Papers › Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks
Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks
Miquel Martí i Rabadán, Alessandro Pieropan, Hossein Azizpour, Atsuto Maki
We propose Dense FixMatch, a simple method for online semi-supervised learning of dense and structured prediction tasks combining pseudo-labeling and consistency regularization via strong data augmentation. We enable the application of FixMatch in semi-supervised learning problems beyond image classification by adding a matching operation on the pseudo-labels. This allows us to still use the full strength of data augmentation pipelines, including geometric transformations. We evaluate it on semi-supervised semantic segmentation on Cityscapes and Pascal VOC with different percentages of labeled data and ablate design choices and hyper-parameters. Dense FixMatch significantly improves results compared to supervised learning using only labeled data, approaching its performance with 1/4 of the labeled samples.
Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Semi-Supervised Semantic Segmentation | Cityscapes 12.5% labeled | Dense FixMatch (DeepLabv3+ ResNet-101, uniform sampling, single pass eval) | Validation mIoU | 73.91% | #20 of 33 | Archive leaderboard | report |
| Semi-Supervised Semantic Segmentation | Cityscapes 12.5% labeled | Dense FixMatch (DeepLabv3+ ResNet-50, uniform sampling, single pass eval) | Validation mIoU | 73.39% | #21 of 33 | Archive leaderboard | report |
| Semi-Supervised Semantic Segmentation | Cityscapes 6.25% labeled | Dense FixMatch (DeepLabv3+ ResNet-101, over-sampling, single pass eval) | Validation mIoU | 71.1% | #15 of 18 | Archive leaderboard | report |
| Semi-Supervised Semantic Segmentation | Cityscapes 6.25% labeled | Dense FixMatch (DeepLabv3+ ResNet-50, uniform sampling, single pass eval) | Validation mIoU | 70.65% | #16 of 18 | Archive leaderboard | report |
| Semi-Supervised Semantic Segmentation | Cityscapes 93 labeled | Dense FixMatch (DeepLabv3+ ResNet-101, over-sampling, single pass eval) | Validation mIoU | 66.97 | #2 of 3 | Archive leaderboard | report |
| Semi-Supervised Semantic Segmentation | Cityscapes 93 labeled | Dense FixMatch (DeepLabv3+ ResNet-50, over-sampling, single-pass eval) | Validation mIoU | 65.81 | #3 of 3 | Archive leaderboard | report |
| Semi-Supervised Semantic Segmentation | Cityscapes with extra (no coarse labels) | Dense FixMatch (DeepLabv3+ ResNet-101, over-sampling, single pass eval) | Validation mIoU | 80.82 | #1 of 2 | Archive leaderboard | report |
| Semi-Supervised Semantic Segmentation | Cityscapes with extra (no coarse labels) | Dense FixMatch (DeepLabv3+ ResNet-50, over-sampling, single pass eval) | Validation mIoU | 79.98 | #2 of 2 | Archive leaderboard | report |
| Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 25% labeled | Dense FixMatch (DeepLabv3+ ResNet-101, over-sampling, single pass eval) | Validation mIoU | 72.04 | #26 of 27 | Archive leaderboard | report |
| Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 25% labeled | Dense FixMatch (DeepLabv3+ ResNet-50, over-sampling, single pass eval) | Validation mIoU | 69.02 | #27 of 27 | Archive leaderboard | report |
| Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 50% | Dense FixMatch (DeepLabv3+ ResNet-101, over-sampling, single pass eval) | Validation mIoU | 74.73% | #13 of 14 | Archive leaderboard | report |
| Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 50% | Dense FixMatch (DeepLabv3+ ResNet-50, over-sampling, single pass eval) | Validation mIoU | 71.69% | #14 of 14 | Archive leaderboard | report |
| Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | Dense FixMatch (DeepLabv3+ ResNet-101, over-sampling, single pass eval) | Validation mIoU | 65.82% | #36 of 38 | Archive leaderboard | report |
| Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | Dense FixMatch (DeepLabv3+ ResNet-50, over-sampling, single pass eval) | Validation mIoU | 62.49% | #38 of 38 | Archive leaderboard | report |
| Semi-Supervised Semantic Segmentation | Pascal VOC 2012 6.25% labeled | Dense FixMatch (DeepLabv3+ ResNet-101, over-sampling, single pass eval) | Validation mIoU | 54.85 | #18 of 19 | Archive leaderboard | report |
| Semi-Supervised Semantic Segmentation | Pascal VOC 2012 6.25% labeled | Dense FixMatch (DeepLabv3+ ResNet-50, over-sampling, single pass eval) | Validation mIoU | 52.15 | #19 of 19 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
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