SOTA2 Research · papers

Papers for “object detection”

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

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20 indexed

Title	Authors	Year	Source
SeSame: Simple, Easy 3D Object Detection with Point-Wise Semantics	Hayeon O, Chanuk Yang, Kunsoo Huh	2024	arxiv 2403.06501
Attacking by Aligning: Clean-Label Backdoor Attacks on Object Detection	Yize Cheng, Wenbin Hu, Minhao Cheng	2023	arxiv 2307.10487
Adversarial Detection: Attacking Object Detection in Real Time	Han Wu, Syed Yunas, Sareh Rowlands	2022	arxiv 2209.01962
Object Detection in Aerial Imagery	Dmitry Demidov, Rushali Grandhe, Salem AlMarri	2022	arxiv 2211.15479
Semantic Information for Object Detection	Jean-Francois Nies	2023	arxiv 2308.08990
IOD-CNN: Integrating Object Detection Networks for Event Recognition	Sungmin Eum, Hyungtae Lee, Heesung Kwon	2017	arxiv 1703.07431
Highly Efficient SNNs for High-speed Object Detection	Nemin Qiu, Zhiguo Li, Yuan Li	2023	arxiv 2309.15883
Dynamic Head: Unifying Object Detection Heads with Attentions	Xiyang Dai, Yinpeng Chen, Bin Xiao	2021	arxiv 2106.08322
Active learning with version spaces for object detection	Soumya Roy, Vinay P. Namboodiri, Arijit Biswas	2016	arxiv 1611.07285
SESS: Self-Ensembling Semi-Supervised 3D Object Detection	Na Zhao, Tat-Seng Chua, Gim Hee Lee	2019	arxiv 1912.11803
Bayesian Detector Combination for Object Detection with Crowdsourced Annotations	Zhi Qin Tan, Olga Isupova, Gustavo Carneiro