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
HR-RCNN: Hierarchical Relational Reasoning for Object Detection	Hao Chen, Abhinav Shrivastava	2021	arxiv 2110.13892
Diffusion-based 3D Object Detection with Random Boxes	Xin Zhou, Jinghua Hou, Tingting Yao	2023	arxiv 2309.02049
Temporal Feature Networks for CNN based Object Detection	Michael Weber, Tassilo Wald, J. Marius Zöllner	2021	arxiv 2103.12213
CamoFormer: Masked Separable Attention for Camouflaged Object Detection	Bowen Yin, Xuying Zhang, Qibin Hou	2022	arxiv 2212.06570
Object Detection Based on Distributed Convolutional Neural Networks	Liang Sun	2026	arxiv 2603.28050
Uncertainty for Identifying Open-Set Errors in Visual Object Detection	Dimity Miller, Niko Sünderhauf, Michael Milford	2021	arxiv 2104.01328
Identification of Novel Classes for Improving Few-Shot Object Detection	Zeyu Shangguan, Mohammad Rostami	2023	arxiv 2303.10422
A novel Multi to Single Module for small object detection	Xiaohui Guo	2023	arxiv 2303.14977
CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection	Su Pang, Daniel Morris, Hayder Radha	2020	arxiv 2009.00784
Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection	Nishant Kumar, Siniša Šegvić, Abouzar Eslami	2023	arxiv 2302.07106
Domain-Specialized Object Detection via Model-Level Mixtures of Experts