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
Deep Regionlets for Object Detection	Hongyu Xu, Xutao Lv, Xiaoyu Wang	2017	arxiv 1712.02408
Towards Open World Object Detection	K J Joseph, Salman Khan, Fahad Shahbaz Khan	2021	arxiv 2103.02603
SeqCo-DETR: Sequence Consistency Training for Self-Supervised Object Detection with Transformers	Guoqiang Jin, Fan Yang, Mingshan Sun	2023	arxiv 2303.08481
HAR-Net: Joint Learning of Hybrid Attention for Single-stage Object Detection	Ya-Li Li, Shengjin Wang	2019	arxiv 1904.11141
Leveraging Bottom-Up and Top-Down Attention for Few-Shot Object Detection	Xianyu Chen, Ming Jiang, Qi Zhao	2020	arxiv 2007.12104
A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets	Muhammed Muzammul, Xi Li	2021	arxiv 2107.07927
Remote Sensing Object Detection Meets Deep Learning: A Meta-review of Challenges and Advances	Xiangrong Zhang, Tianyang Zhang, Guanchun Wang	2023	arxiv 2309.06751
Towards Rotation Invariance in Object Detection	Agastya Kalra, Guy Stoppi, Bradley Brown	2021	arxiv 2109.13488
Small Object Detection using Deep Learning	Aleena Ajaz, Ayesha Salar, Tauseef Jamal	2022	arxiv 2201.03243
Frustratingly Simple Few-Shot Object Detection	Xin Wang, Thomas E. Huang, Trevor Darrell	2020	arxiv 2003.06957
Graphical Object Detection in Document Images