SOTA2 Research · papers

Papers for “semantic segmentation”

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

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20 indexed

Title	Authors	Year	Source
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory	Iasonas Kokkinos	2016	arxiv 1609.02132
Fused DNN: A deep neural network fusion approach to fast and robust pedestrian detection	Xianzhi Du, Mostafa El-Khamy, Jungwon Lee	2016	arxiv 1610.03466
CASENet: Deep Category-Aware Semantic Edge Detection	Zhiding Yu, Chen Feng, Ming-Yu Liu	2017	arxiv 1705.09759
Semantic Video Segmentation by Gated Recurrent Flow Propagation	David Nilsson, Cristian Sminchisescu	2016	arxiv 1612.08871
Semi-Supervised Hierarchical Semantic Object Parsing	Jalal Mirakhorli, Hamidreza Amindavar	2017	arxiv 1709.08019
Log-DenseNet: How to Sparsify a DenseNet	Hanzhang Hu, Debadeepta Dey, Allison Del Giorno	2017	arxiv 1711.00002
Automatic and Flexible Transmission of Semantic Map Images using Polar Codes for End-to-End Semantic-based Communication Systems	Hossein Rezaei, Thushan Sivalingam, Nandana Rajatheva	2023	arxiv 2304.13632
Spectral Image Data Fusion for Multisource Data Augmentation	Roberta Iuliana Luca, Alexandra Baicoianu, Ioana Cristina Plajer	2024	arxiv 2405.14883
Recognizing and Presenting the Storytelling Video Structure with Deep Multimodal Networks	Lorenzo Baraldi, Costantino Grana, Rita Cucchiara	2016	arxiv 1610.01376
Efficient Linear Programming for Dense CRFs	Thalaiyasingam Ajanthan, Alban Desmaison, Rudy Bunel