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Paper Citation Record · LEDGER

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition

As of 17 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 2 inbound Pith citation observations for arXiv:2506.13133.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.13133 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:40:45.150271Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T13:47:20.784761Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-18T01:55:37.890949Z

Reference resolution

48 of 48 outbound references displayed

  • verified exact0
  • verified fuzzy36
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 68bf5d0f-c421-459b-a10d-c9aa6e9c34dc · outbound

This paper cites Mixvpr: Feature mixing for visual place recognition.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Mixvpr: Feature mixing for visual place recognition

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 755ae600-27fb-4a9f-aa0a-48f056689c2a · outbound

This paper cites Boq: A place is worth a bag of learnable queries.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Boq: A place is worth a bag of learnable queries

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1e4e148c-2350-4fce-81cc-d46c1a8640ed · outbound

This paper cites Fast and incremental loop closure detec- tion using proximity graphs.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Fast and incremental loop closure detec- tion using proximity graphs

Reference 3

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Source-reported events for the cited work

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Observation b52b8216-edb5-4fb1-ba48-5a0ee7f2586b · outbound

This paper cites Fast and incremental method for loop-closure detection using bags of visual words.IEEE transactions on robotics, 24(5):1027–1037, 2008.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Fast and incremental method for loop-closure detection using bags of visual words.IEEE transactions on robotics, 24(5):1027–1037, 2008

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation dfcb4c5f-d02c-4bc4-85a5-954280f0b58c · outbound

This paper cites Arandjelovic and A.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Arandjelovic and A

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 96c135d9-e71c-45e5-98bf-16188a0c4699 · outbound

This paper cites Netvlad: Cnn architecture for weakly supervised place recognition.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Netvlad: Cnn architecture for weakly supervised place recognition

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3a46fcfd-e2ef-4885-9380-cce763c63182 · outbound

This paper cites Hpatches: A benchmark and evaluation of handcrafted and learned local descriptors.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Hpatches: A benchmark and evaluation of handcrafted and learned local descriptors

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a30b5ace-3c06-46bd-899c-35aa15318226 · outbound

This paper cites an unresolved cited work.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Unresolved cited work

Reference 8

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Source-reported events for the cited work

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Observation 5da35380-3616-4321-8f52-ec87df13aaa8 · outbound

This paper cites Speeded-up robust features (surf).Computer vi- sion and image understanding, 110(3):346–359, 2008.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Speeded-up robust features (surf).Computer vi- sion and image understanding, 110(3):346–359, 2008

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c7ea8529-f04c-47d7-b091-505fae15b7f2 · outbound

This paper cites Deep visual geo-localization benchmark.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Deep visual geo-localization benchmark

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4dccf432-8df2-4894-ac76-2ea4db88c31f · outbound

This paper cites Eigenplaces: Training viewpoint robust models for visual place recognition.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Eigenplaces: Training viewpoint robust models for visual place recognition

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5deed8f4-6c12-4363-a471-5b41f904de2e · outbound

This paper cites Total recall: Automatic query expan- sion with a generative feature model for object retrieval.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Total recall: Automatic query expan- sion with a generative feature model for object retrieval

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 8288b55c-ae65-4dcf-927c-53da11b9717f · outbound

This paper cites Fisher vectors: Be- yond bag-of-visual-words image representations.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Fisher vectors: Be- yond bag-of-visual-words image representations

Reference 13

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 14b618f4-4077-4fdb-be98-113592364b40 · outbound

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

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Superpoint: Self-supervised interest point detection and description

Reference 14

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Source-reported events for the cited work

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Observation 088d3963-9626-44e0-8a16-e673f214caf4 · outbound

This paper cites The Faiss library.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition The Faiss library

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:40:41.214977Z digest=sha256:ffa197507b0cad2714b2c72d5ffcfa4832cf4255bd222f02a63d8fc99612ac3f

Observation 7041b2d8-b30d-459d-80d8-2b7bb2e70cd7 · outbound

This paper cites Self-supervising fine-grained region similarities for large-scale image localization.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Self-supervising fine-grained region similarities for large-scale image localization

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6fcfccac-7c88-476d-8666-96602319da39 · outbound

This paper cites Patch-netvlad: Multi-scale fusion of locally-global descriptors for place recognition.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Patch-netvlad: Multi-scale fusion of locally-global descriptors for place recognition

Reference 17

Resolution
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Source-reported events for the cited work

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Observation c28afe18-b162-4df3-bfb4-f4313b7df917 · outbound

This paper cites Optimal transport ag- gregation for visual place recognition.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Optimal transport ag- gregation for visual place recognition

Reference 18

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Source-reported events for the cited work

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Observation 4302f2fb-ac1e-4b4e-a90c-c53635747a7e · outbound

This paper cites Aggregating local descriptors into a compact image representation.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Aggregating local descriptors into a compact image representation

Reference 19

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verified fuzzy
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Source-reported events for the cited work

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Observation 233bbc5f-0637-45a6-9300-d99b1c722911 · outbound

This paper cites Correlation verification for image retrieval.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Correlation verification for image retrieval

Reference 20

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Source-reported events for the cited work

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Observation 6dd05ad1-8774-45bd-8b36-0a1252af6577 · outbound

This paper cites A flexible and efficient loop closure detection based on motion knowledge.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition A flexible and efficient loop closure detection based on motion knowledge

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation bb6a9dbc-4ada-42c6-9429-d4919e52f527 · outbound

This paper cites Distinctive image features from scale- invariant keypoints.International journal of computer vi- sion, 60:91–110, 2004.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Distinctive image features from scale- invariant keypoints.International journal of computer vi- sion, 60:91–110, 2004

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 88a19014-d2a2-4930-b0ae-c5a6430ee127 · outbound

This paper cites Cricavpr: Cross-image correlation-aware representation learning for visual place recognition.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Cricavpr: Cross-image correlation-aware representation learning for visual place recognition

Reference 23

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Source-reported events for the cited work

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Observation 4efbd6dd-a108-496a-8fed-aaf85c298fed · outbound

This paper cites Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition

Reference 24

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Source-reported events for the cited work

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Observation b1ed1266-0d49-4d2c-a3af-8641e5a2405f · outbound

This paper cites 1 year, 1000 km: The oxford robotcar dataset.The International Journal of Robotics Research, 36:3–15, 2017.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition 1 year, 1000 km: The oxford robotcar dataset.The International Journal of Robotics Research, 36:3–15, 2017

Reference 25

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Source-reported events for the cited work

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Observation d51886d5-9de7-4b60-84f0-102335306498 · outbound

This paper cites Seqslam: Visual route-based navigation for sunny summer days and stormy winter nights.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Seqslam: Visual route-based navigation for sunny summer days and stormy winter nights

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 353ce65d-0388-4eae-9cc7-b84529478512 · outbound

This paper cites Orb-slam: A versatile and accurate monocular slam system.IEEE transactions on robotics, 31(5):1147–1163,.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Orb-slam: A versatile and accurate monocular slam system.IEEE transactions on robotics, 31(5):1147–1163,

Reference 27

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Source-reported events for the cited work

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Observation 12be37c2-1b2f-45a6-8faf-0b3b1e877925 · outbound

This paper cites Dinov2: Learning robust visual features without super- vision.Transactions on Machine Learning Research, 2023.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Dinov2: Learning robust visual features without super- vision.Transactions on Machine Learning Research, 2023

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 47b11123-b9b7-4818-a927-a6b146829a79 · outbound

This paper cites Fine- tuning cnn image retrieval with no human annotation.IEEE transactions on pattern analysis and machine intelligence, 41(7):1655–1668, 2018.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Fine- tuning cnn image retrieval with no human annotation.IEEE transactions on pattern analysis and machine intelligence, 41(7):1655–1668, 2018

Reference 29

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Source-reported events for the cited work

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Observation 8d285556-8eeb-4e41-b5c7-2c06af11e74c · outbound

This paper cites Scaling vision with sparse mix- ture of experts.Advances in Neural Information Processing Systems, 34:8583–8595, 2021.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Scaling vision with sparse mix- ture of experts.Advances in Neural Information Processing Systems, 34:8583–8595, 2021

Reference 30

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Source-reported events for the cited work

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Observation b180da81-f967-403b-9850-d489f6073c79 · outbound

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

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Orb: An efficient alternative to sift or surf

Reference 31

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Source-reported events for the cited work

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Observation 8fb0e9c0-d1ec-4b15-8a45-05a43e1d1608 · outbound

This paper cites From coarse to fine: Robust hierarchical localization at large scale.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition From coarse to fine: Robust hierarchical localization at large scale

Reference 32

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Source-reported events for the cited work

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Observation 1d7ee5ba-5b49-40d3-bdcb-b231c1986082 · outbound

This paper cites Superglue: Learning feature matching with graph neural networks.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Superglue: Learning feature matching with graph neural networks

Reference 33

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Observation 8b602582-5978-4064-8ab9-10c56b9c5fb8 · outbound

This paper cites Benchmarking 6dof outdoor visual localization in changing conditions.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Benchmarking 6dof outdoor visual localization in changing conditions

Reference 34

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Observation 9303f7de-6c61-4ed6-8ded-420e220ea5df · outbound

This paper cites Global features are all you need for image retrieval and reranking.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Global features are all you need for image retrieval and reranking

Reference 35

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Observation 7e492877-2561-4973-ac1b-d9df6a77cd2f · outbound

This paper cites Are we there yet? challenging seqslam on a 3000 km journey across all four seasons.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Are we there yet? challenging seqslam on a 3000 km journey across all four seasons

Reference 36

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Observation 1d195b77-8281-4718-af75-c0891f62a9bf · outbound

This paper cites Long-term visual localization revisited.IEEE Transactions on Pattern Analy- sis and Machine Intelligence, 44:2074–2088, 2020.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Long-term visual localization revisited.IEEE Transactions on Pattern Analy- sis and Machine Intelligence, 44:2074–2088, 2020

Reference 37

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Observation 3401e294-db18-4ccc-98d5-c467b663a980 · outbound

This paper cites Ef- fovpr: Effective foundation model utilization for visual place recognition.arXiv preprint arXiv:2405.18065, 2024.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Ef- fovpr: Effective foundation model utilization for visual place recognition.arXiv preprint arXiv:2405.18065, 2024

Reference 38

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Observation 5df2397a-93d1-4a18-ace3-9d82869de480 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 39

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Observation 72467a5d-a22a-433b-8667-17742e7fdf97 · outbound

This paper cites Cosface: Large margin cosine loss for deep face recognition.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Cosface: Large margin cosine loss for deep face recognition

Reference 40

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Source-reported events for the cited work

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Observation b1fb9056-67b7-4dd9-87f8-cbdb98363c32 · outbound

This paper cites Transvpr: Transformer-based place recognition with multi-level attention aggregation.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Transvpr: Transformer-based place recognition with multi-level attention aggregation

Reference 41

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Source-reported events for the cited work

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Observation 247b8839-3036-4d1e-b333-37d2a513977d · outbound

This paper cites Multi-similarity loss with general pair weighting for deep metric learning.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Multi-similarity loss with general pair weighting for deep metric learning

Reference 42

Resolution
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Source-reported events for the cited work

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Observation 898baff2-f4de-462e-b9cc-80b9ec285521 · outbound

This paper cites Mapillary street-level sequences: A dataset for lifelong place recognition.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Mapillary street-level sequences: A dataset for lifelong place recognition

Reference 43

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verified fuzzy
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Observation 3793689b-99ce-422d-bdc6-48ff294a81da · outbound

This paper cites Asymmetric feature fusion for image retrieval.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Asymmetric feature fusion for image retrieval

Reference 44

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verified fuzzy
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Observation 25029a14-d822-4d11-82b3-32893039954d · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition mixup: Beyond Empirical Risk Minimization

Reference 45

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Observation 5eab2b78-362e-471e-adee-2e984d469744 · outbound

This paper cites Etr: An efficient transformer for re- 10 ranking in visual place recognition.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Etr: An efficient transformer for re- 10 ranking in visual place recognition

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:40:45.880925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9b904a9e-8071-4db9-b1a5-c9c1a8b0920f · outbound

This paper cites R2former: Unified retrieval and reranking transformer for place recognition.

EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition R2former: Unified retrieval and reranking transformer for place recognition

Reference 47

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation bf327173-c957-434f-abe0-e29ba2a7e9ab · outbound

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EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition Unresolved cited work

Reference 48

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Pith citing papers

Observation 113ecbb2-eb25-4550-b22e-b30fbc27c300 · inbound

SAGE: Spatial-visual Adaptive Graph Exploration for Efficient Visual Place Recognition cites this paper.

SAGE: Spatial-visual Adaptive Graph Exploration for Efficient Visual Place Recognition EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition

Reference 3

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Observation 9eec0e73-a086-434f-98a0-3b396ca523fb · inbound

OmniTrack++: Omnidirectional Multi-Object Tracking by Learning Large-FoV Trajectory Feedback cites this paper.

OmniTrack++: Omnidirectional Multi-Object Tracking by Learning Large-FoV Trajectory Feedback EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition

Reference 91

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arxiv_id, observed 2026-05-18T01:55:37.894043Z

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