WebApr 10, 2024 · Adversarial robustness has attracted extensive studies in various fields by increasing the interpretability of deep learning and enhancing the underst… WebNov 28, 2024 · An Introduction to Deep Long-Tailed Learning. This survey by Yifan Zhang, Bingyi Kang, Bryan Hooi, Shuicheng Yan and Jiashi Feng covers the following topic in far grater detail and I highly recommend checking it out for a more thorough discussion of the ideas mentioned in this article. With the massive success of Deep Learning in the …
Balanced Gradient Penalty Improves Deep Long-Tailed Learning
WebDeep Long-Tailed Learning: A Survey . Deep long-tailed learning, one of the most challenging problems in visual recognition, aims to train well-performing deep models … WebJun 14, 2024 · These methods are sometimes regarded as “Direct” in other surveys because they directly applies the definition of metric learning. The distance function in the embedding space for these approaches is usually fixed as l2 metric: D(p, q) = ‖p − q‖2 = ( n ∑ i = 1(pi − qi)2)1 / 2. For the ease of notation, let’s denote Dfθ(x1, x2 ... hanger orthotics scottsdale
Symmetry Free Full-Text Deep Metric Learning: A Survey - MDPI
WebSep 26, 2024 · NIPS 2024. [√] Balanced Meta-Softmax for Long-Tailed Visual Recognition [code] [√] Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect [code] [√] Rethinking the Value of Labels for Improving Class-Imbalanced Learning [code] [√] Identifying and Compensating for Feature Deviation in … WebAug 22, 2024 · Extensive experiments on three long-tailed classification benchmarks and two deep metric learning benchmarks (person re-identification, in particular) demonstrate the significant improvement. Moreover, the achieved performance are on par with the state-of-the-art on both tasks. WebMay 25, 2024 · The heavy reliance on data is one of the major reasons that currently limit the development of deep learning. Data quality directly dominates the effect of deep learning models, and the long-tailed distribution is one of the factors affecting data quality. The long-tailed phenomenon is prevalent due to the prevalence of power law in nature. … hanger orthotics reno