Dataset Groups Activity Stream AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification The proposed framework for image classification tasks, using a hypersphere representation of deep features. BibTex: @dataset{Hongjun_Choi_and_Anirudh_Som_and_Pavan_Turaga_2024, abstract = {The proposed framework for image classification tasks, using a hypersphere representation of deep features.}, author = {Hongjun Choi and Anirudh Som and Pavan Turaga}, doi = {10.57702/ienxz5pp}, institution = {No Organization}, keyword = {'Deep Learning', 'Hypersphere Representation', 'Image Classification'}, month = {dec}, publisher = {TIB}, title = {AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification}, url = {https://service.tib.eu/ldmservice/dataset/amc-loss--angular-margin-contrastive-loss-for-improved-explainability-in-image-classification}, year = {2024} }
