2026-10-10T05:11:35Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33939355 2026-09-18T17:48:13Z category_146 category_12 category_734 category_931 portal_5 item_type_3 month_year_09_2026

<p>Comparison of model size and computational complexity.</p> Maowen Zhou (25073482) Erma Rahayu Mohd Faizal Abdullah (17990918) Aznul Qalid Md Sabri (20636726) Susanto Rahardja (13903528) Space Science Cell Biology Biological Sciences not elsewhere classified Information Systems not elsewhere classified various visual backbones two benchmark datasets extensive experiments show enriches feature representations enhance feature discrimination e ., shanghaitech diverse feature representations alleviate class imbalance abnormal training samples level focal loss domain contrastive loss classification loss model domain domain framework weak supervision unified embedding proposed method primarily due jointly optimized discriminative models challenging problem attention mechanism art methods action dynamics <p>Comparison of model size and computational complexity.</p> 2026-09-18T17:47:59Z Dataset Dataset 10.1371/journal.pone.0358538.t008 https://figshare.com/articles/dataset/_p_Comparison_of_model_size_and_computational_complexity_p_/33939355 CC BY 4.0