Hyperbolic Vision Transformers: Combining Improvements in Metric Learning

21 March 2022

Papers citing "Hyperbolic Vision Transformers: Combining Improvements in Metric Learning"

7 / 57 papers shown

Title
HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization Sungyeon Kim Boseung Jung Suha Kwak 25 15 0 29 Dec 2022
Hyperbolic Hierarchical Contrastive Hashing Rukai Wei Yu Liu Jingkuan Song Yanzhao Xie Ke Zhou 32 7 0 17 Dec 2022
Rethinking Batch Sample Relationships for Data Representation: A Batch-Graph Transformer based Approach Xixi Wang Bowei Jiang Tianlin Li Bin Luo ViT 33 5 0 19 Nov 2022
Coded Residual Transform for Generalizable Deep Metric Learning Shichao Kan Yixiong Liang Min Li Yigang Cen Jianxin Wang Z. He 34 3 0 09 Oct 2022
Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization Christopher Liao Theodoros Tsiligkaridis Brian Kulis SSL 32 5 0 04 Oct 2022
Rethinking the compositionality of point clouds through regularization in the hyperbolic space Antonio Montanaro D. Valsesia E. Magli 3DPC 49 31 0 21 Sep 2022
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 371 5,818 0 29 Apr 2021