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
Fully Convolutional Instance-aware Semantic Segmentation	Yi Li, Haozhi Qi, Jifeng Dai	2016	arxiv 1611.07709
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices	Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin	2017	arxiv 1707.01083
A Visual Attention Grounding Neural Model for Multimodal Machine Translation	Mingyang Zhou, Runxiang Cheng, Yong Jae Lee	2018	arxiv 1808.08266
Adversarial Synthesis of Human Pose from Text	Yifei Zhang, Rania Briq, Julian Tanke	2020	arxiv 2005.00340
Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling	Lixiang Ru, Bo Du, Yibing Zhan	2022	arxiv 2202.04812
A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-language Model	Mengde Xu, Zheng Zhang, Fangyun Wei	2021	arxiv 2112.14757
Explicit Box Detection Unifies End-to-End Multi-Person Pose Estimation	Jie Yang, Ailing Zeng, Shilong Liu	2023	arxiv 2302.01593
Efficient Teacher: Semi-Supervised Object Detection for YOLOv5	Bowen Xu, Mingtao Chen, Wenlong Guan	2023	arxiv 2302.07577
Joint Anchor-Feature Refinement for Real-Time Accurate Object Detection in Images and Videos	Xingyu Chen, Junzhi Yu, Shihan Kong	2018	arxiv 1807.08638
Empirical Upper Bound, Error Diagnosis and Invariance Analysis of Modern Object Detectors	Ali Borji	2020	arxiv 2004.02877