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Semantic Segmentation archive 2025-07-28

PASCAL VOC 2012 test Benchmark (Semantic Segmentation)

51 rows 45 with code listed 3 metrics Dataset page

Over time archive 2025-07-28

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Direction inferred from the metric name, not from the archive: Mean IoU (higher is better), FLOPS (lower is better), Params (lower is better). Points are placed at the row's paper date; 51 of 51 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 DeepLabv3+ (Xception-65-JFT) 89.0% ✓ Paper Code 2018 43 of 72 ran · 29 unverified report
2 DeepLabv3+ (Xception-JFT) 89.0% ✓ Paper Code 2018 43 of 72 ran · 29 unverified report
3 DeepLabv3-JFT 86.9% ✓ Paper Code 2017 3 of 7 ran · 4 unverified report
4 CASIA_IVA_SDN 86.6% – Paper – 2017 no code linked report
5 Smooth Network with Channel Attention Block 86.2% – Paper Code 2018 0 of 8 ran · 8 unverified report
6 SANet (pretraining on COCO dataset) 86.1% – Paper Code 2019 linked, not harvested report
7 EncNet 85.9% – Paper Code 2018 1 of 8 ran · 7 unverified report
8 HamNet w/o COCO (ResNet-101) 85.9% – Paper Code 2021 3 of 3 ran · 0 unverified report
9 Auto-DeepLab-L 85.6% – Paper Code 2019 1 of 4 ran · 3 unverified report
10 PSPNet 85.4% ✓ Paper Code 2016 7 of 29 ran · 22 unverified report
11 ResNet-38 MS COCO 84.9% – Paper Code 2016 0 of 2 ran · 2 unverified report
12 OCR (HRNetV2-W48) 84.5% – Paper Code 2019 4 of 9 ran · 5 unverified report
13 OCR (ResNet-101) 84.3% – Paper Code 2019 4 of 9 ran · 5 unverified report
14 Multipath-RefineNet 84.2% – Paper Code 2016 1 of 7 ran · 6 unverified report
15 ShelfNet 84.2% – Paper Code 2018 linked, not harvested report
16 EANet (ResNet-101) 84% – Paper Code 2021 linked, not harvested report
17 Large Kernel Matters 83.6% – Paper Code 2017 linked, not harvested report
18 TripleNet 83.3% – Paper – 2018 no code linked report
19 SANet 83.2% – Paper Code 2019 linked, not harvested report
20 TuSimple 83.1% – Paper Code 2017 0 of 1 ran · 1 unverified report
21 EncNet (ResNet-101) 82.9% – Paper Code 2018 1 of 8 ran · 7 unverified report
22 DFN (ResNet-101) 82.7% – Paper Code 2018 0 of 8 ran · 8 unverified report
23 Deep Layer Cascade (LC) 82.7% – Paper Code 2017 linked, not harvested report
24 Light-Weight-RefineNet-152 82.7% – Paper Code 2018 linked, not harvested report
25 DANet (ResNet-101) 82.6% – Paper Code 2018 0 of 7 ran · 7 unverified report
26 PSPNet (ResNet-101) 82.6% – Paper Code 2016 7 of 29 ran · 22 unverified report
27 Light-Weight-RefineNet-101 82.0% – Paper Code 2018 linked, not harvested report
28 Light-Weight-RefineNet-50 81.1% – Paper Code 2018 linked, not harvested report
29 CentraleSupelec Deep G-CRF 80.2% – Paper Code 2016 linked, not harvested report
30 EdgeNeXt 80.2%8.7G6.5M – Paper Code 2022 1 of 10 ran · 9 unverified report
31 DeepLab-CRF (ResNet-101) 79.7% ✓ Paper Code 2016 28 of 63 ran · 35 unverified report
32 WASPnet-CRF (ours) 79.6% – Paper Code 2019 linked, not harvested report
33 Light-Weight-RefineNet-MobileNet-v2 79.2% – Paper Code 2018 linked, not harvested report
34 Deeplab-v2 with Lovasz-Softmax loss 79.00% ✓ Paper Code 2017 linked, not harvested report
35 Deeplab-v2 + Lovász-Softmax 79.0% – Paper Code 2017 linked, not harvested report
36 CRF-RNN 74.7% – Paper Code 2015 1 of 8 ran · 7 unverified report
37 SID 72.8% – Paper – 2016 no code linked report
38 DeepLab-MSc-CRF-LargeFOV (VGG-16) 71.6% – Paper Code 2014 0 of 1 ran · 1 unverified report
39 ParseNet 69.8% – Paper Code 2015 linked, not harvested report
40 Dilated FCN-2s VGG19 69% – Paper Code 2017 linked, not harvested report
41 ESPNetv2 68.0% – Paper Code 2018 2 of 4 ran · 2 unverified report
42 Dilated Convolutions 67.6% – Paper Code 2015 2 of 8 ran · 6 unverified report
43 DiCENet 67.31% – Paper Code 2019 0 of 1 ran · 1 unverified report
44 RRM 66.5 – Paper Code 2019 linked, not harvested report
45 SSDD 65.5 – Paper Code 2019 1 of 8 ran · 7 unverified report
46 BoxSup 64.6% – Paper – 2015 no code linked report
47 PSA w/ EADER DeepLab (Xception-65) 63.8% – Paper Code 2020 linked, not harvested report
48 ESPNet 63.01% – Paper Code 2018 4 of 10 ran · 6 unverified report
49 FCN (VGG-16) 62.2% ✓ Paper Code 2014 3 of 4 ran · 1 unverified report
50 G2 56.7% – Paper – 2017 no code linked report
51 CK 51.6% – Paper – 2014 no code linked report

All 51 rows shown. 51 link to a paper page on this site; 7 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). 27 rows have a graph line, from 22 distinct papers; 20 rows (16 papers) have at least one sample that ran. Counting each paper once: Syntology ran 105 of 274 samples; 169 unverified. Separately, 93 of those 274 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