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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
DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detectionWanli Ouyang, Ping Luo, Xingyu Zeng2014arxiv 1409.3505
Sensor Fusion for Joint 3D Object Detection and Semantic SegmentationGregory P. Meyer, Jake Charland, Darshan Hegde2019arxiv 1904.11466
When Super-Resolution Meets Camouflaged Object Detection: A Comparison StudyJuan Wen, Shupeng Cheng, Peng Xu2023arxiv 2308.04370
YOLOv5-Based Object Detection for Emergency Response in Aerial ImagerySindhu Boddu, Arindam Mukherjee2024arxiv 2412.05394
PVANet: Lightweight Deep Neural Networks for Real-time Object DetectionSanghoon Hong, Byungseok Roh, Kye-Hyeon Kim2016arxiv 1611.08588
DAC-SDC Low Power Object Detection Challenge for UAV ApplicationsXiaowei Xu, Xinyi Zhang, Bei Yu2018arxiv 1809.00110
Visualizing Object Detection FeaturesCarl Vondrick, Aditya Khosla, Hamed Pirsiavash2015arxiv 1502.05461
Weakly-Supervised Salient Object Detection via Scribble AnnotationsJing Zhang, Xin Yu, Aixuan Li2020arxiv 2003.07685
Toward Realistic Camouflaged Object Detection: Benchmarks and MethodZhimeng Xin, Tianxu Wu, Shiming Chen2025arxiv 2501.07297
Tube-CNN: Modeling temporal evolution of appearance for object detection in videoTuan-Hung Vu, Anton Osokin, Ivan Laptev2018arxiv 1812.02619
Knowledge Graph Driven UAV Cognitive Semantic Communication Systems for Efficient Object DetectionXi Song, Lu Yuan, Zhibo Qu2024arxiv 2401.13995
PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point CloudsJinyu Li, Chenxu Luo, Xiaodong Yang2023arxiv 2305.04925
MAMAT: 3D Mamba-Based Atmospheric Turbulence Removal and its Object Detection CapabilityPaul Hill, Zhiming Liu, Nantheera Anantrasirichai2025arxiv 2503.17700
Evaluating the Performance of Open-Vocabulary Object Detection in Low-quality ImagePo-Chih Wu2025arxiv 2512.22801
V3Det Challenge 2024 on Vast Vocabulary and Open Vocabulary Object Detection: Methods and ResultsJiaqi Wang, Yuhang Zang, Pan Zhang2024arxiv 2406.11739
Cross-Modal Attentional Context Learning for RGB-D Object DetectionGuanbin Li, Yukang Gan, Hejun Wu2018arxiv 1810.12829
Deep Optics for Monocular Depth Estimation and 3D Object DetectionJulie Chang, Gordon Wetzstein2019arxiv 1904.08601
Multitask AET with Orthogonal Tangent Regularity for Dark Object DetectionZiteng Cui, Guo-Jun Qi, Lin Gu2022arxiv 2205.03346
Point RCNN: An Angle-Free Framework for Rotated Object DetectionQiang Zhou, Chaohui Yu, Zhibin Wang2022arxiv 2205.14328
RTGen: Generating Region-Text Pairs for Open-Vocabulary Object DetectionFangyi Chen, Han Zhang, Zhantao Yang2024arxiv 2405.19854