Event-based Object Segmentation

Benchmarks archive 2025-07-28

4 leaderboard tables shown for this task, 4 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

4 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

7 shown of 7 papers with code (8 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.

• Segment Anything
  5 Apr 2023 32 repositories listed Syntology ran 8 of 23 samples · 15 unverified
  We introduce the Segment Anything (SA) project: a new task, model, and dataset for image segmentation.
• Segment Any Events via Weighted Adaptation of Pivotal Tokens
  24 Dec 2023 1 repository listed Syntology ran 6 of 10 samples · 4 unverified
  One pivotal issue at the heart of this endeavor is the precise alignment and calibration of embeddings derived from event-centric data such that they harmoniously coincide with those originating from RGB imagery.
• ESS: Learning Event-based Semantic Segmentation from Still Images
  18 Mar 2022 1 repository listed
  Nonetheless, semantic segmentation with event cameras is still in its infancy which is chiefly due to the lack of high-quality, labeled datasets.
• EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation
  24 Nov 2021 1 repository listed Syntology ran 10 of 17 samples · 7 unverified · 17 pointer-only (licence)
  To enable KD across the unpaired modalities, we first propose a bidirectional modality reconstruction (BMR) module to bridge both modalities and simultaneously exploit them to distill knowledge via the crafted pairs,…
• Dual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image Translation
  4 Sep 2021 1 repository listed Syntology ran 3 of 10 samples · 7 unverified
  Event cameras are novel sensors that perceive the per-pixel intensity changes and output asynchronous event streams with high dynamic range and less motion blur.
• Event-Based Video Reconstruction Using Transformer
  1 Jan 2021 1 repository listed
  Event cameras, which output events by detecting spatio-temporal brightness changes, bring a novel paradigm to image sensors with high dynamic range and low latency.
• High Speed and High Dynamic Range Video with an Event Camera
  15 Jun 2019 1 repository listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  In this work we propose to learn to reconstruct intensity images from event streams directly from data instead of relying on any hand-crafted priors.

Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.