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pith:XZF5JM37

pith:2025:XZF5JM37AXCISRWA2R6Y55B6LB
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Smoothing Slot Attention Iterations and Recurrences

Joni Pajarinen, Juho Kannala, Rongzhen Zhao, Wenyan Yang

SmoothSA improves object-centric learning by smoothing slot attention iterations and recurrences.

arxiv:2508.05417 v5 · 2025-08-07 · cs.CV

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Claims

C1strongest claim

We address these issues with our SmoothSA: (1) To smooth SA iterations on image or video's first frame, we preheat cold-start queries with rich input-feature information, by a tiny module self-distilled inside OCL; (2) To smooth SA recurrences across video's first and non-first frames, we differentiate the homogeneous aggregation transforms by using full and single iterations respectively.

C2weakest assumption

The assumption that a self-distilled tiny module can reliably inject useful sample-specific cues into cold-start queries without introducing new biases or requiring extra supervision, and that switching between full and single iterations is sufficient to handle the information difference between first and non-first frames.

C3one line summary

SmoothSA improves slot attention by preheating cold-start queries on first frames and applying full iterations there versus single iterations on subsequent video frames.

Receipt and verification
First computed 2026-05-28T02:04:42.176377Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

be4bd4b37f05c48946c0d47d8ef43e584d04f13eac4f0899cc4ca4b6857926d0

Aliases

arxiv: 2508.05417 · arxiv_version: 2508.05417v5 · doi: 10.48550/arxiv.2508.05417 · pith_short_12: XZF5JM37AXCI · pith_short_16: XZF5JM37AXCISRWA · pith_short_8: XZF5JM37
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/XZF5JM37AXCISRWA2R6Y55B6LB \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
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Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
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    "submitted_at": "2025-08-07T14:09:33Z",
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