技能 数据科学 顶级会议相关工作撰写指南

顶级会议相关工作撰写指南

v20260724
eccv-related-work
本指南提供了一套系统性的学术论文撰写框架,用于提升论文“相关工作”部分的论证深度。它指导作者如何构建完整的学术谱系,处理截止日期临近的并发工作,确保引文归属的准确性,并学会将简单的文献列表转化为强有力的学术论点。是准备投稿顶级AI会议的必备技巧。
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ECCV Related Work

Use this when auditing novelty positioning for ECCV. The venue's cadence sets the task: since the previous ECCV, two CVPRs and one ICCV have published — for a 2026 submission, that means CVPR 2024, ICCV 2025, and CVPR 2025 (plus early-2026 arXiv) all landed after ECCV 2024. A related-work section that stops at the last even year reads as two years stale.

Coverage sweep, ordered by reviewer expectation

  1. The direct lineage: the three to five papers your method visibly descends from, with the mechanism-level difference stated per paper.
  2. The intervening cycles: CVPR/ICCV work from the odd-year gap that attacks the same task — the in-niche reviewer's first check.
  3. The concurrent band: arXiv papers within a few months of the March deadline; conventions below.
  4. The classical root: pre-deep or early-deep work the task descends from — European panels notice (and reward) correct genealogy more than most venues.

Concurrent-work conventions around a March deadline

  • Treat unpublished arXiv work from the months near the deadline as concurrent: cite it, mark it "(concurrent)", compare qualitatively if feasible, but reviewers cannot require you to beat it. The exact cutoff convention is per-cycle policy — 待核实 in the current author FAQ.
  • ECCV 2026's dual-submission rule defined "publication" as peer-reviewed, accepted, and longer than four pages excluding references — arXiv preprints and tech reports did not count as publications, for your eligibility and for what you can be scooped by.
  • Your own prior arXiv posting is legal (not an anonymity violation), but the submission must cite it in third person like a stranger's work, and must not cite your own public codebase — that link is treated as an identity leak.

Venue attribution hygiene

ECCV's version of record is Springer LNCS, not CVF open access — and vision bibliographies chronically misattribute across the big three. Check each load-bearing citation against the actual proceedings:

Error pattern Example trap Check against
ECCV paper cited as CVPR/ICCV SSD and Perceptual Losses are ECCV 2016, not CVPR SpringerLink link.springer.com/conference/eccv
Sibling paper credited to ECCV Mask R-CNN is ICCV 2017; ResNet is CVPR 2016 CVF open access for CVF venues
arXiv year vs proceedings year Preprint 2025, proceedings 2026 dblp entry
"ECCV" for a workshop paper ECCV workshop ≠ main conference in LNCS subline The specific LNCS volume front matter

Making numbered citations argue

LNCS numeric style hides authorship, so the prose must carry the argument:

Weak:   "Many works study X [4,9,12,17,21]."
Strong: "Two families address X: geometry-based pipelines [4,9] that
         require per-scene optimization, and feed-forward models [12,17]
         that trade accuracy for speed; [21] sits between them but
         assumes calibrated cameras. We remove that assumption."

Every citation cluster should end with the sentence that says what you do differently — otherwise the cluster is a bibliography, not related work.

Differentiation stress test

Before the freeze, answer in one written sentence each:

  • Which single existing paper would a hostile reviewer say already does this?
  • What breaks if that paper's method is run on your exact setting?
  • Which intervening-cycle paper is closest, and does your experiments section actually contain it as a baseline (eccv-experiments)?

If question three's answer is "cited but not compared", fix the experiment or pre-empt in text why comparison is impossible — silence is the reject.

Output format

[Coverage status] <lineage / intervening-cycle / concurrent / classical gaps>
[Attribution audit] <citation -> verified venue, errors found>
[Anonymity conflicts] <own-work citations, repo links to remove>
[Closest rival] <paper -> baseline present? / preempted in text?>
[Cluster rewrites] <bibliography-style cluster -> argument sentence>
信息
Category 数据科学
Name eccv-related-work
版本 v20260724
大小 4.34KB
更新时间 2026-07-28
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