The vital part of every learning-based algorithm is an optimization procedure, e.g., Stochastic Gradient Descent.

Recently, attention-based networks, such as the Vision Transformer, have also become popular.

WeconsiderZ Rc andmak generated (the In Section 3.3, distribution .

Persistent homology hasbecome animportant tool forextracting geometric and topological features from data, whose multi-scale features are summarized in a persistencediagram.

Everybody Is Unique: Towards Unbiased Human Mesh Recovery.

Our source code for our work is available here.

While much of MIP research focuses on designing effective heuristics, the question of how to manage multiple MIP heuristics in a solver has not received equal attention.