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
DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection	Wanli Ouyang, Ping Luo, Xingyu Zeng	2014	arxiv 1409.3505
Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation	Gregory P. Meyer, Jake Charland, Darshan Hegde	2019	arxiv 1904.11466
When Super-Resolution Meets Camouflaged Object Detection: A Comparison Study	Juan Wen, Shupeng Cheng, Peng Xu	2023	arxiv 2308.04370
YOLOv5-Based Object Detection for Emergency Response in Aerial Imagery	Sindhu Boddu, Arindam Mukherjee	2024	arxiv 2412.05394
PVANet: Lightweight Deep Neural Networks for Real-time Object Detection	Sanghoon Hong, Byungseok Roh, Kye-Hyeon Kim	2016	arxiv 1611.08588
DAC-SDC Low Power Object Detection Challenge for UAV Applications	Xiaowei Xu, Xinyi Zhang, Bei Yu	2018	arxiv 1809.00110
Visualizing Object Detection Features	Carl Vondrick, Aditya Khosla, Hamed Pirsiavash	2015	arxiv 1502.05461
Weakly-Supervised Salient Object Detection via Scribble Annotations	Jing Zhang, Xin Yu, Aixuan Li	2020	arxiv 2003.07685
Toward Realistic Camouflaged Object Detection: Benchmarks and Method	Zhimeng Xin, Tianxu Wu, Shiming Chen	2025	arxiv 2501.07297
Tube-CNN: Modeling temporal evolution of appearance for object detection in video	Tuan-Hung Vu, Anton Osokin, Ivan Laptev	2018	arxiv 1812.02619