DADA-seg

Overview edit

Variants: DADA-seg

Associated Benchmarks

This dataset is used in 1 benchmark:

• Semantic Segmentation - Metrics: mIoU

Recent Benchmark Submissions

Research Papers

Recent papers with results on this dataset:

• Towards Robust Semantic Segmentation of Accident Scenes via Multi-Source Mixed Sampling and Meta-Learning (2022) -
• Lawin Transformer: Improving Semantic Segmentation Transformer with Multi-Scale Representations via Large Window Attention (2022) -
• Exploring Event-driven Dynamic Context for Accident Scene Segmentation (2021) -
• Trans4Trans: Efficient Transformer for Transparent Object and Semantic Scene Segmentation in Real-World Navigation Assistance (2021) -
• SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers (2021) -
• Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers (2020) -
• ISSAFE: Improving Semantic Segmentation in Accidents by Fusing Event-based Data (2020) -
• Disentangled Non-Local Neural Networks (2020) -
• ResNeSt: Split-Attention Networks (2020) -
• FDA: Fourier Domain Adaptation for Semantic Segmentation (2020) -
• Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation (2020) -
• Deep High-Resolution Representation Learning for Visual Recognition (2019) -
• Searching for MobileNetV3 (2019) -
• Bidirectional Learning for Domain Adaptation of Semantic Segmentation (2019) -
• In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images (2019) -
• Fast-SCNN: Fast Semantic Segmentation Network (2019) -
• Panoptic Feature Pyramid Networks (2019) -
• Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation (2018) -
• Dual Attention Network for Scene Segmentation (2018) -
• Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation (2018) -