Pith Number

pith:ZKUCKW7R

pith:2019:ZKUCKW7RUB6BDQIVXZWSPXKUSJ

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EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Mingxing Tan, Quoc V. Le

Scaling depth, width, and resolution together with one compound coefficient produces more accurate and efficient convolutional networks than scaling any single dimension.

arxiv:1905.11946 v5 · 2019-05-28 · cs.LG · cs.CV · stat.ML

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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

our EfficientNet-B7 achieves state-of-the-art 84.3% top-1 accuracy on ImageNet, while being 8.4x smaller and 6.1x faster on inference than the best existing ConvNet.

C2weakest assumption

The scaling ratios found by grid search on the small baseline network remain near-optimal when applied to much larger models and across different datasets and tasks.

C3one line summary

EfficientNet scales network depth, width, and resolution uniformly via a compound coefficient to deliver state-of-the-art accuracy and efficiency on image classification.

References

52 extracted · 52 resolved · 7 Pith anchors

[1] Berg, T., Liu, J., Woo Lee, S., Alexander, M. L., Jacobs, D. W., and Belhumeur, P. N. Birdsnap: Large-scale fine-grained visual categorization of birds. CVPR, pp.\ 2011--2018, 2014 2011

[2] Food-101--mining discriminative components with random forests 2014

[3] Proxylessnas: Direct neural architecture search on target task and hardware 2019

[4] Xception: Deep learning with depthwise separable convolutions 2017

[5] D., Zoph, B., Mane, D., Vasudevan, V., and Le, Q 2019

Formal links

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Cited by

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Receipt and verification

First computed	2026-05-17T23:38:47.894023Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

caa8255bf1a07c11c115be6d27dd54926a42ce8404039ca9728347695b74beb1

Aliases

arxiv: 1905.11946 · arxiv_version: 1905.11946v5 · doi: 10.48550/arxiv.1905.11946 · pith_short_12: ZKUCKW7RUB6B · pith_short_16: ZKUCKW7RUB6BDQIV · pith_short_8: ZKUCKW7R

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZKUCKW7RUB6BDQIVXZWSPXKUSJ \
  | 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: caa8255bf1a07c11c115be6d27dd54926a42ce8404039ca9728347695b74beb1

Canonical record JSON

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    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2019-05-28T17:05:32Z",
    "title_canon_sha256": "5d57ed40bf99234b9f21dec3ed51799244e63fef2bb7a81fafadb22a131f417e"
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}