MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing | Paper Citation Record

Observation 40a6266d-e8c6-4c13-aa3d-57f854916094 · outbound

This paper cites The euroc micro aerial vehicle datasets.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing The euroc micro aerial vehicle datasets

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:09.147975Z

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Observation af25b31e-ef6c-4f60-9654-8a843db90759 · outbound

This paper cites PRISM: PRogressive dependency maxImization for Scale-invariant image Matching.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing PRISM: PRogressive dependency maxImization for Scale-invariant image Matching

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-10T23:40:08.381347Z

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Observation 4c840a51-4bd1-4d68-a56c-b372c2e59a43 · outbound

This paper cites Orb-slam3: An accu- rate open-source library for visual, visual–inertial, and mul- timap slam.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Orb-slam3: An accu- rate open-source library for visual, visual–inertial, and mul- timap slam

Reference 3

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Observation 1da53aa5-9c13-47d5-9ef4-030ef1b3b328 · outbound

This paper cites Locally opti- mized ransac.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Locally opti- mized ransac

Reference 4

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Observation 00c48565-b73e-48a3-9f20-6132558e9124 · outbound

This paper cites Vidloc: A deep spatio-temporal model for 6-dof video-clip relocalization.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Vidloc: A deep spatio-temporal model for 6-dof video-clip relocalization

Reference 5

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Observation 0a69f175-0a75-41c8-8f45-7f2227e84cd8 · outbound

This paper cites Vinet: Visual-inertial odometry as a sequence-to-sequence learning problem.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Vinet: Visual-inertial odometry as a sequence-to-sequence learning problem

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:09.094090Z

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Observation 7d750b58-81b5-4b25-a0da-784ad9690a64 · outbound

This paper cites Learning to solve non- linear least squares for monocular stereo.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Learning to solve non- linear least squares for monocular stereo

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:09.080280Z

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Observation 01725709-f02e-4a08-8247-6c03961c8af2 · outbound

This paper cites Deepfactors: Real-time probabilistic dense monocular slam.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Deepfactors: Real-time probabilistic dense monocular slam

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:09.065940Z

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Observation 41b37db8-6ef0-437e-bf3c-017006435ce5 · outbound

This paper cites Factor graphs and gtsam: A hands-on in- troduction.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Factor graphs and gtsam: A hands-on in- troduction

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:09.050813Z

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Observation 48bba225-8264-43bf-a505-73c951e08aba · outbound

This paper cites Superpoint: Self-supervised interest point detection and description.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Superpoint: Self-supervised interest point detection and description

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:09.034866Z

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Observation 39d2bb02-ceee-4d1c-b944-2041d8da2a51 · outbound

This paper cites Lsd- slam: Large-scale direct monocular slam.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Lsd- slam: Large-scale direct monocular slam

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:09.019126Z

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Observation 80a238bd-f51e-4d77-b273-0283cc7058cc · outbound

This paper cites Svo: Fast semi-direct monocular visual odometry.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Svo: Fast semi-direct monocular visual odometry

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:09.003696Z

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Observation 72bfbfa2-ea79-4b66-8aac-f88e55c750f1 · outbound

This paper cites an unresolved cited work.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Unresolved cited work

Reference 13

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Observation cd84d3c7-3042-40d1-a0e7-31ddc967d03a · outbound

This paper cites Ldso: Direct sparse odometry with loop closure.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Ldso: Direct sparse odometry with loop closure

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:08.973470Z

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Observation 99b02084-529c-49b8-a047-aef5c6596f99 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 15

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Observation e1e23782-bc2d-4420-a43d-837b188c45b4 · outbound

This paper cites Openvins: A research platform for visual-inertial estimation.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Openvins: A research platform for visual-inertial estimation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:08.948746Z

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Observation 42f7aad0-988b-403b-b0a0-f95e6eaa949b · outbound

This paper cites evo: Python package for the evalua- tion of odometry and slam.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing evo: Python package for the evalua- tion of odometry and slam

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T23:40:07.828018Z

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Observation 9475dcd1-aff5-48ed-9384-446e06b7fbdb · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 18

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Observation 818a2245-b488-4df5-b4d1-44daeb4dd555 · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Efficiently Modeling Long Sequences with Structured State Spaces

Reference 19

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Observation 481bf0de-5e3f-43e5-bfed-3f0b6134e61e · outbound

This paper cites On the parameterization and initialization of diagonal state space models.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing On the parameterization and initialization of diagonal state space models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:08.922793Z

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Observation f076f6f3-710e-4961-8ff2-8148b772923c · outbound

This paper cites From variance to veracity: Unbundling and mitigating gradient variance in differentiable bundle adjustment layers.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing From variance to veracity: Unbundling and mitigating gradient variance in differentiable bundle adjustment layers

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:08.907056Z

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Observation 9996440f-31f9-4fff-ac96-65b91a6b31cb · outbound

This paper cites Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation

Reference 22

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Observation a105357d-e5ec-4327-9f62-c522f5ce59ef · outbound

This paper cites Roco: Robust cooperative perception by iterative object matching and pose adjustment.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Roco: Robust cooperative perception by iterative object matching and pose adjustment

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:08.891861Z

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Observation 351323a9-60c7-44e2-9287-7fd2bcb05eb3 · outbound

This paper cites Dense slam meets automatic differentiation.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Dense slam meets automatic differentiation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:08.876297Z

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Observation 7886360c-07e8-4d94-9a6b-4f74ac0f9162 · outbound

This paper cites Splatam: Splat track & map 3d gaussians for dense rgb-d slam.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Splatam: Splat track & map 3d gaussians for dense rgb-d slam

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:08.861729Z

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Observation 3254d35e-f813-4d9e-9913-cb3f334daa9f · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing 3d gaussian splatting for real-time radiance field rendering

Reference 26

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Observation 2d2731f4-71bb-4d72-89d4-3642e69f5f38 · outbound

This paper cites g 2 o: A general frame- work for graph optimization.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing g 2 o: A general frame- work for graph optimization

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:08.835910Z

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Observation 8fabe396-7d06-4408-8a6d-ca6ace5ba2cf · outbound

This paper cites PoseLib - Minimal Solvers for Camera Pose Estimation, 2020.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing PoseLib - Minimal Solvers for Camera Pose Estimation, 2020

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:08.821317Z

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Observation c574a8b3-4361-48b2-8816-b02ceddbf2c2 · outbound

This paper cites VideoMamba: State Space Model for Efficient Video Understanding.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing VideoMamba: State Space Model for Efficient Video Understanding

Reference 29

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Observation 9f5918cb-412a-4aa9-9aab-0bb86a2cc8dc · outbound

This paper cites Undeepvo: Monocular visual odometry through unsuper- vised deep learning.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Undeepvo: Monocular visual odometry through unsuper- vised deep learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:08.804982Z

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Observation aac840f8-c031-42e5-b718-fbf4e3f55535 · outbound

This paper cites Colslam: A versatile collaborative slam system for mobile phones using point-line features and map caching.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Colslam: A versatile collaborative slam system for mobile phones using point-line features and map caching

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:08.788080Z

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Observation 1d8cdd19-c8f0-417b-b4b0-667553b627a2 · outbound

This paper cites CollaMamba: Efficient Collaborative Perception with Cross-Agent Spatial-Temporal State Space Model.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing CollaMamba: Efficient Collaborative Perception with Cross-Agent Spatial-Temporal State Space Model

Reference 32

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Observation 3bec85c2-584a-4327-9ac1-d70f30ac0d95 · outbound

This paper cites Scale invariant feature transform.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Scale invariant feature transform

Reference 33

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Observation 3c876322-803c-41b4-afc8-921bb656c562 · outbound

This paper cites Deep Patch Vi- sual SLAM.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Deep Patch Vi- sual SLAM

Reference 34

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Observation 8b81598e-df95-4744-889b-f0d07469fcb4 · outbound

This paper cites DeepVO: A Deep Learning approach for Monocular Visual Odometry.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing DeepVO: A Deep Learning approach for Monocular Visual Odometry

Reference 35

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Observation 47e9d310-ac5d-4910-92fe-62bd8dc9ffec · outbound

This paper cites Learning correspondence uncer- tainty via differentiable nonlinear least squares.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Learning correspondence uncer- tainty via differentiable nonlinear least squares

Reference 36

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Observation c225265a-dddc-4885-97f0-f1b2a6dd511e · outbound

This paper cites Orb-slam2: An open- source slam system for monocular, stereo, and rgb-d cam- eras.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Orb-slam2: An open- source slam system for monocular, stereo, and rgb-d cam- eras

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:08.725371Z

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Observation 52c065c9-c5f7-4811-bb08-9f89ad45d64f · outbound

This paper cites Orb-slam: a versatile and accurate monocular slam system.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Orb-slam: a versatile and accurate monocular slam system

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T23:40:07.925224Z

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Observation 8cc8b588-be5b-4d61-8c2b-c3e05f09b9cf · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing DINOv2: Learning Robust Visual Features without Supervision

Reference 39

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Observation 64779219-9fdc-4255-bc73-efa73a8879ab · outbound

This paper cites Theseus: A Library for Differentiable Nonlinear Optimization.Advances in Neu- ral Information Processing Systems, 2022.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Theseus: A Library for Differentiable Nonlinear Optimization.Advances in Neu- ral Information Processing Systems, 2022

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:08.700245Z

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Observation 5017344d-3168-4576-9f3a-d018a57a0db1 · outbound

This paper cites Vins-mono: A robust and versatile monocular visual-inertial state estimator.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Vins-mono: A robust and versatile monocular visual-inertial state estimator

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:08.684871Z

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Observation e0857229-da69-4562-87fa-30a2eb8bfb2c · outbound

This paper cites Deep fundamental matrix estimation.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Deep fundamental matrix estimation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:08.668611Z

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Observation 38807265-adaf-4ee5-a2f7-72846187c78e · outbound

This paper cites Orb: An efficient alternative to sift or surf.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Orb: An efficient alternative to sift or surf

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T23:40:07.946358Z

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Observation 4a8679d0-9fe0-4bb9-80bc-96fd40e0b97b · outbound

This paper cites Structure-from-motion revisited.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Structure-from-motion revisited

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:08.644824Z

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Observation e7da433b-db06-42c5-9b41-1330e445ecf8 · outbound

This paper cites Dytanvo: Joint refinement of visual odometry and motion segmentation in dynamic environments.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Dytanvo: Joint refinement of visual odometry and motion segmentation in dynamic environments

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:08.631280Z

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Observation 6ec150a4-6993-4558-9fef-b97d065399a4 · outbound

This paper cites Sturm, N.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Sturm, N

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:08.617976Z

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Observation bf7cfb1e-cc90-4246-9ffc-21bd87f65356 · outbound

This paper cites BA-Net: Dense Bundle Adjustment Network.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing BA-Net: Dense Bundle Adjustment Network

Reference 47

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Observation b2bc0ebd-6361-4d4b-a725-a2a852bda64a · outbound

This paper cites DeepV2D: Video to Depth with Differentiable Structure from Motion.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing DeepV2D: Video to Depth with Differentiable Structure from Motion

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T23:40:07.968049Z

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Observation e7b36f2e-08ab-4ff4-9c86-11abba63c3f9 · outbound

This paper cites Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:08.603579Z

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Observation bc294ed3-7a5d-4dfe-8188-497bf5246fd4 · outbound

This paper cites Tangent space backpropa- gation for 3d transformation groups.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Tangent space backpropa- gation for 3d transformation groups

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:08.589018Z

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Observation 67c16057-45fa-49f1-b088-3d775efb0069 · outbound

This paper cites Deep patch vi- sual odometry.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Deep patch vi- sual odometry

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:08.573878Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f5d1dacd-b90b-4653-b834-8adb5ca18c7c · outbound

This paper cites SfM-Net: Learning of Structure and Motion from Video.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing SfM-Net: Learning of Structure and Motion from Video

Reference 52

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Observation dc13619f-6f5b-44bc-a92e-acb86c173072 · outbound

This paper cites Deepvo: Towards end-to-end visual odometry with deep re- current convolutional neural networks.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Deepvo: Towards end-to-end visual odometry with deep re- current convolutional neural networks

Reference 53

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Observation 871b89c3-fc60-493e-abd0-1b668ebc3443 · outbound

This paper cites Communication efficient, distributed relative state estimation in uav networks.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Communication efficient, distributed relative state estimation in uav networks

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:08.544393Z

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Observation a368e02b-9443-413a-b4c4-51d9a476eb7e · outbound

This paper cites Distributed relative localization algorithms for multi- robot networks: A survey.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Distributed relative localization algorithms for multi- robot networks: A survey

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:08.529913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cfb590b8-52ec-407c-9aa6-527da3db1021 · outbound

This paper cites Gslamot: A tracklet and query graph-based simultaneous locating, map- ping, and multiple object tracking system.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Gslamot: A tracklet and query graph-based simultaneous locating, map- ping, and multiple object tracking system

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:08.514328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ad743b47-a1fa-46cf-8963-00af68489a4a · outbound

This paper cites Tartanair: A dataset to push the limits of visual slam.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Tartanair: A dataset to push the limits of visual slam

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:08.499237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 23db8daa-6766-4306-8352-8adf02a375dd · outbound

This paper cites Tartanvo: A generalizable learning-based vo.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Tartanvo: A generalizable learning-based vo

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:08.483032Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 93da1ebe-a4ef-4f45-a85f-1248b36fa8ab · outbound

This paper cites Efficient loftr: Semi-dense local feature matching with sparse-like speed.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Efficient loftr: Semi-dense local feature matching with sparse-like speed

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:08.466694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8cc01eb4-fb20-4495-a1a9-0c13fafaba9f · outbound

This paper cites Pop-up slam: Semantic monocular plane slam for low-texture environments.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Pop-up slam: Semantic monocular plane slam for low-texture environments

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:08.451477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b92d601f-505d-4be6-92cb-d50c65763759 · outbound

This paper cites D$^3$FlowSLAM: Self-Supervised Dynamic SLAM with Flow Motion Decomposition and DINO Guidance.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing D$^3$FlowSLAM: Self-Supervised Dynamic SLAM with Flow Motion Decomposition and DINO Guidance

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-10T23:40:08.129640Z

Source-reported events for the cited work

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Observation da9b2ada-9302-4765-9c90-a5511cf8cbec · outbound

This paper cites Go-slam: Global optimization for consistent 3d in- stant reconstruction.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Go-slam: Global optimization for consistent 3d in- stant reconstruction

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:08.436633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8e052e11-068b-4db6-9c3e-907339cccc92 · outbound

This paper cites Determining the epipolar geometry and its uncertainty: A review.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Determining the epipolar geometry and its uncertainty: A review

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:08.422287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 44c563d8-3092-4eca-944b-8df1c4fdad8d · outbound

This paper cites Revisiting the pnp problem: A fast, general and optimal solution.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Revisiting the pnp problem: A fast, general and optimal solution

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:40:08.407776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6f1f300d-e924-4c7b-a211-e49742a8092b · outbound

This paper cites Unsupervised learning of depth and ego-motion from video.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Unsupervised learning of depth and ego-motion from video

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-10T23:40:08.149516Z

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Observation 90b5fe3d-b7e9-486b-855e-6284af166410 · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-10T23:40:08.154265Z

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