ELDepth: Extreme Low-Power Monocular Depth Estimation for mobile devices
- U-Net: Convolutional Networks for Biomedical Image Segmentation
- Squeeze U-Net: A Memory and Energy Efficient Image Segmentation Network
- LiteDepth: Digging into Fast and AccurateDepth Estimation on Mobile Devices
- DIODE: A Dense Indoor and Outdoor DEpth Dataset
- NYU Depth Dataset V2
- The KITTI Vision Benchmark Suite
- Model destilltion (base code)[https://keras.io/examples/keras_recipes/better_knowledge_distillation/]
- Dynamic quantization
- SSL
- visualization as in https://github.com/aim-uofa/AdelaiDepth