CamVid

Overview edit

Variants: CamVid

Associated Benchmarks

This dataset is used in 3 benchmarks:

• Semantic Segmentation - Metrics: Mean IoU, Global Accuracy
• Video Semantic Segmentation - Metrics: Mean IoU
• 2D Semantic Segmentation - Metrics: mIoU

Recent Benchmark Submissions

Research Papers

Recent papers with results on this dataset:

• DSNet: A Novel Way to Use Atrous Convolutions in Semantic Segmentation (2024) -
• SERNet-Former: Semantic Segmentation by Efficient Residual Network with Attention-Boosting Gates and Attention-Fusion Networks (2024) -
• RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer (2022) -
• PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers (2022) -
• Scaling up Multi-domain Semantic Segmentation with Sentence Embeddings (2022) -
• Temporal Memory Attention for Video Semantic Segmentation (2021) -
• Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes (2021) -
• Temporally Distributed Networks for Fast Video Semantic Segmentation (2020) -
• Efficient Semantic Video Segmentation with Per-frame Inference (2020) -
• Template-Based Automatic Search of Compact Semantic Segmentation Architectures (2019) -
• DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation (2019) -
• Improving Semantic Segmentation via Video Propagation and Label Relaxation (2018) -
• Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic Segmentation (2018) -
• Efficient Road Lane Marking Detection with Deep Learning (2018) -
• BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation (2018) -
• Deep Spatio-Temporal Random Fields for Efficient Video Segmentation (2018) -
• Semantic Video Segmentation by Gated Recurrent Flow Propagation (2016) -
• Pyramid Scene Parsing Network (2016) -
• The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation (2016) -
• Multi-Scale Context Aggregation by Dilated Convolutions (2015) -