ImageNet Benchmark (Semi-Supervised Image Classification)

0 rows 0 with code listed 1 metric Dataset page

Semi-supervised image classification leverages unlabelled data as well as labelled data to increase classification performance.

You may want to read some blog posts to get an overview before reading the papers and checking the leaderboards:

An overview of proxy-label approaches for semi-supervised learning - Sebastian Ruder
Semi-Supervised Learning in Computer Vision - Amit Chaudhary

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

Results archive 2025-07-28

No rows in the archive for this table at snapshot 2025-07-28. It declares 1 metric (Accuracy at 1%) but no result was ever recorded against it. That says nothing about whether results exist elsewhere.

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