Depthformer: Multiscale Vision Transformer for Monocular Depth Estimation with Global Local Information Fusion

Author:

Agarwal Ashutosh1,Arora Chetan1

Affiliation:

1. Indian Institute of Technology,Delhi

Publisher

IEEE

Reference27 articles.

1. An Image Is Worth 16x16 Words: Transformers For Image Recognition At Scale;dosovitskiy;ICLR 2021,0

2. Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions

3. Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

4. End-to-End Object Detection with Transformers;carion;ECCV 2020,0

5. SegFormer: Simple and Efficient Design For Semantic Segmentation With Transformers;xie;NIPS 2021,0

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1. F2Depth: Self-supervised indoor monocular depth estimation via optical flow consistency and feature map synthesis;Engineering Applications of Artificial Intelligence;2024-07

2. SIM-MultiDepth: Self-Supervised Indoor Monocular Multi-Frame Depth Estimation Based on Texture-Aware Masking;Remote Sensing;2024-06-19

3. Chfnet: a coarse-to-fine hierarchical refinement model for monocular depth estimation;Machine Vision and Applications;2024-06-06

4. Dual-branch Monocular Depth Estimation Method with Attention Mechanism;2024 9th International Conference on Electronic Technology and Information Science (ICETIS);2024-05-17

5. Pixel-level Monocular Depth Estimation Based on Global-local Feature Fusion;2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE);2024-05-10

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