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
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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
Our experiments on various tasks and an analysis of inductive bias show a significant performance boost due to advanced network-level and block-level designs, but performance differences persist among different STMs.
