AINewsnow

Do We Still Need Rotation-Invariant Architectures? A Statistical Robustness Benchmark for Point Cloud Classification

arXiv:2611.03952v1 Announce Type: new Abstract: A substantial line of work builds rotation invariance directly into point cloud architectures. We benchmark 10 architectures (PointNet, PointNet++, DGCNN, RIConv, RIConv++, RISurConv, PointMLP, PointTransformer, and the equivariant VN-PointNet and VN-…

Read the full story at arXiv cs.CV ↗

Timeline · 1 report

  1. 2026-11-04 05:00 · arXiv cs.CV
    Do We Still Need Rotation-Invariant Architectures? A Statistical Robustness Benchmark for Point Cloud Classification

More stories

  1. Runway News | Runway Dev is in Claude Code, Codex and Cursor — Runway Research
  2. Marvell to Acquire Lumentum in $115 Billion All-Stock AI Optics Deal — DigiTimes Asia
  3. Schools Will Lose Google Search If They Say No To Google AI — Forbes AI
  4. OpenAI hires former Army Secretary Dan Driscoll as senior counselor for national security — OpenAI News
  5. OpenAI is finally merging ChatGPT’s Chat and Work tabs — TechCrunch AI
  6. Anthropic plans to sell $3.5 billion of shares to Japan investors in IPO, filing shows — Reuters AI
  7. Abu Dhabi's ADNOC, G42 sign deal with OpenAI as Sam Altman travels to UAE — Reuters AI
  8. Oracle cancels $7bn Tencent AI deal under Trump pressure — Financial Times AI

Get the daily brief of stories like this at 6:30 every morning →