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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
Rope3D: TheRoadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection TaskXiaoqing Ye, Mao Shu, Hanyu Li2022arxiv 2203.13608
Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and SegmentationFeng Li, Hao Zhang, Huaizhe xu2022arxiv 2206.02777
An Application of Deep Learning for Sweet Cherry Phenotyping using YOLO Object DetectionRitayu Nagpal, Sam Long, Shahid Jahagirdar2023arxiv 2302.06698
MVFusion: Multi-View 3D Object Detection with Semantic-aligned Radar and Camera FusionZizhang Wu, Guilian Chen, Yuanzhu Gan2023arxiv 2302.10511
Few-shot Object Detection with Feature Attention Highlight Module in Remote Sensing ImagesZixuan Xiao, Ping Zhong, Yuan Quan2020arxiv 2009.01616
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object DetectionKemal Oksuz, Baris Can Cam, Emre Akbas2020arxiv 2009.13592
YOLO-PRO: Enhancing Instance-Specific Object Detection with Full-Channel Global Self-AttentionLin Huang, Yujuan Tan, Weisheng Li2025arxiv 2503.02348
Optimized Loss Functions for Object detection: A Case Study on Nighttime Vehicle DetectionShang Jiang, Haoran Qin, Bingli Zhang2020arxiv 2011.05523
Ray Denoising: Depth-aware Hard Negative Sampling for Multi-view 3D Object DetectionFeng Liu, Tengteng Huang, Qianjing Zhang2024arxiv 2402.03634
Class Imbalance in Object Detection: An Experimental Diagnosis and Study of Mitigation StrategiesNieves Crasto2024arxiv 2403.07113
CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D Object DetectionGyusam Chang, Wonseok Roh, Sujin Jang2024arxiv 2403.03721
Eliminating Cross-modal Conflicts in BEV Space for LiDAR-Camera 3D Object DetectionJiahui Fu, Chen Gao, Zitian Wang2024arxiv 2403.07372
Pre-train, Adapt and Detect: Multi-Task Adapter Tuning for Camouflaged Object DetectionYinghui Xing, Dexuan Kong, Shizhou Zhang2023arxiv 2307.10685
Rethinking Annotation for Object Detection: Is Annotating Small-size Instances Worth Its Cost?Yusuke Hosoya, Masanori Suganuma, Takayuki Okatani2024arxiv 2412.05611
Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object DetectionYi Yu, Xue Yang, Yansheng Li2025arxiv 2502.09471
Confluence: A Robust Non-IoU Alternative to Non-Maxima Suppression in Object DetectionAndrew Shepley, Greg Falzon, Paul Kwan2020arxiv 2012.00257
CBAM-STN-TPS-YOLO: Enhancing Agricultural Object Detection through Spatially Adaptive Attention MechanismsSatvik Praveen, Yoonsung Jung2025arxiv 2506.07357
Lightweight Object Detection Using Quantized YOLOv4-Tiny for Emergency Response in Aerial ImagerySindhu Boddu, Arindam Mukherjee2025arxiv 2506.09299
UAV-DETR: Efficient End-to-End Object Detection for Unmanned Aerial Vehicle ImageryHuaxiang Zhang, Kai Liu, Zhongxue Gan2025arxiv 2501.01855
CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object DetectionHanzhi Zhong, Zhiyu Xiang, Ruoyu Xu2025arxiv 2507.04587