Depth Estimation From Monocular Images With Enhanced Encoder-Decoder
Architecture
Depth Estimation From Monocular Images With Enhanced Encoder-Decoder
Architecture
Estimating depth from a single 2D image is a challenging task because of the need for stereo or multi-view data, which normally provides depth information. This paper deals with this challenge by introducing a novel deep learning-based approach using an encoder-decoder architecture, where the Inception-ResNet-v2 model is utilized as the …