Signals 4 · free daily AI digest

Lossy Event Compression: From Event Stream Distortion to Task Performance

Paper recorded by Signals 4 on 2026-08-28 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-08-28 on arXiv · recorded by Signals 4 on 2026-08-31

Category: cs.CV · 计算机视觉 · first seen 2026-08-31

Abstract

Event cameras generate asynchronous, sparse data streams with microsecond temporal resolution, but in moderate-to-high motion scenes they can produce as many as hundreds of millions of events per second, creating significant bandwidth and storage challenges. Lossy compression is therefore essential for practical deployment, yet existing event stream distortion metrics fail to reliably predict comp

Read on arXiv →

#229 most recent of 237 cs.CV papers we have recorded · ↑ newer: Prompt-Guided Interactive Segmentation of Interstitial Lung Disease in · ↓ older: How Far Can 5,500 Hours of Driving Take You? A Scaling Law Analysis of
Cite this page: Lossy Event Compression: From Event Stream Distortion to Task Performance: the #229 most recent of 237 cs.CV papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/lossy-event-compression-from-event-stream-distortion-to-task-performance.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
Related: More cs.CV papers · arXiv signals · All papers · Today in AI
Get 4 AI signals a day by email — free.
Subscribe free → See all plans →
Get 4 AI signals a day by email — free
All models · All repos · By company · Daily editions