Weakly Supervised Semantic Segmentation On 4

Metriken

mIoU

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Vergleichstabelle

Modellname	mIoU
weakly-supervised-co-training-with-swapping	53.7
weakly-supervised-co-training-with-swapping	51.1
recurseed-and-certainmix-for-weakly	46.4
weaktr-exploring-plain-vision-transformer-for	50.3
pseudo-mask-matters-inweakly-supervised	36.7
mars-model-agnostic-biased-object-removal	49.4
l2g-a-simple-local-to-global-knowledge	44.2
foundation-model-assisted-weakly-supervised	55.4
fine-grained-background-representation-for	45.6
clustering-guided-class-activation-for-weakly	41.8
uncertainty-estimation-via-response-scaling	40.8
uncertainty-estimation-via-response-scaling	40.7
railroad-is-not-a-train-saliency-as-pseudo-1	35.7
pseudo-mask-matters-inweakly-supervised	40.2
uncertainty-estimation-via-response-scaling	41.5
all-pairs-consistency-learning-for-weakly	45.0
weakly-supervised-semantic-segmentation	26.0
learning-self-supervised-low-rank-network-for	35.0
clip-is-also-an-efficient-segmenter-a-text	45.4
unlocking-the-potential-of-ordinary	36.4
weaktr-exploring-plain-vision-transformer-for	46.9
saliency-guided-self-attention-network-for	33.6
weakly-supervised-semantic-segmentation-via-3	45.3
weakly-supervised-semantic-segmentation-with-1	36.2
semples-semantic-prompt-learning-for-weakly	56.1
self-supervised-image-specific-prototype	43.6
threshold-matters-in-wsss-manipulating-the	44.7
boundary-enhanced-co-training-for-weakly	45.1
uncertainty-estimation-via-response-scaling	40.5
group-wise-semantic-mining-for-weakly	28.4
max-pooling-with-vision-transformers	45.0
an-alternative-to-wsss-an-empirical-study-of	55.6
recurseed-and-certainmix-for-weakly	42.2
dhr-dual-features-driven-hierarchical	56.8
learning-affinity-from-attention-end-to-end	38.9
weakly-supervised-semantic-segmentation-with-1	36.1
reducing-information-bottleneck-for-weakly	43.8
causal-intervention-for-weakly-supervised	33.4
from-text-to-mask-localizing-entities-using	45.7