a list of papers, code, dataset and other resources focus on deep learning SLAM sysytem

• DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras [code][paper] NeurIPS 2021 Oral
• Deepvo: Towards end-to-end visual odometry with deep recurrent convolutional neural networks [no code][paper] ICRA 2017
• Unsupervised learning of monocular depth estimation and visual odometry with deep feature reconstruction [no code][paper] CVPR 2018
• Undeepvo: Monocular visual odometry through unsupervised deep learning [code][paper] ICRA 2018
• Deeptam: Deep tracking and mapping [no code][paper] ECCV 2018
• Beyond tracking: Selecting memory and refining poses for deep visual odometry [no code][paper] CVPR 2019
• Sequential adversarial learning for self-supervised deep visual odometry [no code][paper] ICCV 2019
• D2VO: Monocular Deep Direct Visual Odometry [no code][paper] IROS 2020
• Deepfactors: Real-time probabilistic dense monocular slam [no code][paper] IEEE Robotics and Automation Letters, 2020
• Self-supervised deep visual odometry with online adaptation [no code][paper] CVPR 2020
• Voldor: Visual odometry from log-logistic dense optical flow residuals [code][paper] CVPR 2020
• TartanVO: A Generalizable Learning-based VO [code][paper] CoRL 2020
• gradSLAM: Automagically differentiable SLAM, CVPR 2020
• Generalizing to the Open World: Deep Visual Odometry with Online Adaptation [no code][paper] CVPR 2021
• Unsupervised monocular visual odometry based on confidence evaluation [no code][paper] IEEE Transactions on Intelligent Transportation Systems, 2021

• Lo-net: Deep real-time lidar odometry [no code][paper] CVPR 2019
• Self-supervised Visual-LiDAR Odometry with Flip Consistency [no code][paper] WACV 2021
• LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition code ICRA 2022
• SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations code ICRA 2023

• lamar-benchmark ECCV 2022
• TartanAir: A Dataset to Push the Limits of Visual SLAM IROS 2020
• KITTI Odometry