List your company
ResearchFormerly WizWand

Research

Papers for “object detection”

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

TitleAuthorsYearSource
One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object DetectionZhenyu Wang, Yali Li, Hengshuang Zhao2024arxiv 2411.01584
Comprehensive Multi-Modal Prototypes are Simple and Effective Classifiers for Vast-Vocabulary Object DetectionYitong Chen, Wenhao Yao, Lingchen Meng2024arxiv 2412.17800
Mono3DV: Monocular 3D Object Detection with 3D-Aware Bipartite Matching and Variational Query DeNoisingKiet Dang Vu, Trung Thai Tran, Kien Nguyen Do Trung2026arxiv 2601.01036
TinyVLM: Zero-Shot Object Detection on Microcontrollers via Vision-Language Distillation with Matryoshka EmbeddingsBibin Wilson2026arxiv 2603.00136
Dual-Strategy Improvement of YOLOv11n for Multi-Scale Object Detection in Remote Sensing ImagesShuaiyu Zhu, Sergey Ablameyko2026arxiv 2603.13879
Fine-Grained Open-Vocabulary Object Detection with Fined-Grained Prompts: Task, Dataset and BenchmarkYing Liu, Yijing Hua, Haojiang Chai2025arxiv 2503.14862
MUSDA: Multi-source Multi-modality Unsupervised Domain Adaptive 3D Object Detection for Autonomous DrivingXiaohu Lu, Hamed Khatounabadi, Hayder Radha2026arxiv 2605.10026
Cognitive-YOLO: LLM-Driven Architecture Synthesis from First Principles of Data for Object DetectionJiahao Zhao2025arxiv 2512.12281
Building Robust Industrial Applicable Object Detection Models Using Transfer Learning and Single Pass Deep Learning ArchitecturesSteven Puttemans, Timothy Callemein, Toon Goedemé2020arxiv 2007.04666
Comprehensive Performance Evaluation of YOLOv11, YOLOv10, YOLOv9, YOLOv8 and YOLOv5 on Object Detection of Power EquipmentZijian He, Kang Wang, Tian Fang2024arxiv 2411.18871
From Dataset to Real-world: General 3D Object Detection via Generalized Cross-domain Few-shot LearningShuangzhi Li, Junlong Shen, Lei Ma2025arxiv 2503.06282
Care3D: An Active 3D Object Detection Dataset of Real Robotic-Care EnvironmentsMichael G. Adam, Sebastian Eger, Martin Piccolrovazzi2023arxiv 2310.05600
nVFNet-RDC: Replay and Non-Local Distillation Collaboration for Continual Object DetectionJinxiang Lai, Wenlong Liu, Jun Liu2022arxiv 2209.03603
Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object DetectionXinhao Luo, Man Yao, Yuhong Chou2024arxiv 2407.20708
A Guide to Image and Video based Small Object Detection using Deep Learning : Case Study of Maritime SurveillanceAref Miri Rekavandi, Lian Xu, Farid Boussaid2022arxiv 2207.12926
Preferences Prediction using a Gallery of Mobile Device based on Scene Recognition and Object DetectionA.V. Savchenko, K.V. Demochkin, I.S. Grechikhin2019arxiv 1907.04519
xYOLO: A Model For Real-Time Object Detection In Humanoid Soccer On Low-End HardwareDaniel Barry, Munir Shah, Merel Keijsers2019arxiv 1910.03159
WSOD^2: Learning Bottom-up and Top-down Objectness Distillation for Weakly-supervised Object DetectionZhaoyang Zeng, Bei Liu, Jianlong Fu2019arxiv 1909.04972
Adaptive LiDAR Scanning: Harnessing Temporal Cues for Efficient 3D Object Detection via Multi-Modal FusionSara Shoouri, Morteza Tavakoli Taba, Hun-Seok Kim2025arxiv 2508.01562
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and ChallengesDi Feng, Christian Haase-Schütz, Lars Rosenbaum2019arxiv 1902.07830