Toast119
u/Toast119
Some colleagues and I collected some stereo data a long time back and utilized feature matching to perform the built-in MATLAB uncalibrated stereo rectification. While the cameras were near-parallel, this calibration results in the disparity range to span both positive and negative values (due to the uncalibrated rectification). I intend to try to fine tune a neural network with this data, but all of the common architectures assume calibrated rectification where disparity ranges from [0, +D].
I was curious if there is there any good way of "converting" the disparity maps and rectified imagery in the old dataset to positive-only for training these nets or do I need to go back and attempt to
Attention is mostly discussed in the context of sequences, but I was thinking about what it meant in the context of message passing. Clearly when a certain word has "attention" it is relaying long-distance information, but is that synonymous with something like belief propagation?
Say, for example, I have a goal to do a multi-task learning workflow where I have a network that predicts both foreground/background segmentation, specific object segmentation, and bounding box regression.
Suppose that there are only labels for 1-2 of the tasks per image (i.e. one input image has labels for bounding boxes and fg/bg segmentation, but no specific object segmentation; one input image has specific objects and bounding boxes, but no fg/bg). Also, suppose that there isn't a lot of training data to use, so I would like to utilize all of the training data even without full label coverage (especially because the feature extraction portions of the network probably benefit from mutua
Also, if you believe there are failures in unregulated markets/capitalism, what do governments around the world do well to correct these shortcomings, and what do you believe governments can do differently?
I recently got a set of dumbbells and an adjustable bench for my house. I've been doing sets of workouts during/between various other activities (while cooking/during commercials/randomly when I want to). I am currently doing either 5x5s or 3x10s depending on the exercise. My question is: is this actually effective? Is there a better way to do a similar thing while being more effective? I find this to be a lot more preferred than going to the gym as often.
