasesSynthetic Data

    Department of Biological and Agricultural Engineering, University of California Davis, Davis, CA, USA. · Department of Plant Science, University of California Davis, Davis, CA, USA.

  26. Actions Have Consequences: Detecting Outcome Performativity using Intervention Testing

    Jul 29, 2026Brandon Gower-Winter, Georg KremplClinical PredictionImplications

    Utrecht University 8 Hiedelberglaan, Utrecht, 3584 CS, NL

  27. Safety-Aware Cascaded Inference for Crop Damage Assessment with Controlled Error Trade-offs

    Jul 28, 2026José Thiéry Messigbédé Hagbe, Gani Kawsar Gounou, Songbian Karim ZiméPost-Disaster Damage AssessmentPrecision Agriculture

    aAfrican School of Economics, www.africanschoolofeconomics.com, Abomey Calavi, Benin

  28. Human-in-the-Loop Signature Bootstrapping for UAV Hyperspectral PFM-1 Mine Detection

    Jul 28, 2026Sagar Lekhak, Prasanna Reddy Pulakurthi, Emmett J. IentilucciHyperspectral ImageUnmanned Aerial Vehicles

    Rochester Institute of Technology, Rochester, NY 14623, USA

  29. Boundary-Seeking GAN-Augmented TabTransformer for Adversarially Robust Intrusion Detection

    Jul 17, 2026Raihan Sultan Pasha Basuki, Aliyah KurniasihIntrusion DetectionGenerative Adversarial Network

    Department of Computer Science, Universitas Ary Ginanjar, Menara 165, Cilandak No.kav 1 Lt 2 & 18, Jakarta Selatan, 12560, DKI Jakarta, Indonesia

  30. Detector Confidence Signals Presence Rather Than Occlusion in Cluttered Manipulation

    Jul 15, 2026Yuanzhi HeOcclusionDetection Performance

    School of Computer Science & Informatics, Cardiff University

  31. End-to-End Real-Time Drone-Based Person Detection Framework Using Deep Learning

    Jul 12, 2026Payel Sarmah, Ayush Ranjan, Piyush Kaushik Bhattacharyya +2Drone DetectionYolo26

    Centre for Drone Technology Indian Institute of Technology Guwahati Guwahati, India · Dept. of CSE KIIT University Bhubaneswar, India · Drone LAB National Institute of Electronics and Information Technology Bhubaneswar, India

  32. Structured Evidence Selection for Weakly Supervised Video Anomaly Detection

    Jul 11, 2026Chenglizhao Chen, Tianxiang Nan, Wen Li +4Training-Free Video Anomaly DetectionFine-Grained Video Understanding

    China University of Petroleum (East China) Qingdao, China

  33. Pixel-Precise Explainable Stress Indexing: A Semantic Segmentation Framework for Disease Severity Quantification in Field Crops

    Jul 5, 2026Raunak Kumar, Soumyashree KarLeaf Disease ClassificationPrecision Agriculture

    Centre of Studies in Resources Engineering Indian Institute of Technology Bombay Mumbai, Maharashtra, India

  34. Attention-Guided Efficientnet Architecture For Precise Criminal Identification in Surveillance Images

    Jul 3, 2026Savitha N J, Lata B TFace Recognition ModelVideo Surveillance

    Research Scholar, Department of Computer Science and Engineering, University Visvesvaraya College of Engineering (UVCE), Bangalore University, CMR Institute of Technology, Bengaluru, India · Department of Computer Science and Engineering, University Visvesvaraya College of Engineering (UVCE), Bangalore University, Bengaluru, India

  35. Can Reasoning Models Detect Changes to their Chains of Thought?

    Jun 20, 2026Sathvik Napa, Utkarsh Singh, Chengyuan Xue +2Large Reasoning ModelsChain-of-Thought Reasoning

    Johns Hopkins University

  36. MedHal-Loc: Are "Explainable-by-Architecture" Medical Hallucination Detectors Faithful Localizers? A Localization Benchmark

    Jun 19, 2026Minmin Chen, Daojian Lu, Yining Dai +2Citation Hallucination DetectionVisual Hallucinations

    Shanwei Institute of Technology, Shanwei, China · Guangdong Provincial People’s Hospital, Guangzhou, China

  37. Training-Free Metrics for Synthetic Object Detection Data: A Proxy for Detector Performance

    Jun 18, 2026Myeongseok Nam, Donghun Yeo, Seungwook KimSynthetic Image DetectionSynthetic Training Data

    GenGenAI, South Korea

  38. Beyond ROC-AUC: Operating-Point Performance Reporting for Biometric Verification

    Jun 13, 2026Ajan Ahmed, Masudul H. ImtiazBiometricsRoc-Auc

    Department of Electrical and Computer Engineering Clarkson University, Potsdam, NY, USA

  39. 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 +1Yolo26Naturalistic Driving Data

    FPT University, Ho Chi Minh City, Vietnam

  40. Differences in Detection: Explainability Where it Matters

    Jun 5, 2026Johannes Theodoridis, Johannes Maucher, Andreas SchillingDetection PerformanceOpen-Vocabulary Object Detection

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

  41. Attack Detection using Time Series Foundation Models

    Jun 4, 2026Sribalaji C. Anand, Anh Tung Nguyen, George J. PappasThreat DetectionTime Series Foundation Models

    University of Pennsylvania, United States · Uppsala University, Sweden

  42. To Be Multimodal or Not to Be: Query-Adaptive Audio-Visual Person Retrieval via Active Modality Detection

    Jun 4, 2026Erfan Loweimi, Mengjie Qian, Kate Knill +7Cross-ModalModalities

    University of Cambridge, UK · Southwest Jiaotong University, China · University of Surrey, UK +1

  43. veriFIRE: an Industrial Case Study in Verifying Consistency Properties for a DNN-Based Wildfire Detection System

    Jun 2, 2026Idan Refaeli, Maya Swisa, Itay Buchnik +5Neural Network VerificationWildfire Detection

    The Hebrew University of Jerusalem, Jerusalem, Israel · Elbit Systems - ISTAR & EW - Elisra L.T.D, Holon, Israel · Cornell University, Ithaca, New York, USA

  44. Shape-Prior-Based Point Cloud Completion for Single-Stage Fully Sparse 3D Object Detection

    May 30, 2026Kaizheng Wang, Mingqian Ji, Jian Yang +13D Object DetectionPoint Clouds

    School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

  45. How well does Classification Accuracy capture Concept Drift Detection Quality? An overview of Concept Drift Detection evaluation

    May 29, 2026Joanna KomorniczakDetection PerformanceNon-Stationarity

    Department of Systems and Computer Networks, Wrocław University of Science and Technology

  46. Uni-RCM: Unified Reference-guided Cross-modal Mapping for Multi-Class Anomaly Detection

    May 28, 2026Yangchen Wu, Huiqiang XieGraph Anomaly DetectionCross-Modal

    School of Information Science and Technology, Jinan University, Guangzhou, Guangdong 510632, P. R. China

  47. Causal Label Recovery in Payment Networks

    May 28, 2026Gaurav DhamaPayment NetworksDetection Performance

    Mastercard

  48. Risk Averse Alert Prioritization for IDS Using Subnormal Gaussian Fuzzy Models

    May 26, 2026Murat MoranIntrusion DetectionAlarm Fatigue

    Department of Computer Engineering, Giresun University, Türkiye

  49. Stochastic Estimation of the Layer-wise Hessian Trace for Monitoring Neural-network Training

    May 25, 2026Maxim Bolshim, Alexander KugaevskikhHessianEmpirical Risk Minimization

    ITMO University, Saint Petersburg, Russia · ITMO University, St. Petersburg, Russia

  50. Beyond Chamfer Distance: Granular Order-aware Evaluation Metric For Online Mapping

    May 21, 2026Chouaib Bencheikh Lehocine, Adam Lilja, Junsheng Fu +1Lane-Level Map GenerationMean Average Precision

    1Zenseact AB · 2Chalmers University of Technology Gothenburg, Sweden

  51. Diffuse to Detect: Bi-Level Sample Rebalancing with Pseudo-Label Diffusion for Point-Supervised Infrared Small-Target Detection

    May 20, 2026Zhu Liu, Yuanhang Yao, Ping Qian +2Infrared Small Target DetectionDense Annotation

    School of Software Technology, Dalian University of Technology, Dalian, China.

  52. ESLD (External Surrogate Latent Defense): A Latent-Space Architecture for Faster, Stronger Prompt-Injection Defense

    May 18, 2026Yash NarendraLLM Defense MechanismsMalicious Agents

    Microsoft

  53. Ensemble Monitoring for AI Control: Diverse Signals Outweigh More Compute

    May 14, 2026Eugene Koran, Yejun Yun, Samantha Tetef +2Artificial Intelligence ControlDetection Performance

    SPAR · Yale University

  54. Evidence-based Decision Modeling for Synthetic Face Detection with Uncertainty-driven Active Learning

    May 11, 2026Qingchao Jiang, Zhenxuan Hou, Zhiying Zhu +3Synthetic Image DetectionFacial Images

    Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China · School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China · College of Computer Science and Artificial Intelligence, Fudan University, Shanghai 200433, China +1

  55. Post-hoc Selective Classification for Reliable Synthetic Image Detection

    May 9, 2026Kaixiang Zheng, Jacob H. SeidmanSynthetic Image DetectionDetection Performance

    University of Waterloo · Reality Defender

  56. TRAS: An Interactive Software for Tracing Tree Ring Cross Sections

    May 8, 2026Henry Marichal, Diego Passarella, Gregory RandallForest BiomassDelineation

    Instituto de Ingeniería Eléctrica, Facultad de Ingeniería, Universidad de la República, Montevideo, Uruguay · Pento.ai, Montevideo, Uruguay · Procesos Industriales de la Madera, CENUR Noreste, Universidad de la República, Tacuarembó, Uruguay

  57. Safety-Critical Camera Reliability Monitoring for ADAS via Degradation-Aware Uncertainty Pattern Analysis

    May 6, 2026Shiva AherDegradationRoadside Cameras

    Georgia Institute of Technology, Atlanta, GA, USA.

  58. Remote SAMsing: From Segment Anything to Segment Everything

    Apr 30, 2026Osmar Luiz Ferreira de Carvalho, Osmar Abílio de Carvalho Júnior, Anesmar Olino de Albuquerque +1Remote Sensing Image SegmentationFew-Shot Segmentation

    Department of Electrical Engineering, University of Brasília, Brasília, Brazil · Department of Geography, University of Brasília, Brasília, Brazil

  59. DenseScout: Algorithm-System Co-design for Budgeted Tiny Object Selection on Edge Platforms

    Apr 28, 2026Xiong Zhouzhi, Zimo Zeng, Yi Chen +3Edge PlatformsDetection Performance

    College of Electrical Engineering, Zhejiang University, Hangzhou, China

  60. Instance Awareness of Multi-class Semantic Segmentation Loss Functions

    Apr 27, 2026Soumya Snigdha Kundu, Florian Kofler, Marina Ivory +3Amodal SegmentationMultiple Instance Learning

    1King’s College London · University of Tübingen · 3Technical University of Munich +1