On Learning Discriminative Features from Synthesized Data for
Self-Supervised Fine-Grained Visual Recognition

On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition

19 July 2024

Scott Ricardo Figueroa Weston

Peng Li

Papers citing "On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition"

8 / 8 papers shown

Title
Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems Yangyang Shu A. Hengel Lingqiao Liu SSL 26 14 0 03 Mar 2023
Contrastive Learning with Consistent Representations Zihu Wang Yu Wang Hanbin Hu Peng Li CLL 24 5 0 03 Feb 2023
What shapes the loss landscape of self-supervised learning? Liu Ziyin Ekdeep Singh Lubana Masakuni Ueda Hidenori Tanaka 48 20 0 02 Oct 2022
Understanding Collapse in Non-Contrastive Siamese Representation Learning Alexander C. Li Alexei A. Efros Deepak Pathak SSL 40 33 0 29 Sep 2022
On Feature Decorrelation in Self-Supervised Learning Tianyu Hua Wenxiao Wang Zihui Xue Sucheng Ren Yue Wang Hang Zhao SSL OOD 112 186 0 02 May 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 292 5,761 0 29 Apr 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,359 0 09 Mar 2020
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,170 0 01 Sep 2014