Mar 8, 2024 · SWM generates adaptive margins that are proportional to the ratio of the classifier's weight norm, thus promoting the learning of tail ...
Sep 22, 2022 · We propose a Similarity Window Reweighting and Margins (SWRM) algorithm to tackle this problem. Specifically, we pretrain a cross-entropy model ...
Real-world data usually obeys a long-tailed distribution. Many previous works merely focus on the superficial phenomenon that tail classes lack samples in ...
Our SWRM effectively eliminates the confusion between head- and tail classes and alleviates the misclassification issues. Extensive experiments on three long- ...
SWRM: Similarity Window Reweighting and Margin for Long-Tailed Recognition ... Similarity Window Reweighting (SWR) and Similarity Window Margin (SWM) algorithms.
SWRM: Similarity Window Reweighting and Margin for Long-Tailed Recognition. ACM Trans. Multim. Comput. Commun. Appl. 20(6): 181:1-181:18 (2024); 2023. [j7].
SWRM: Similarity Window Reweighting and Margin for Long-Tailed Recognition ... Similarity Window Reweighting (SWR) and Similarity Window Margin (SWM) algorithms.
SWRM: Similarity Window Reweighting and Margin for Long-Tailed Recognition · A Survey of Deep Long-Tail Classification Advancements · Long-Tail Learning with ...
SWRM: Similarity Window Reweighting and Margin for Long-Tailed Recognition ... A Similarity Window Reweighting and Margin (SWRM) algorithm, where the SWRM ...
This strategy boosts the model's generalization ability by implicitly and adaptively weight- ing the logits, thereby widening the classification margin of tail ...
Missing: SWRM: Window