Sequential Place Recognition

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

5 shown of 5 papers with code (6 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Sequential Place Learning: Heuristic-Free High-Performance Long-Term Place Recognition
  2 Mar 2021 1 repository listed
  Sequential matching using hand-crafted heuristics has been standard practice in route-based place recognition for enhancing pairwise similarity results for nearly a decade.
• SeqNet: Learning Descriptors for Sequence-based Hierarchical Place Recognition
  23 Feb 2021 1 repository listed
  Visual Place Recognition (VPR) is the task of matching current visual imagery from a camera to images stored in a reference map of the environment.
• DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place Recognition
  17 Nov 2020 1 repository listed
  Sequence-based place recognition methods for all-weather navigation are well-known for producing state-of-the-art results under challenging day-night or summer-winter transitions.
• Delta Descriptors: Change-Based Place Representation for Robust Visual Localization
  10 Jun 2020 1 repository listed
  Visual place recognition is challenging because there are so many factors that can cause the appearance of a place to change, from day-night cycles to seasonal change to atmospheric conditions.
• A Hybrid Compact Neural Architecture for Visual Place Recognition
  15 Oct 2019 1 repository listed
  State-of-the-art algorithms for visual place recognition, and related visual navigation systems, can be broadly split into two categories: computer-science-oriented models including deep learning or image…