SOTA2 Research · papers

Papers for “coco”

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

Search results

20 indexed

Title	Authors	Year	Source
Situational Object Boundary Detection	Jasper Uijlings, Vittorio Ferrari	2015	arxiv 1504.06434
What makes for effective detection proposals?	Jan Hosang, Rodrigo Benenson, Piotr Dollár	2015	arxiv 1502.05082
ProNet: Learning to Propose Object-specific Boxes for Cascaded Neural Networks	Chen Sun, Manohar Paluri, Ronan Collobert	2015	arxiv 1511.03776
Top-down Neural Attention by Excitation Backprop	Jianming Zhang, Zhe Lin, Jonathan Brandt	2016	arxiv 1608.00507
MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features	Liang-Chieh Chen, Alexander Hermans, George Papandreou	2017	arxiv 1712.04837
A Variational U-Net for Conditional Appearance and Shape Generation	Patrick Esser, Ekaterina Sutter, Björn Ommer	2018	arxiv 1804.04694
Topic-Guided Attention for Image Captioning	Zhihao Zhu, Zhan Xue, Zejian Yuan	2018	arxiv 1807.03514
iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection	Chen Gao, Yuliang Zou, Jia-Bin Huang	2018	arxiv 1808.10437
Visual-Semantic Graph Attention Networks for Human-Object Interaction Detection	Zhijun Liang, Juan Rojas, Junfa Liu	2020	arxiv 2001.02302
Preserve, Promote, or Attack? GNN Explanation via Topology Perturbation	Yi Sun, Abel Valente, Sijia Liu	2021	arxiv 2103.13944
End-to-End Object Detection with Fully Convolutional Network