Weakly Supervised Semantic Segmentation On 1
評価指標
Mean IoU
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
比較表
| モデル名 | Mean IoU |
|---|---|
| sfc-shared-feature-calibration-in-weakly | 72.5 |
| uncertainty-estimation-via-response-scaling | 69.7 |
| pseudo-mask-matters-inweakly-supervised | 70.5 |
| adaptive-early-learning-correction-for | 72.0 |
| inferring-the-class-conditional-response-map | 71.8 |
| universal-weakly-supervised-segmentation-by-1 | 71.6 |
| question-answer-cross-language-image-matching | 75.5 |
| weakly-supervised-semantic-segmentation-with-1 | 70.4 |
| activation-based-sampling-for-pixel-to-image | 70.8 |
| railroad-is-not-a-train-saliency-as-pseudo-1 | 71.8 |
| clip-is-also-an-efficient-segmenter-a-text | 73.9 |
| threshold-matters-in-wsss-manipulating-the | 70.6 |
| reducing-information-bottleneck-for-weakly | 70.0 |
| threshold-matters-in-wsss-manipulating-the | 69.6 |
| weakly-supervised-learning-of-instance | 64.8 |
| learning-self-supervised-low-rank-network-for | 67.6 |
| max-pooling-with-vision-transformers | 70.9 |
| weakly-supervised-semantic-segmentation-using-2 | 70.1 |
| clustering-guided-class-activation-for-weakly | 70.7 |
| regional-semantic-contrast-and-aggregation | 72.8 |
| discriminative-region-suppression-for-weakly | 70.7 |
| recurseed-and-certainmix-for-weakly | 73.6 |
| railroad-is-not-a-train-saliency-as-pseudo-1 | 70.8 |
| all-pairs-consistency-learning-for-weakly | 70.9 |
| from-text-to-mask-localizing-entities-using | 74.2 |
| self-supervised-image-specific-prototype | 69.7 |
| weakly-supervised-semantic-segmentation-with-1 | 71.1 |
| weakly-supervised-image-semantic-segmentation | 69.3 |
| weaktr-exploring-plain-vision-transformer-for | 74.1 |
| weaktr-exploring-plain-vision-transformer-for | 79.0 |
| hierarchical-semantic-contrast-for-weakly | 74.5 |
| recurseed-and-certainmix-for-weakly | 70.6 |
| getam-gradient-weighted-element-wise | 72.3 |
| dhr-dual-features-driven-hierarchical | 82.3 |
| saliency-guided-self-attention-network-for | 67.2 |
| complementary-patch-for-weakly-supervised | 68.5 |
| uncertainty-estimation-via-response-scaling | 71.5 |
| weakly-supervised-semantic-segmentation-with-1 | 70.7 |
| boundary-enhanced-co-training-for-weakly | 73.5 |
| puzzle-cam-improved-localization-via-matching | 67.7 |
| isim-iterative-self-improved-model-for-weakly | 74.98 |
| learning-self-supervised-low-rank-network-for | 69.4 |
| uncertainty-estimation-via-response-scaling | 70.8 |
| leveraging-instance-image-and-dataset-level | 67.5 |
| mars-model-agnostic-biased-object-removal | 77.2 |
| pseudo-mask-matters-inweakly-supervised | 69.0 |
| reducing-information-bottleneck-for-weakly | 68.6 |
| group-wise-semantic-mining-for-weakly | 68.5 |
| l2g-a-simple-local-to-global-knowledge | 73.0 |
| find-it-if-you-can-end-to-end-adversarial | 63.8 |
| puzzle-cam-improved-localization-via-matching | 72.2 |
| an-alternative-to-wsss-an-empirical-study-of | 77.1 |
| fine-grained-background-representation-for | 74.9 |
| precision-matters-precision-aware-ensemble | 72.9 |
| uncertainty-estimation-via-response-scaling | 70.6 |
| foundation-model-assisted-weakly-supervised | 81.6 |
| weakly-supervised-image-semantic-segmentation | 68.8 |
| isim-iterative-self-improved-model-for-weakly | 71.45 |
| weakly-supervised-semantic-segmentation-by-3 | 73.5 |
| semples-semantic-prompt-learning-for-weakly | 82.9 |