Why Simpler Decoders Make Smarter Vision Models

It's like how a student learns better with a focused workbook than by trying to memorize an entire library at once—sometimes *less* machinery means the core network can actually pay attention.

This means the way we build 3D scene understanding from video might have been sabotaging itself all along, and a quieter decoder could unlock better transfer learning across completely different tasks.