SOTAVerified

Partial Label Learning

Papers

Showing 41–50 of 85 papers

TitleStatusHype
PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image Classification—0
Progressive Purification for Instance-Dependent Partial Label Learning—0
ProPaLL: Probabilistic Partial Label Learning—0
Provably Consistent Partial-Label Learning—0
Pseudo Labels Regularization for Imbalanced Partial-Label Learning—0
Realistic Evaluation of Deep Partial-Label Learning Algorithms—0
Reduction-based Pseudo-label Generation for Instance-dependent Partial Label Learning—0
Robust Partial-Label Learning by Leveraging Class Activation Values—0
Robust Representation Learning for Unreliable Partial Label Learning—0
Pseudo-labelling meets Label Smoothing for Noisy Partial Label Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CASSBalanced Multi-Class Accuracy0.73—Unverified
2CASSBalanced Multi-Class Accuracy0.65—Unverified
#ModelMetricClaimedVerifiedStatus
1ILLAccuracy70.77—Unverified
#ModelMetricClaimedVerifiedStatus
1ILLAccuracy75.31—Unverified
#ModelMetricClaimedVerifiedStatus
1ILLAccuracy74.58—Unverified
#ModelMetricClaimedVerifiedStatus
1ILLAccuracy74—Unverified
#ModelMetricClaimedVerifiedStatus
1ILLAccuracy96.37—Unverified
#ModelMetricClaimedVerifiedStatus
1ILLAccuracy96.26—Unverified
#ModelMetricClaimedVerifiedStatus
1ILLAccuracy95.91—Unverified
#ModelMetricClaimedVerifiedStatus
1DB-GAEAccuracy76.5—Unverified
#ModelMetricClaimedVerifiedStatus
1DB-GAEAccuracy90.3—Unverified