SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark Under Multiple Environments
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- Type
- preprint
- Published
- 2020-11-09
- Cited by
- 19
- References
- 128
- Access
- Open access
- OpenAlex
- https://openalex.org/W3099496485
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:226282079
Keywords
Monocular, Robustness (evolution), Benchmark (surveying), Computer science, Artificial intelligence
References
- Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields
- Designing deep networks for surface normal estimation
- Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture
- Make3D: Learning 3D Scene Structure from a Single Still Image
- Are we ready for autonomous driving? The KITTI vision benchmark suite
- Distinctive Image Features from Scale-Invariant Keypoints
- Computer vision and pattern recognition
- Learning Depth from Single Monocular Images
- Visual topometric localization
- Distinctive Image Features from Scale-Invariant Keypoints Abstract by Matthijs Dorst Based on the paper by
- The Cityscapes Dataset for Semantic Urban Scene Understanding
- VirtualWorlds as Proxy for Multi-object Tracking Analysis
- Deeper Depth Prediction with Fully Convolutional Residual Networks
- The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes
- Structure-from-Motion Revisited
- Unsupervised Monocular Depth Estimation with Left-Right Consistency
- 1 year, 1000 km: The Oxford RobotCar dataset
- Multi-scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation
- Unsupervised Learning of Depth and Ego-Motion from Video
- An open-source development environment for Self- driving vehicles
Cited by
- Exploring the Impacts from Datasets to Monocular Depth Estimation (Mde) Models with Minenavi
- CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers
- Visual Attention-Based Self-Supervised Absolute Depth Estimation Using Geometric Priors in Autonomous Driving
- Robustness Certification of Visual Perception Models via Camera Motion Smoothing
- The OpenCDA Open-Source Ecosystem for Cooperative Driving Automation Research
- The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation
- Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations
- RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
- Double-Domain Adaptation Semantics for Retrieval-Based Long-Term Visual Localization
- Delving Into Multi-Illumination Monocular Depth Estimation: A New Dataset and Method
- Self-supervised Monocular Depth Estimation: Let’s Talk About The Weather
- Domain Adaptation for Self-Supervised Monocular Depth Estimation
- BaseBoostDepth: Exploiting Larger Baselines For Self-supervised Monocular Depth Estimation
- Image depth estimation assisted by multi-view projection
- FSEA: Incorporating domain-specific prior knowledge for few-shot weed detection
- Enhancing Certifiable Semantic Robustness via Robust Pruning of Deep Neural Networks
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