Few Shot Image Classification On Cub 200 5 1

Metriken

Accuracy

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Vergleichstabelle

Modellname	Accuracy
learning-embedding-adaptation-for-few-shot	68.65
easy-ensemble-augmented-shot-y-shaped	90.5
easy-ensemble-augmented-shot-y-shaped	78.56
transductive-information-maximization-for-few	82.2%
hypershot-few-shot-learning-by-kernel	66.13
the-balanced-pairwise-affinities-feature	95.80
revisiting-local-descriptor-based-image-to	53.15
easy-ensemble-augmented-shot-y-shaped	90.56
the-self-optimal-transport-feature-transform	95.80
exploiting-unsupervised-inputs-for-accurate	88.35%
learning-to-compare-relation-network-for-few	50.44
few-shot-learning-by-integrating-spatial-and	95.48
context-aware-meta-learning	95.8
mergednet-a-simple-approach-for-one-shot	75.34
squeezing-backbone-feature-distributions-to	94.78
laplacian-regularized-few-shot-learning	80.96
learning-to-learn-by-self-critique	67.48
rich-semantics-improve-few-shot-learning	65.66
charting-the-right-manifold-manifold-mixup	80.68
learning-to-learn-by-self-critique	70.46
task-discrepancy-maximization-for-fine-1	84.36
negative-margin-matters-understanding-margin	72.66
transfer-learning-based-few-shot	91.68
unsupervised-embedding-adaptation-via-early	82.68
delta-encoder-an-effective-sample-synthesis	69.8
relational-embedding-for-few-shot	79.49
hyperbolic-image-embeddings	60.52
sill-net-feature-augmentation-with-separated	94.73
espt-a-self-supervised-episodic-spatial	85.45
variational-transfer-learning-for-fine	79.12
adaptive-dimension-reduction-and-variational	90.42
self-supervised-learning-for-few-shot-image	77.09
instance-credibility-inference-for-few-shot	89.58
deep-kernel-transfer-in-gaussian-processes	72.27
easy-ensemble-augmented-shot-y-shaped	77.97
leveraging-the-feature-distribution-in	91.55%