SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models | Paper Citation Record

Observation 03ce0327-8c8d-41cc-ac49-422f27b2f6a9 · outbound

This paper cites Gsv-cities: Toward appropriate supervised visual place recognition.Neurocomputing, 513:194–203, 2022.

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Gsv-cities: Toward appropriate supervised visual place recognition.Neurocomputing, 513:194–203, 2022

Reference 1

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Observation 480b177a-d4d4-473e-ab4b-b98bc0c5ddcd · outbound

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

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Mixvpr: Feature mixing for visual place recognition

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:50.962691Z

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Observation 7c35f6c4-b19b-4da6-82da-247a6f20e774 · outbound

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

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Boq: A place is worth a bag of learnable queries

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:50.946349Z

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Observation 0f137c13-b1e9-40c3-a6b0-bfe1f8c233bb · 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.

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models 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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Observation 763a6332-b0fc-42e1-bbd3-3e3c79f7ec81 · outbound

This paper cites Google street view: Capturing the world at street level.Computer, 43:32–38, 2010.

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Google street view: Capturing the world at street level.Computer, 43:32–38, 2010

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:50.918408Z

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Observation 6e33d617-33f6-4605-883e-d80a9ef9dcc4 · outbound

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

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Netvlad: Cnn architecture for weakly supervised place recognition

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:50.902977Z

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Observation 969853cb-200a-427e-a457-2a8c61e929f1 · outbound

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

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Speeded-up robust features (surf).Computer vi- sion and image understanding, 110(3):346–359, 2008

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:50.887233Z

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Observation d57c1bc2-fd22-4547-8e67-b6112a3033e8 · outbound

This paper cites Viewpoint invariant dense matching for vi- sual geolocalization.

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Viewpoint invariant dense matching for vi- sual geolocalization

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:50.871774Z

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Observation 6d87a75a-0ffd-47a7-9c35-e8487c316eb3 · outbound

This paper cites Re- thinking visual geo-localization for large-scale applications.

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Re- thinking visual geo-localization for large-scale applications

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:50.856558Z

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Observation 417f0983-512b-4122-8625-342154d841b1 · outbound

This paper cites Deep visual geo-localization benchmark.

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Deep visual geo-localization benchmark

Reference 10

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Observation a5e08d40-b834-4301-8c2a-b9fe0a690932 · outbound

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

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Eigenplaces: Training viewpoint robust models for visual place recognition

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:50.832301Z

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Observation 192575f2-06e3-4908-88a7-408fa6183ca9 · outbound

This paper cites Deep learning features at scale for visual place recognition.

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Deep learning features at scale for visual place recognition

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:50.817777Z

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Observation f390bf2f-baab-4fde-8c16-a647cf58dc5b · outbound

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

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Fisher vectors: Be- yond bag-of-visual-words image representations

Reference 13

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Observation 8238d572-fdad-4e2c-ba3f-9b4a0fad8b14 · outbound

This paper cites Learning to reduce scale differences for large- scale invariant image matching.IEEE Transactions on Cir- cuits and Systems for Video Technology, 2022.

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Learning to reduce scale differences for large- scale invariant image matching.IEEE Transactions on Cir- cuits and Systems for Video Technology, 2022

Reference 14

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Observation fde3a754-b0fb-4dc4-b9f2-d8a9df7517a5 · outbound

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

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Self-supervising fine-grained region similarities for large-scale image localization

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:50.777422Z

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Observation e7cf497e-8cb5-4824-9f0f-ee696eaba3f9 · outbound

This paper cites Ghost-dil-NetVLAD: A Lightweight Neural Network for Visual Place Recognition.

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Ghost-dil-NetVLAD: A Lightweight Neural Network for Visual Place Recognition

Reference 16

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Observation 621351bf-b913-4fde-9459-2771c3fa4a4d · outbound

This paper cites Design space exploration of low-bit quantized neural networks for visual place recogni- tion.IEEE Robotics and Automation Letters, 2024.

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Design space exploration of low-bit quantized neural networks for visual place recogni- tion.IEEE Robotics and Automation Letters, 2024

Reference 17

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Observation b3548735-2db0-4b4b-b182-9d46f47de671 · outbound

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

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Patch-netvlad: Multi-scale fusion of locally-global descriptors for place recognition

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:50.744228Z

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Observation 741e169b-41da-42b3-8133-2374ff5610e6 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Distilling the Knowledge in a Neural Network

Reference 19

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Observation 23dc4235-5ef6-459a-82f4-09dd927e8dd2 · outbound

This paper cites Bocnf: efficient im- age matching with bag of convnet features for scalable and robust visual place recognition.Autonomous Robots, page 1169–1185, 2018.

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Bocnf: efficient im- age matching with bag of convnet features for scalable and robust visual place recognition.Autonomous Robots, page 1169–1185, 2018

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:50.729793Z

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Observation 30b0697e-096f-41c3-a7a8-275aa4f5421c · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 21

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Observation 57857d76-ef2b-4184-89b6-57c3963f849b · outbound

This paper cites Squeeze-and-excitation net- works.

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Squeeze-and-excitation net- works

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:50.715109Z

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Observation 43fc980d-1be8-4152-933e-2a5a6133e63f · outbound

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

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Optimal transport ag- gregation for visual place recognition

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:50.700397Z

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Observation 43db45d5-b02e-4779-a753-4ccb33e952d3 · outbound

This paper cites Close, But Not There: Boosting Geographic Distance Sensitivity in Visual Place Recognition.

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Close, But Not There: Boosting Geographic Distance Sensitivity in Visual Place Recognition

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Resolution: verified exact; local_arxiv, observed 2026-08-07T00:42:50.256617Z

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Observation efd4753c-b67a-4dfd-897b-33cde0e1f192 · outbound

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

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Aggregating local descriptors into a compact image representation

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Observation 763ea514-e461-42d9-8047-9bb5a62b1be5 · outbound

This paper cites Anyloc: Towards universal vi- sual place recognition.IEEE Robotics and Automation Let- ters, 2023.

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Anyloc: Towards universal vi- sual place recognition.IEEE Robotics and Automation Let- ters, 2023

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:50.672974Z

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Observation b3a623b2-57a3-4b08-ab8f-58ef14ac3a0b · outbound

This paper cites Segment any- thing.

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Segment any- thing

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Observation d2e85645-59a7-47c0-b224-8b2593a421aa · outbound

This paper cites LightGlue: Local Feature Matching at Light Speed.

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models LightGlue: Local Feature Matching at Light Speed

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Observation 6a3c002f-8a38-4cf5-923d-02b088f8f00e · outbound

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

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models A flexible and efficient loop closure detection based on motion knowledge

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Observation 0a7dcfac-f7a1-44c8-aeeb-8de8ba2f20cb · outbound

This paper cites Npr: Nocturnal place recognition us- ing nighttime translation in large-scale training procedures.

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Npr: Nocturnal place recognition us- ing nighttime translation in large-scale training procedures

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:50.615459Z

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Observation c6733b73-9672-42af-9c0e-2e7a33406db1 · outbound

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

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Distinctive image features from scale- invariant keypoints.International journal of computer vi- sion, 60:91–110, 2004

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Observation 543716b8-33be-477f-928b-f539ef23d5f2 · outbound

This paper cites Visual place recognition: A survey.ieee transactions on robotics, 32:1–19, 2015.

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Visual place recognition: A survey.ieee transactions on robotics, 32:1–19, 2015

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:50.590703Z

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Observation 4b541014-5738-4672-9d14-2e88fda6ac9d · outbound

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

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Cricavpr: Cross-image correlation-aware representation learning for visual place recognition

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Observation c0dc21c4-2409-47b6-8669-b56c27ecda59 · outbound

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

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition

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Observation 16afaccf-a5c4-427a-9789-d22110c85333 · outbound

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

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Seqslam: Visual route-based navigation for sunny summer days and stormy winter nights

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Observation 41bc8c32-0761-4c98-9e42-0e1dc1593842 · outbound

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

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Dinov2: Learning robust visual features without super- vision.Transactions on Machine Learning Research, 2023

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Observation 3515f1ef-173f-4c11-be8f-f9a7ba8584c0 · outbound

This paper cites At- tentional pyramid pooling of salient visual residuals for place recognition.

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models At- tentional pyramid pooling of salient visual residuals for place recognition

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Observation cb32bd3e-2538-41a9-b8bc-8b1719403007 · 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.

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Fine- tuning cnn image retrieval with no human annotation.IEEE transactions on pattern analysis and machine intelligence, 41(7):1655–1668, 2018

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:50.525509Z

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Observation 4881dd52-16df-4768-9454-7a9044ba7112 · outbound

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

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Orb: An efficient alternative to sift or surf

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Observation 4ac099ec-9876-4366-87c5-ef882eba6bf1 · outbound

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

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Superglue: Learning feature matching with graph neural networks

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Observation 2a5790da-df23-4e62-bca8-b7ce1c4c5e75 · outbound

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

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Benchmarking 6dof outdoor visual localization in changing conditions

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Observation cba24d1d-2f8d-476d-9e0a-97ec323413c3 · outbound

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

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Are we there yet? challenging seqslam on a 3000 km journey across all four seasons

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Observation 30c23c4c-3a5b-407d-a427-630d7d5d85da · outbound

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

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Long-term visual localization revisited.IEEE Transactions on Pattern Analy- sis and Machine Intelligence, 44:2074–2088, 2020

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Observation 13fbdff3-1e3f-43d6-9d88-371a636648c2 · outbound

This paper cites Visual place recognition with repetitive structures.

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Visual place recognition with repetitive structures

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:50.455186Z

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Observation efacee08-18f8-4ff0-ab4f-a02d0a096d17 · outbound

This paper cites 24/7 place recognition by view synthesis.IEEE Transactions on Pattern Analysis and Ma- chine Intelligence, page 14, 2017.

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models 24/7 place recognition by view synthesis.IEEE Transactions on Pattern Analysis and Ma- chine Intelligence, page 14, 2017

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:50.440435Z

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Observation 0c2b572d-3686-4b03-8308-72f02bc768c6 · outbound

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

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Ef- fovpr: Effective foundation model utilization for visual place recognition.arXiv preprint arXiv:2405.18065, 2024

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Observation f0ccc697-febc-472a-98ca-767aad325396 · outbound

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

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Transvpr: Transformer-based place recognition with multi-level attention aggregation

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:50.426429Z

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Observation 26b0c800-a975-4f70-a5be-d96c3d9d45da · outbound

This paper cites Dust3r: Geometric 3d vi- sion made easy.

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Dust3r: Geometric 3d vi- sion made easy

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Observation 79284974-a379-44bd-a5a8-dcd173463a1f · outbound

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

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Multi-similarity loss with general pair weighting for deep metric learning

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:50.399025Z

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Observation 97de3895-ae85-4860-994e-2f0da135b562 · outbound

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

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Mapillary street-level sequences: A dataset for lifelong place recognition

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:50.384386Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c3f56666-e76e-4248-9565-e4dcc1ee57fb · outbound

This paper cites Cbam: Convolutional block attention module.

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Cbam: Convolutional block attention module

Reference 51

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Observation 0b38ef60-9dda-4bbe-99f1-e83dad9ab830 · outbound

This paper cites Asymmetric feature fusion for image retrieval.

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Asymmetric feature fusion for image retrieval

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:50.027197Z

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Observation 27608605-9f7a-48f1-954f-c7fa98a8e4f6 · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Depth anything: Unleashing the power of large-scale unlabeled data

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:50.031834Z

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Observation ee74bd9d-923d-41d3-92ef-ca4fd4b3c38c · outbound

This paper cites Amstertime: A visual place recognition benchmark dataset for severe domain shift.

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models Amstertime: A visual place recognition benchmark dataset for severe domain shift

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:50.340098Z

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Observation ff177e3f-e3f5-40a2-8502-287c80bc76c3 · outbound

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

SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models R2former: Unified retrieval and reranking transformer for place recognition

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:42:50.325477Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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