In most previous posts, I just forgot to consider multiple cameras (or multiple sensors of same kind) of one oberser (like a car or robot),…
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In most previous posts, I just forgot to consider multiple cameras (or multiple sensors of same kind) of one oberser (like a car or robot),…
A self-recursive training including labeled seed frames (flow) and unlabeled pure original signal frames (flow) is: First, pretrain the model (the prime model with physics…
The view of a camera is twisted just like human eye, but human brain’s neural network can adjust the view from human eye to make…
In many cases, different kinds of sensors are necessary for application, for example, in autodriving, robotics and drones you may need sensors of visual and…
Why do the prime model and the physics pixel include explicit physics parameters of objects and pixels and classes for objects but do not include…
Although the prime model was origianlly for working on perspective view like the physics pixel’s, its idea may also apply to world model. But I…
The 2D visual of a physics pixel frame including overlapped physics pixels in depth is a frame of same resolution and same size as the…
Now I think that just one transformer/diffusion model as the prime/physics pixel model may be the best way, which I was not sure previously because…
The following datasets could be in a physics pixel frame for training or inference of a physics pixel model, in which the traing of a…
A frame in physics pixel model/data structure for AI is basically a perspective 3d view with physics parameters labeled or estimated(predicted), which is based on…