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
Context Prior for Scene Segmentation	Changqian Yu, Jingbo Wang, Changxin Gao	2020	arxiv 2004.01547
Salient Object Detection Combining a Self-attention Module and a Feature Pyramid Network	Guangyu Ren, Tianhong Dai, Panagiotis Barmpoutis	2020	arxiv 2004.14552
Pathological myopia classification with simultaneous lesion segmentation using deep learning	Ruben Hemelings, Bart Elen, Matthew B. Blaschko	2020	arxiv 2006.02813
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients	Maria de la Iglesia Vayá, Jose Manuel Saborit, Joaquim Angel Montell	2020	arxiv 2006.01174
Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey	Farhana Sultana, Abu Sufian, Paramartha Dutta	2020	arxiv 2001.04074
Learning Geocentric Object Pose in Oblique Monocular Images	Gordon Christie, Rodrigo Rene Rai Munoz Abujder, Kevin Foster	2020	arxiv 2007.00729
SkyScapes -- Fine-Grained Semantic Understanding of Aerial Scenes	Seyed Majid Azimi, Corentin Henry, Lars Sommer	2020	arxiv 2007.06102
Embedded Encoder-Decoder in Convolutional Networks Towards Explainable AI	Amirhossein Tavanaei	2020	arxiv 2007.06712
Exploiting the Transferability of Deep Learning Systems Across Multi-modal Retinal Scans for Extracting Retinopathy Lesions	Taimur Hassan, Muhammad Usman Akram, Naoufel Werghi	2020	arxiv 2006.02662
LULC Segmentation of RGB Satellite Image Using FCN-8	Abu Bakar Siddik Nayem, Anis Sarker, Ovi Paul