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pith:O5FPJH7I

pith:2026:O5FPJH7I2B4HNHMA5SHOEQKEEE
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TrajTok: Learning Trajectory Tokens enables better Video Understanding

Ashutosh Kumar, Chenhao Zheng, Chun-Liang Li, Jianing Zhang, Jieyu Zhang, Oncel Tuzel, Quan Kong, Ranjay Krishna, Weikai Huang

TrajTok learns trajectory tokens end-to-end through implicit space-time clustering to improve video model accuracy and efficiency.

arxiv:2602.22779 v3 · 2026-02-26 · cs.CV

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2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
Portable graph bundle live · download bundle · merged state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

With TrajTok, we implement a video CLIP model trained from scratch (TrajViT2). It achieves the best accuracy at scale across both classification and retrieval benchmarks, while maintaining efficiency comparable to the best token-merging methods.

C2weakest assumption

That implicit clustering of pixels in space and time will produce trajectories that are semantically useful for downstream video understanding tasks when the segmenter is co-trained only for adaptability rather than pixel-level fidelity.

C3one line summary

TrajTok learns adaptive trajectory tokens for videos through a unified end-to-end segmenter, improving understanding performance and efficiency over patch-based or external-pipeline tokenizers.

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Receipt and verification
First computed 2026-06-04T01:08:46.329945Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

774af49fe8d078769d80ec8ee24144212348484984fc484b38ae6301fddf0def

Aliases

arxiv: 2602.22779 · arxiv_version: 2602.22779v3 · doi: 10.48550/arxiv.2602.22779 · pith_short_12: O5FPJH7I2B4H · pith_short_16: O5FPJH7I2B4HNHMA · pith_short_8: O5FPJH7I
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/O5FPJH7I2B4HNHMA5SHOEQKEEE \
  | 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())"
# expect: 774af49fe8d078769d80ec8ee24144212348484984fc484b38ae6301fddf0def
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
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    "submitted_at": "2026-02-26T09:15:34Z",
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