deep-learning computer-vision time-series lstm recurrent-neural-network

Spatial Dependency vs temporal Dependency

What is the Difference between Spatial Dependency and temporal Dependency in Deep Learning? If possible please explain with an example.

Solution

Spatial Dependency means a pixel's value is influenced by nearby pixel's value in image. This is because generally they all belong to same color because they are from same object.

Temporal dependency comes in videos. When a frame changes to next, if there is not a lot of movement in objects, pixel's values remain same. In other words, a pixel's value is influenced by its value in previous frame (time).

What do BatchNorm2d's running_mean / running_var mean in PyTorch?
Can batch normalization be considered a linear transformation?
Doing PyWavelets calculation on GPU
Training loss increases instead of decrease with epochs
What is the difference between an Embedding Layer with a bias immediately afterwards and a Linear Layer in PyTorch
How to improve the performance of CNN Model for a specific Dataset? Getting Low Accuracy on both training and Testing Dataset
TypeError: Only integers, slices, ellipsis, tf.newaxis and scalar tf.int32/tf.int64 tensors are valid indices
Traceback (most recent call last) in Colab when looping through dataloader in pytorch
The “Forward/Backward Passage Size” is too large for the pytorch model (Yolov3)
How do I use distributed DNN training in TensorFlow?
Neural network learning to sum two numbers
override pytorch Dataset efficiently
Implementation of F1-score, IOU and Dice Score
use matplotlib_inline and torch、d2l show error :NotImplementedError: Implement enable_gui in a subclass
how to implement custom metric in keras?
torchrl: Using SyncDataCollector with a custom pytorch dqn
Does peft train newly initialized weights?
Do I have to write custom AutoModel transformers class in case "TypeError: NVEmbedModel.forward() got an unexpected keyword argument 'inputs_embeds'"
Why RAG is slower than LLM?
"RuntimeError: Numpy is not available" when using inverse_transform
Pytorch RuntimeError: "host_softmax" not implemented for 'torch.cuda.LongTensor'
AMD ROCm with Pytorch on Navi10 (RX 5700 / RX 5700 XT)
Can we use multiple loss functions in same layer?
How do I update pixelClassificationLayer() to a custom loss function?
Neuralnet RMSE is 10x bigger than linear model's RMSE on test data set
Back Propagation in Convolutional Neural Networks and how to update filters
Face alignment megaface
autoencoder.fit() raises 'KeyError: 'Exception encountered when calling Functional.call()'
When to use numpy.random.randn(...) and when numpy.random.rand(...)?
What is freezing/unfreezing a layer in neural networks?