Research

Papers for “object detection”

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

Title	Authors	Year	Source
Faint Object Detection in Multi-Epoch Observations via Catalog Data Fusion	Tamas Budavari, Alexander S. Szalay, Thomas J. Loredo	2016	arxiv 1611.03171
Combining Transformers and CNNs for Efficient Object Detection in High-Resolution Satellite Imagery	Nicolas Drapier, Aladine Chetouani, Aurélien Chateigner	2025	arxiv 2507.11040
InvNorm: Domain Generalization for Object Detection in Gastrointestinal Endoscopy	Weichen Fan, Yuanbo Yang, Kunpeng Qiu	2022	arxiv 2205.02842
Sparse Compressed Spiking Neural Network Accelerator for Object Detection	Hong-Han Lien, Tian-Sheuan Chang	2022	arxiv 2205.00778
Multi-Class 3D Object Detection with Single-Class Supervision	Mao Ye, Chenxi Liu, Maoqing Yao	2022	arxiv 2205.05703
Boundary-aware Camouflaged Object Detection via Deformable Point Sampling	Minhyeok Lee, Suhwan Cho, Chaewon Park	2022	arxiv 2211.12048
Bounding Box Regression with Uncertainty for Accurate Object Detection	Yihui He, Chenchen Zhu, Jianren Wang	2018	arxiv 1809.08545
Task-Aware Monocular Depth Estimation for 3D Object Detection	Xinlong Wang, Wei Yin, Tao Kong	2019	arxiv 1909.07701
DSGN: Deep Stereo Geometry Network for 3D Object Detection	Yilun Chen, Shu Liu, Xiaoyong Shen	2020	arxiv 2001.03398
SLV: Spatial Likelihood Voting for Weakly Supervised Object Detection	Ze Chen, Zhihang Fu, Rongxin Jiang	2020	arxiv 2006.12884
Object-Aware Centroid Voting for Monocular 3D Object Detection	Wentao Bao, Qi Yu, Yu Kong	2020	arxiv 2007.09836
Reinforced Axial Refinement Network for Monocular 3D Object Detection	Lijie Liu, Chufan Wu, Jiwen Lu	2020	arxiv 2008.13748
LabelEnc: A New Intermediate Supervision Method for Object Detection	Miao Hao, Yitao Liu, Xiangyu Zhang	2020	arxiv 2007.03282
Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset Shifts	Tiago Azevedo, René de Jong, Matthew Mattina	2020	arxiv 2009.02967
DNA: Deeply-supervised Nonlinear Aggregation for Salient Object Detection	Yun Liu, Ming-Ming Cheng, Xinyu Zhang	2019	arxiv 1903.12476
Object Detection in Video with Spatial-temporal Context Aggregation	Hao Luo, Lichao Huang, Han Shen	2019	arxiv 1907.04988
S4OD: Semi-Supervised learning for Single-Stage Object Detection	Yueming Zhang, Xingxu Yao, Chao Liu	2022	arxiv 2204.04492
Understanding the Domain Gap in LiDAR Object Detection Networks	Jasmine Richter, Florian Faion, Di Feng	2022	arxiv 2204.10024
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss	Xue Yang, Junchi Yan, Qi Ming	2021	arxiv 2101.11952
AI-Driven Collaborative Satellite Object Detection for Space Sustainability	Peng Hu, Wenxuan Zhang	2025	arxiv 2508.00755

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