SOTA2 Research · papers

Papers for “coco”

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

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20 indexed

Title	Authors	Year	Source
CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection	Zhiwei Dong, Guoxuan Li, Yue Liao	2020	arxiv 2003.09119
Meshed-Memory Transformer for Image Captioning	Marcella Cornia, Matteo Stefanini, Lorenzo Baraldi	2019	arxiv 1912.08226
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection	Jianyuan Guo, Kai Han, Yunhe Wang	2020	arxiv 2003.11818
Squeeze-and-Attention Networks for Semantic Segmentation	Zilong Zhong, Zhong Qiu Lin, Rene Bidart	2019	arxiv 1909.03402
Deep Snake for Real-Time Instance Segmentation	Sida Peng, Wen Jiang, Huaijin Pi	2020	arxiv 2001.01629
Example-Guided Image Synthesis across Arbitrary Scenes using Masked Spatial-Channel Attention and Self-Supervision	Haitian Zheng, Haofu Liao, Lele Chen	2020	arxiv 2004.10024
Accelerating Neural Network Inference by Overflow Aware Quantization	Hongwei Xie, Shuo Zhang, Huanghao Ding	2020	arxiv 2005.13297
Self-supervised Transfer Learning for Instance Segmentation through Physical Interaction	Andreas Eitel, Nico Hauff, Wolfram Burgard	2020	arxiv 2005.09484
Delving into the Imbalance of Positive Proposals in Two-stage Object Detection	Zheng Ge, Zequn Jie, Xin Huang	2020	arxiv 2005.11472
iffDetector: Inference-aware Feature Filtering for Object Detection	Mingyuan Mao, Yuxin Tian, Baochang Zhang	2020	arxiv 2006.12708