SOTA2 Research · papers

Papers for “semantic segmentation”

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

Search results

20 indexed

Title	Authors	Year	Source
Semantic Correlation Promoted Shape-Variant Context for Segmentation	Henghui Ding, Xudong Jiang, Bing Shuai	2019	arxiv 1909.02651
SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks	Junkun Jiang, Ruomei Wang, Shujin Lin	2019	arxiv 1908.05389
Learning Semantic Neural Tree for Human Parsing	Ruyi Ji, Dawei Du, Libo Zhang	2019	arxiv 1912.09622
Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks	Domen Tabernik, Matej Kristan, Aleš Leonardis	2019	arxiv 1902.07474
SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud	Hongwei Yi, Shaoshuai Shi, Mingyu Ding	2020	arxiv 2002.05316
Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach	Pierre Courtiol, Eric W. Tramel, Marc Sanselme	2018	arxiv 1802.02212
Data-Free Adversarial Distillation	Gongfan Fang, Jie Song, Chengchao Shen	2019	arxiv 1912.11006
Adversarial Attacks on Monocular Depth Estimation	Ziqi Zhang, Xinge Zhu, Yingwei Li	2020	arxiv 2003.10315
MNEW: Multi-domain Neighborhood Embedding and Weighting for Sparse Point Clouds Segmentation	Yang Zheng, Izzat H. Izzat, Sanling Song	2020	arxiv 2004.03401
EOLO: Embedded Object Segmentation only Look Once	Longfei Zeng, Mohammed Sabah	2020	arxiv 2004.00123