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
Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes	Letizia Marchegiani, Paul Newman	2018	arxiv 1810.04989
Online Convolutional Re-parameterization	Mu Hu, Junyi Feng, Jiashen Hua	2022	arxiv 2204.00826
3D Compositional Zero-shot Learning with DeCompositional Consensus	Muhammad Ferjad Naeem, Evin P\inar Örnek, Yongqin Xian	2021	arxiv 2111.14673
Object Class Aware Video Anomaly Detection through Image Translation	Mohammad Baradaran, Robert Bergevin	2022	arxiv 2205.01706
ConvMAE: Masked Convolution Meets Masked Autoencoders	Peng Gao, Teli Ma, Hongsheng Li	2022	arxiv 2205.03892
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields	Mingtong Zhang, Shuhong Zheng, Zhipeng Bao	2022	arxiv 2206.04669
Deep ensemble learning for segmenting tuberculosis-consistent manifestations in chest radiographs	Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi	2022	arxiv 2206.06065
LightViT: Towards Light-Weight Convolution-Free Vision Transformers	Tao Huang, Lang Huang, Shan You	2022	arxiv 2207.05557
MRF-UNets: Searching UNet with Markov Random Fields	Zifu Wang, Matthew B. Blaschko	2022	arxiv 2207.06168
Dense Siamese Network for Dense Unsupervised Learning	Wenwei Zhang, Jiangmiao Pang, Kai Chen	2022	arxiv 2203.11075
Towards Multimodal Multitask Scene Understanding Models for Indoor Mobile Agents

Analysis of the Compaction Behavior of Textile Reinforcements in Low-Resolution In-Situ CT Scans via Machine-Learning and Descriptor-Based Methods	Christian Düreth, Jan Condé-Wolter, Marek Danczak	2025	arxiv 2508.10943