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. FruitProM-V2: Robust Probabilistic Maturity Estimation and Detection of Fruits and Vegetables

    Apr 28, 2026Rahul Harsha Cheppally, Sidharth Rai, Sudan Baral +2Agricultural Image AnalysisObject Detection

  2. Real-time windrow detection from onboard tractor sensors for automated following

    Apr 27, 2026Lorenz Gunreben, Nico Heider, Sebastian Zürner +2Object DetectionAgricultural Robotics

  3. BMD-45: A Large-Scale CCTV Vehicle Detection Dataset for Urban Traffic in Developing Cities

    Apr 27, 2026Akash Sharma, Chinmay Mhatre, Sankalp Gawali +8Distribution ShiftObject Detection

  4. Caries DETR: Tooth Structure-aware Prior and Lesion-aware Dynamic Loss Refinement for DETR Based Caries Detection

    Apr 26, 2026Xuefen Liu, Xinquan Yang, Mianjie Zheng +5Medical ImagingMedical Image Analysis

  5. Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection

    Apr 25, 2026Sanghoon Lee, Geon Lee, Hyekang Park +1Open-Vocabulary Object DetectionProbability Calibration

  6. Hard to See, Hard to Label: Generative and Symbolic Acquisition for Subtle Visual Phenomena

    Apr 24, 2026Renjith Prasad, Rishabh Sharma, Andrew E. Shao +8Industrial Anomaly DetectionActive Learning

  7. Transferable Physical-World Adversarial Patches Against Pedestrian Detection Models

    Apr 24, 2026Shihui Yan, Ziqi Zhou, Yufei Song +3Adversarial Patch AttacksTransfer-Based Adversarial Attacks

  8. Railway Artificial Intelligence Learning Benchmark (RAIL-BENCH): A Benchmark Suite for Perception in the Railway Domain

    Apr 24, 2026Annika Bätz, Pavel Klasek, Seo-Young Ham +3Visual OdometryObject Detection

  9. VFM4^{4}SDG: Unveiling the Power of VFMs for Single-Domain Generalized Object Detection

    Apr 23, 2026Yupeng Zhang, Ruize Han, Ningnan Guo +3Detection TransformerCross-Domain Generalization

  10. UHR-DETR: Efficient End-to-End Small Object Detection for Ultra-High-Resolution Remote Sensing Imagery

    Apr 23, 2026Jingfang Li, Haoran Zhu, Wen Yang +4Remote Sensing Small Object DetectionSmall Object Detection

  11. A Probabilistic Framework for Improving Dense Object Detection in Underwater Image Data via Annealing-Based Data Augmentation

    Apr 23, 2026Eleanor Wiesler, Trace BaxleySynthetic Data AugmentationData Augmentation

  12. 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 SystemsObject Detection

  13. RefAerial: A Benchmark and Approach for Referring Detection in Aerial Images

    Apr 22, 2026Guyue Hu, Hao Song, Yuxing Tong +5Object DetectionAerial Object Detection

  14. Fourier Series Coder: A Novel Perspective on Angle Boundary Discontinuity Problem for Oriented Object Detection

    Apr 22, 2026Minghong Wei, Pu Cao, Zhihao Chen +3Object Detection

  15. RareSpot+: A Benchmark, Model, and Active Learning Framework for Small and Rare Wildlife in Aerial Imagery

    Apr 21, 2026Bowen Zhang, Jesse T. Boulerice, Charvi Mendiratta +4Remote Sensing Small Object DetectionSmall Object Detection

  16. HMR-Net: Hierarchical Modular Routing for Cross-Domain Object Detection in Aerial Images

    Apr 20, 2026Pourya Shamsolmoali, Masoumeh Zareapoor, Michael Felsberg +3Open-Vocabulary Object DetectionAdaptive Model Routing

  17. SemLT3D: Semantic-Guided Expert Distillation for Camera-only Long-Tailed 3D Object Detection

    Apr 20, 2026Hao Vo, Khoa Vo, Thinh Phan +5Autonomous Driving Perception3D Object Detection

  18. Domain-Specialized Object Detection via Model-Level Mixtures of Experts

    Apr 20, 2026Svetlana Pavlitska, Malte Stüven, Beyza Keskin +1Object DetectionMixture-of-Experts Models

  19. Autonomous Unmanned Aircraft Systems for Enhanced Search and Rescue of Drowning Swimmers: Image-Based Localization and Mission Simulation

    Apr 20, 2026Sascha Emanuel Zell, Toni Schneidereit, Armin Fügenschuh +1Aerial RoboticsObject Detection

  20. Class-specific diffusion models improve military object detection in a low-data domain

    Apr 20, 2026Ella P. Fokkinga, Jan Erik van Woerden, Thijs A. Eker +4Synthetic Data AugmentationDiffusion Model Guidance

  21. Exploring Boundary-Aware Spatial-Frequency Fusion for Camouflaged Object Detection

    Apr 20, 2026Song Yu, Yang Hu, Haokang Ding +2Frequency-Domain Feature LearningObject Detection

  22. DGSSM: Diffusion guided state-space models for multimodal salient object detection

    Apr 19, 2026Suklav Ghosh, Arijit Sur, Pinaki MitraDiffusion Model GuidanceSalient Object Detection

  23. StomaD2: An All-in-One System for Intelligent Stomatal Phenotype Analysis via Diffusion-Based Restoration Detection Network

    Apr 18, 2026Quanling Zhao, Meng'en Qin, Yanfeng Sun +2Agricultural Image AnalysisPlant Phenotyping

  24. Tri-Modal Fusion Transformers for UAV-based Object Detection

    Apr 17, 2026Craig Iaboni, Pramod AbichandaniInfrared Object DetectionMultimodal Object Detection

  25. Dental Panoramic Radiograph Analysis Using YOLO26 From Tooth Detection to Disease Diagnosis

    Apr 17, 2026Khawaja Azfar Asif, Rafaqat Alam KhanMedical ImagingMedical Image Segmentation

  26. Integrating Object Detection, LiDAR-Enhanced Depth Estimation, and Segmentation Models for Railway Environments

    Apr 16, 2026Enrico Francesco Giannico, Federico Nesti, Gianluca D'Amico +5Monocular Depth EstimationCamera-LiDAR Fusion

  27. PIEDet: Prototype-Driven Intrinsically Explainable Object Detection

    Apr 15, 2026Jianlin Xiang, Linhui Dai, Xue Yang +2Explainable Object DetectionObject Detection

  28. A Multi-Stage Optimization Pipeline for Bethesda Cell Detection in Pap Smear Cytology

    Apr 15, 2026Martin Amster, Camila María PolottoObject DetectionComputational Pathology