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
Multimodal Convolutional Neural Networks for Matching Image and Sentence	Lin Ma, Zhengdong Lu, Lifeng Shang	2015	arxiv 1504.06063
Language Models for Image Captioning: The Quirks and What Works	Jacob Devlin, Hao Cheng, Hao Fang	2015	arxiv 1505.01809
Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network	Seunghoon Hong, Junhyuk Oh, Bohyung Han	2015	arxiv 1512.07928
Image Captioning with Semantic Attention	Quanzeng You, Hailin Jin, Zhaowen Wang	2016	arxiv 1603.03925
From Captions to Visual Concepts and Back	Hao Fang, Saurabh Gupta, Forrest Iandola	2014	arxiv 1411.4952
Utilizing Large Scale Vision and Text Datasets for Image Segmentation from Referring Expressions	Ronghang Hu, Marcus Rohrbach, Subhashini Venugopalan	2016	arxiv 1608.08305
Weakly-supervised Visual Grounding of Phrases with Linguistic Structures	Fanyi Xiao, Leonid Sigal, Yong Jae Lee	2017	arxiv 1705.01371
FastMask: Segment Multi-scale Object Candidates in One Shot	Hexiang Hu, Shiyi Lan, Yuning Jiang	2016	arxiv 1612.08843
OBJ2TEXT: Generating Visually Descriptive Language from Object Layouts	Xuwang Yin, Vicente Ordonez	2017	arxiv 1707.07102
EAST: An Efficient and Accurate Scene Text Detector	Xinyu Zhou, Cong Yao, He Wen	2017	arxiv 1704.03155
Attention Correctness in Neural Image Captioning