Image Deep Networks
2 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Image Deep Networks
Most implemented papers
Stochastic regularized majorization-minimization with weakly convex and multi-convex surrogates
HanbaekLyu/SRMM
•
•
The surrogates are required to be strongly convex and convergence rate analysis for the general non-convex setting was not available.
Demystify Transformers & Convolutions in Modern Image Deep Networks
Vision transformers have gained popularity recently, leading to the development of new vision backbones with improved features and consistent performance gains.
