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Papers for “object detection”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

TitleAuthorsYearSource
Simplifying Source-Free Domain Adaptation for Object Detection: Effective Self-Training Strategies and Performance InsightsYan Hao, Florent Forest, Olga Fink2024arxiv 2407.07586
A systematic study of the foreground-background imbalance problem in deep learning for object detectionHanxue Gu, Haoyu Dong, Nicholas Konz2023arxiv 2306.16539
CIS-BA: Continuous Interaction Space Based Backdoor Attack for Object Detection in the Real-WorldShuxin Zhao, Bo Lang, Nan Xiao2025arxiv 2512.14158
Towards Robust Optical-SAR Object Detection under Missing Modalities: A Dynamic Quality-Aware Fusion FrameworkZhicheng Zhao, Yuancheng Xu, Andong Lu2025arxiv 2512.22447
SFFNet: Synergistic Feature Fusion Network With Dual-Domain Edge Enhancement for UAV Image Object DetectionWenfeng Zhang, Jun Ni, Yue Meng2026arxiv 2604.03176
CAM3DNet: Comprehensively mining the multi-scale features for 3D Object Detection with Multi-View CamerasMingxi Pang, Dingheng Wang, Zekun Li2026arxiv 2604.17024
Explaining the Ambiguity of Object Detection and 6D Pose From Visual DataFabian Manhardt, Diego Martin Arroyo, Christian Rupprecht2018arxiv 1812.00287
Global Clipper: Enhancing Safety and Reliability of Transformer-based Object Detection ModelsQutub Syed Sha, Michael Paulitsch, Karthik Pattabiraman2024arxiv 2406.03229
Evaluating SAM2's Role in Camouflaged Object Detection: From SAM to SAM2Lv Tang, Bo Li2024arxiv 2407.21596
Efficiently Collecting Training Dataset for 2D Object Detection by Online Visual FeedbackTakuya Kiyokawa, Naoki Shirakura, Hiroki Katayama2023arxiv 2304.04901
ReAFFPN: Rotation-equivariant Attention Feature Fusion Pyramid Networks for Aerial Object DetectionChongyu Sun, Yang Xu, Zebin Wu2022arxiv 2210.08715
A Taught-Obesrve-Ask (TOA) Method for Object Detection with Critical SupervisionChi-Hao Wu, Qin Huang, Siyang Li2017arxiv 1711.01043
Falling Things: A Synthetic Dataset for 3D Object Detection and Pose EstimationJonathan Tremblay, Thang To, Stan Birchfield2018arxiv 1804.06534
A Robot Localization Framework Using CNNs for Object Detection and Pose EstimationLukas Hoyer, Christoph Steup, Sanaz Mostaghim2018arxiv 1810.01665
ABRA: Teleporting Fine-Tuned Knowledge Across Domains for Open-Vocabulary Object DetectionMattia Bernardi, Chiara Cappellino, Matteo Mosconi2026arxiv 2603.12409
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded SystemsXiaofan Zhang, Haoming Lu, Cong Hao2019arxiv 1909.09709
Mitigating the Impact of Prominent Position Shift in Drone-based RGBT Object DetectionYan Zhang, Wen Yang, Chang Xu2025arxiv 2502.09311
Real-Time Object Detection and Localization in Compressive Sensed Video on Embedded HardwareYeshwanth Ravi Theja Bethi, Sathyaprakash Narayanan, Venkat Rangan2019arxiv 1912.08519
A Multi Camera Unsupervised Domain Adaptation Pipeline for Object Detection in Cultural Sites through Adversarial Learning and Self-TrainingGiovanni Pasqualino, Antonino Furnari, Giovanni Maria Farinella2022arxiv 2210.00808
The Why, When, and How to Use Active Learning in Large-Data-Driven 3D Object Detection for Safe Autonomous Driving: An Empirical ExplorationRoss Greer, Bj\ork Antoniussen, Mathias V. Andersen2024arxiv 2401.16634