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Classification archive 2025-07-28

InDL Benchmark (Classification)

9 rows 9 with code listed 1 metric Dataset page

The archive's category list for this table covers 11 areas (Adversarial, Audio, Computer Code, Computer Vision, Graphs, Medical, Methodology, Miscellaneous, Natural Language Processing, Reasoning, Time Series), which is its placeholder rather than an assignment; no area is shown in the breadcrumb. archive 2025-07-28

Classification is the task of categorizing a set of data into predefined classes or groups. The aim of classification is to train a model to correctly predict the class or group of new, unseen data. The model is trained on a labeled dataset where each instance is assigned a class label. The learning algorithm then builds a mapping between the features of the data and the class labels. This mapping is then used to predict the class label of new, unseen data points. The quality of the prediction is usually evaluated using metrics such as accuracy, precision, and recall.

The archive carries no text for this table; the description above is the archive's text for the task Classification. archive 2025-07-28

Over time archive 2025-07-28

The chart needs JavaScript; the table below carries every value.

Direction inferred from the metric name, not from the archive: Average Recall (higher is better). Points are placed at the row's paper date; 9 of 9 rows carry one.

Results archive 2025-07-28

Archive rows end at the archive snapshot, 2025-07-28: no result published after that date is in this table. Rank is the archive's row order at that snapshot; not re-ranked here. Metric values are the archive's strings. Column headers sort the table in your browser; each row keeps its archive rank.

Paper Code Ran Syntology Report
1 ConvNext 93.47% – Paper Code 2022 54 of 80 ran · 26 unverified report
2 VGG16 92.86% – Paper Code 2014 12 of 122 ran · 110 unverified report
3 DenseNet201 90.99% – Paper Code 2016 18 of 71 ran · 53 unverified report
4 Inception ResNet V2 90.27% – Paper Code 2016 1 of 1 ran · 0 unverified report
5 Xception 89.81% – Paper Code 2016 1 of 15 ran · 14 unverified report
6 NASNetLarge 89.52% – Paper Code 2017 0 of 1 ran · 1 unverified report
7 Darknet53 88.53% – Paper Code 2018 18 of 124 ran · 106 unverified report
8 ResNetV2_50 88.08% – Paper Code 2021 0 of 3 ran · 3 unverified report
9 MobileNetV3 84.28% – Paper Code 2019 58 of 105 ran · 47 unverified report

All 9 rows shown. 9 link to a paper page on this site; 0 are marked as using additional training data in the archive. No GitHub stars are tracked; "Code" is the first repository the archive lists for the row. The archive carries no row tags, review links or community-submitted rows for this table; none are shown. archive 2025-07-28

Syntology Ran reads "N of M ran · U unverified": of the M code samples Syntology harvested from repositories linked to that row's paper (joined by arXiv id), N executed on a synthesized input and the other U = M−N are unverified (harvested, no recorded run). It counts code from repositories linked to that row's paper, not this result: the row's number was not reproduced and nothing here is a correctness claim. The other cell texts mean no graph line for the row: "linked, not harvested" (the archive links code, Syntology has not harvested it), "no code linked" (no code link in the archive), "not matched" (the row's paper URL matched no paper on this site). 9 rows have a graph line, from 9 distinct papers; 7 rows (7 papers) have at least one sample that ran. Counting each paper once: Syntology ran 162 of 522 samples; 360 unverified. Separately, 88 of those 522 are pointer-only (licence): the site points at that code rather than redistributing it, a licence property recorded for ran and unverified samples alike; each cell's tooltip carries the row's own pointer-only count. Read from the graph 2026-09-24. Per-sample status is on the paper page.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections