Domain Gap
The inconsistency in data distribution between training data and the deployment environment, such as differences in illumination conditions, camera parameters, background textures, and crowd density. It is a major obstacle to generalizing deployment across environments.
Timeline (last 90 days)
Training with multi-environment data helps improve the model's generalization ability in real-world scenarios, but domain gaps between environments remain a challenge.
There is a huge domain gap between sonar imagery and everyday photos; sonar images are grayscale intensity maps imaged by echo strength, with no natural texture, shadow or color cues.
All Facts (2)
Training with multi-environment data helps improve the model's generalization ability in real-world scenarios, but domain gaps between environments remain a challenge.
50%UnverifiedThere is a huge domain gap between sonar imagery and everyday photos; sonar images are grayscale intensity maps imaged by echo strength, with no natural texture, shadow or color cues.
50%