SOTA2 Research · papers

Papers for “object detection”

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

Search results

20 indexed

Title	Authors	Year	Source
Weakly Supervised 3D Object Detection from Point Clouds	Zengyi Qin, Jinglu Wang, Yan Lu	2020	arxiv 2007.13970
Test-Time Backdoor Detection for Object Detection Models	Hangtao Zhang, Yichen Wang, Shihui Yan	2025	arxiv 2503.15293
Context Enhanced Transformer for Single Image Object Detection	Seungjun An, Seonghoon Park, Gyeongnyeon Kim	2023	arxiv 2312.14492
Deep Feature Based Contextual Model for Object Detection	Wenqing Chu, Deng Cai	2016	arxiv 1604.04048
Exploiting Web Images for Weakly Supervised Object Detection	Qingyi Tao, Hao Yang, Jianfei Cai	2017	arxiv 1707.08721
Unbiased Mean Teacher for Cross-domain Object Detection	Jinhong Deng, Wen Li, Yuhua Chen	2020	arxiv 2003.00707
Small Object Detection for Birds with Swin Transformer	Da Huo, Marc A. Kastner, Tingwei Liu	2025	arxiv 2511.22310
Performance-guided Reinforced Active Learning for Object Detection	Zhixuan Liang, Xingyu Zeng, Rui Zhao	2026	arxiv 2601.15688
From classical techniques to convolution-based models: A review of object detection algorithms	Fnu Neha, Deepshikha Bhati, Deepak Kumar Shukla	2024	arxiv 2412.05252
SimROD: A Simple Baseline for Raw Object Detection with Global and Local Enhancements	Haiyang Xie, Xi Shen, Shihua Huang	2025	arxiv 2503.07101
Deep Learning-Based Object Detection in Maritime Unmanned Aerial Vehicle Imagery: Review and Experimental Comparisons