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
Feature Selective Small Object Detection via Knowledge-based Recurrent Attentive Neural Network	Kai Yi, Zhiqiang Jian, Shitao Chen	2018	arxiv 1803.05263
Dual Attention Network for Scene Segmentation	Jun Fu, Jing Liu, Haijie Tian	2018	arxiv 1809.02983
Object Counting and Instance Segmentation with Image-level Supervision	Hisham Cholakkal, Guolei Sun, Fahad Shahbaz Khan	2019	arxiv 1903.02494
DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images	Ilke Demir, Krzysztof Koperski, David Lindenbaum	2018	arxiv 1805.06561
Multiple receptive fields and small-object-focusing weakly-supervised segmentation network for fast object detection	Siyang Sun, Yingjie Yin, Xingang Wang	2019	arxiv 1904.12619
Adversarial Semantic Alignment for Improved Image Captions	Pierre L. Dognin, Igor Melnyk, Youssef Mroueh	2018	arxiv 1805.00063
An Embarrassingly Simple Approach for Knowledge Distillation	Mengya Gao, Yujun Shen, Quanquan Li	2018	arxiv 1812.01819
TRB: A Novel Triplet Representation for Understanding 2D Human Body	Haodong Duan, KwanYee Lin, Sheng Jin	2019	arxiv 1910.11535
Adaptive Context Network for Scene Parsing	Jun Fu, Jing Liu, Yuhang Wang	2019	arxiv 1911.01664
Computation Reallocation for Object Detection	Feng Liang, Chen Lin, Ronghao Guo	2019	arxiv 1912.11234
Accuracy Booster: Performance Boosting using Feature Map Re-calibration