DensePASS

Overview edit

Variants: DensePASS

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:

• Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation (2022) -
• Understanding The Robustness in Vision Transformers (2022) -
• Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation (2022) -
• DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation (2021) -
• MetaFormer Is Actually What You Need for Vision (2021) -
• Transfer beyond the Field of View: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation (2021) -
• DPT: Deformable Patch-based Transformer for Visual Recognition (2021) -
• CycleMLP: A MLP-like Architecture for Dense Prediction (2021) -
• AS-MLP: An Axial Shifted MLP Architecture for Vision (2021) -
• SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers (2021) -
• Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation (2021) -
• Capturing Omni-Range Context for Omnidirectional Segmentation (2021) -
• Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions (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) -
• Real-time Semantic Segmentation with Fast Attention (2020) -
• Disentangled Non-Local Neural Networks (2020) -
• Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation (2020) -
• DS-PASS: Detail-Sensitive Panoramic Annular Semantic Segmentation through SwaftNet for Surrounding Sensing (2019) -
• Confidence Regularized Self-Training (2019) -