Cover Image

Semantic Segmentation of Video Sequences with Convolutional LSTMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pfeuffer, Andreas, Schulz, Karina, Dietmayer, Klaus
Format:	Preprint
Published:	2019
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Optimal Sensor Data Fusion Architecture for Object Detection in Adverse Weather Conditions
by: Pfeuffer, Andreas, et al.
Published: (2018)

Convolution-based Probability Gradient Loss for Semantic Segmentation
by: Shan, Guohang, et al.
Published: (2024)

Graph Attention Convolutional U-NET: A Semantic Segmentation Model for Identifying Flooded Areas
by: Danish, Muhammad Umair, et al.
Published: (2025)

Learning Spatial-Semantic Features for Robust Video Object Segmentation
by: Li, Xin, et al.
Published: (2024)

Learning Local and Global Temporal Contexts for Video Semantic Segmentation
by: Sun, Guolei, et al.
Published: (2022)

Heuristical Comparison of Vision Transformers Against Convolutional Neural Networks for Semantic Segmentation on Remote Sensing Imagery
by: Dahal, Ashim, et al.
Published: (2024)

FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier Convolutions
by: Berenguel-Baeta, Bruno, et al.
Published: (2022)

Learnable Prompt for Few-Shot Semantic Segmentation in Remote Sensing Domain
by: Immanuel, Steve Andreas, et al.
Published: (2024)

Semantic Segmentation by Semantic Proportions
by: Aysel, Halil Ibrahim, et al.
Published: (2023)

Federated Unsupervised Semantic Segmentation
by: Charalampakis, Evangelos, et al.
Published: (2025)

SlotMatch: Distilling Object-Centric Representations for Unsupervised Video Segmentation
by: Grigore, Diana-Nicoleta, et al.
Published: (2025)

Hands-On: Segmenting Individual Signs from Continuous Sequences
by: Low, JianHe, et al.
Published: (2025)

Extending Information Bottleneck Attribution to Video Sequences
by: Solopova, Veronika, et al.
Published: (2025)

Multimodal SAM-adapter for Semantic Segmentation
by: Curti, Iacopo, et al.
Published: (2025)

Spatial Frequency Modulation for Semantic Segmentation
by: Chen, Linwei, et al.
Published: (2025)

Bladder Vessel Segmentation using a Hybrid Attention-Convolution Framework
by: Krauß, Franziska, et al.
Published: (2026)

Video-As-Prompt: Unified Semantic Control for Video Generation
by: Bian, Yuxuan, et al.
Published: (2025)

EchoPilot: Training-Free Ultrasound Video Segmentation via Scale-Space Semantic Prompting and Reliability-Gated Memory
by: Xiao, Ruiqiang, et al.
Published: (2026)

Label-Efficient Semantic Segmentation of LiDAR Point Clouds in Adverse Weather Conditions
by: Piroli, Aldi, et al.
Published: (2024)

Open-Set Domain Adaptation for Semantic Segmentation
by: Choe, Seun-An, et al.
Published: (2024)

Weakly Supervised Segmentation as Semantic-Based Regularization
by: Colamonaco, Stefano, et al.
Published: (2026)

Rethinking Unsupervised Domain Adaptation for Semantic Segmentation
by: Wang, Zhijie, et al.
Published: (2022)

Rethinking Alignment and Uniformity in Unsupervised Semantic Segmentation
by: Zhang, Daoan, et al.
Published: (2022)

Representation Separation for Semantic Segmentation with Vision Transformers
by: Hong, Yuanduo, et al.
Published: (2022)

CSC-Unet: A Novel Convolutional Sparse Coding Strategy Based Neural Network for Semantic Segmentation
by: Tang, Haitong, et al.
Published: (2021)

Causality Model for Semantic Understanding on Videos
by: Yicong, Li
Published: (2025)

General and Task-Oriented Video Segmentation
by: Chen, Mu, et al.
Published: (2024)

MM-UNet: Morph Mamba U-shaped Convolutional Networks for Retinal Vessel Segmentation
by: Liu, Jiawen, et al.
Published: (2025)

Exploring the Integration of Key-Value Attention Into Pure and Hybrid Transformers for Semantic Segmentation
by: Hwa, DeShin, et al.
Published: (2025)

Semantic Localization Guiding Segment Anything Model For Reference Remote Sensing Image Segmentation
by: Li, Shuyang, et al.
Published: (2025)

D-PLS: Decoupled Semantic Segmentation for 4D-Panoptic-LiDAR-Segmentation
by: Steinhauser, Maik, et al.
Published: (2025)

AEGIS: Authenticity Evaluation Benchmark for AI-Generated Video Sequences
by: Li, Jieyu, et al.
Published: (2025)

Is 3D Convolution with 5D Tensors Really Necessary for Video Analysis?
by: Hajimolahoseini, Habib, et al.
Published: (2024)

LRConv-NeRV: Low Rank Convolution for Efficient Neural Video Compression
by: Shanableh, Tamer
Published: (2026)

Using Deep Convolutional Neural Networks to Detect Rendered Glitches in Video Games
by: Ling, Carlos Garcia, et al.
Published: (2024)

Depth-guided Texture Diffusion for Image Semantic Segmentation
by: Sun, Wei, et al.
Published: (2024)

Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation
by: Almeida, Luís, et al.
Published: (2024)

Diffusion Features to Bridge Domain Gap for Semantic Segmentation
by: Ji, Yuxiang, et al.
Published: (2024)

Integrating Semi-Supervised and Active Learning for Semantic Segmentation
by: Ma, Wanli, et al.
Published: (2025)

Restoration Adaptation for Semantic Segmentation on Low Quality Images
by: Guan, Kai, et al.
Published: (2026)