Recent works have explored evolutionary or iterativetraining paradigms, which reinitialize asubset ofparameters toenhance generalization performance forsmalldatasets.

Kinetics-400 [1] is a large scale action recognition dataset with trimmed video clips of around 10-second durations. It is collected from realistic YouTube videos, which covers 400 categories of human activities. In total, it contains around240K training videos and20K validation videos. Specifically whentraining Kinetics-200/-400 from scratch, we adopt the cosine schedule of learning rate decaying with an initiallearningrateof0.1. The initial learning rate is 0.005anddecaysby 0.1atepoch20and40.

How can we effectively train deep neural networks on relatively small datasets while improving generalization?

Fishing enthusiast Hunter Ham recently captured footage of an alligator on a Texas beach eating a bull redfish. Gators are primarily freshwater creatures. A 21-year-old woman from Georgia recently broke a statewide fishing record, officials say. The Georgia Department of Natural Resources announced the new state record in a press release on June 5. St. Marys resident Lauren E. Harden caught a 33-pound crevalle jack on May 24 while fishing on Cumberland Island.