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
Object DGCNN: 3D Object Detection using Dynamic Graphs	Yue Wang, Justin Solomon	2021	arxiv 2110.06923
SparseDet: Towards End-to-End 3D Object Detection	Jianhong Han, Zhaoyi Wan, Zhe Liu	2022	arxiv 2206.00960
False Detection (Positives and Negatives) in Object Detection	Subrata Goswami	2020	arxiv 2008.06986
Learning Region Features for Object Detection	Jiayuan Gu, Han Hu, Liwei Wang	2018	arxiv 1803.07066
Effective Fusion Factor in FPN for Tiny Object Detection	Yuqi Gong, Xuehui Yu, Yao Ding	2020	arxiv 2011.02298
Self-explanatory Deep Salient Object Detection	Huaxin Xiao, Jiashi Feng, Yunchao Wei	2017	arxiv 1708.05595
Exploring Depth Contribution for Camouflaged Object Detection	Mochu Xiang, Jing Zhang, Yunqiu Lv	2021	arxiv 2106.13217
Geodesic-based Salient Object Detection	Richard M Jiang	2013	arxiv 1302.6557
Contrastive Object Detection Using Knowledge Graph Embeddings	Christopher Lang, Alexander Braun, Abhinav Valada	2021	arxiv 2112.11366
Decoupled Adaptation for Cross-Domain Object Detection	Junguang Jiang, Baixu Chen, Jianmin Wang	2021	arxiv 2110.02578
Learning Gaussian Maps for Dense Object Detection	Sonaal Kant	2020	arxiv 2004.11855