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Papers for “object detection”

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

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TitleAuthorsYearSource
Data-Free Model Extraction Attacks in the Context of Object DetectionHarshit Shah, Aravindhan G, Pavan Kulkarni2023arxiv 2308.05127
Gradient-based Maximally Interfered Retrieval for Domain Incremental 3D Object DetectionBarza Nisar, Hruday Vishal Kanna Anand, Steven L. Waslander2023arxiv 2304.14460
AuxDepthNet: Real-Time Monocular 3D Object Detection with Depth-Sensitive FeaturesRuochen Zhang, Hyeung-Sik Choi, Dongwook Jung2025arxiv 2501.03700
A Simple Background Augmentation Method for Object Detection with Diffusion ModelYuhang Li, Xin Dong, Chen Chen2024arxiv 2408.00350
Rethinking Open-Set Object Detection: Issues, a New Formulation, and TaxonomyYusuke Hosoya, Masanori Suganuma, Takayuki Okatani2022arxiv 2207.09775
DGSSM: Diffusion guided state-space models for multimodal salient object detectionSuklav Ghosh, Arijit Sur, Pinaki Mitra2026arxiv 2604.17585
R4Det: 4D Radar-Camera Fusion for High-Performance 3D Object DetectionZhongyu Xia, Yousen Tang, Yongtao Wang2026arxiv 2603.11566
AFDet: Anchor Free One Stage 3D Object DetectionRunzhou Ge, Zhuangzhuang Ding, Yihan Hu2020arxiv 2006.12671
Bingham Procrustean Alignment for Object Detection in ClutterJared Glover, Sanja Popovic2013arxiv 1304.7399
Adaptive Object Detection Using Adjacency and Zoom PredictionYongxi Lu, Tara Javidi, Svetlana Lazebnik2015arxiv 1512.07711
Exploring Bottom-up and Top-down Cues with Attentive Learning for Webly Supervised Object DetectionZhonghua Wu, Qingyi Tao, Guosheng Lin2020arxiv 2003.09790
VoxelNextFusion: A Simple, Unified and Effective Voxel Fusion Framework for Multi-Modal 3D Object DetectionZiying Song, Guoxin Zhang, Jun Xie2024arxiv 2401.02702
GEM: Glare or Gloom, I Can Still See You -- End-to-End Multimodal Object DetectionOsama Mazhar, Robert Babuska, Jens Kober2021arxiv 2102.12319
LiRaFusion: Deep Adaptive LiDAR-Radar Fusion for 3D Object DetectionJingyu Song, Lingjun Zhao, Katherine A. Skinner2024arxiv 2402.11735
Ego-Motion Estimation and Dynamic Motion Separation from 3D Point Clouds for Accumulating Data and Improving 3D Object DetectionPatrick Palmer, Martin Krueger, Richard Altendorfer2023arxiv 2308.15357
REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAsCaiwen Ding, Shuo Wang, Ning Liu2019arxiv 1909.13396
YOLO-TLA: An Efficient and Lightweight Small Object Detection Model based on YOLOv5Chun-Lin Ji, Tao Yu, Peng Gao2024arxiv 2402.14309
CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object DetectionJisong Kim, Minjae Seong, Jun Won Choi2024arxiv 2411.03013
Explainability-Inspired Layer-Wise Pruning of Deep Neural Networks for Efficient Object DetectionAbhinav Shukla, Nachiket Tapas2026arxiv 2602.14040
Enhancing Object Detection in Adverse Conditions using Thermal ImagingKshitij Agrawal, Anbumani Subramanian2019arxiv 1909.13551