Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring

14 August 2021

Papers citing "Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring"

5 / 5 papers shown

Title
Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients Victoria Huang S. Sohail Michael Mayo T. Lorido-Botran Mark Rodrigues Chris Anderson Melanie Ooi FedML 18 2 0 16 May 2023
Boosting Automatic COVID-19 Detection Performance with Self-Supervised Learning and Batch Knowledge Ensembling Guang Li Ren Togo Takahiro Ogawa Miki Haseyama SSL 25 8 0 19 Dec 2022
Contrastive pretraining for semantic segmentation is robust to noisy positive pairs Sebastian Gerard Josephine Sullivan 24 1 0 24 Nov 2022
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning Kangning Liu Weicheng Zhu Yiqiu Shen Sheng Liu N. Razavian Krzysztof J. Geras C. Fernandez‐Granda SSL 28 24 0 17 Oct 2022
Matching Multiple Perspectives for Efficient Representation Learning Omiros Pantazis M. Salvaris SSL 22 0 0 16 Aug 2022