The primary challenge to overcome has been computational demands: the computational complexity of self-attention rises quadratically with image size. Swin transformers useshiftedwindows (instead of conventionalslidingstrides) to create non-overlapping self-attention layers, making computational complexity increa...
The paper suggests using a Transformer Encoder as a base model to extract features from the image and passing these “processed” features into a Multilayer Perceptron (MLP) head model for classification. Transformers are already very compute-heavy—infamous for their quadratic complexity when computing...
- Encoder Based Lifelong Learning [28] (EBLL) builds on LwF and learns a shallow encoder on the features of each task. A penalty on the changes to the encoded features accompanied with the distillation loss is applied to reduce the forgetting of the previous tasks. Similar to LwF, a warm...
Performance improvement in the Document Stitching module. It has been pointed out by some of our clients that theAppendDocumentmethod may take a very long time when dozens or hundreds of documents are stitched together, and the processing time seems to grow quadratically with the number of docume...
Based on Eq.1and assuming a small constant change\(\delta _{ij}\), we can measure the importance of a parameter by the magnitude of the gradient\(g_{ij}\), i.e. how much does a small perturbation to that parameter change the output of the learned function for data point\(x_k\)...
learning methods like classification and regression. Some of the well known dimensionality reduction algorithms include Principal Component Analysis, Principal Component Regressio, Linear Discriminant Analysis, Quadratic Discriminant Analysis, Mixture Discriminant Analysis, Flexible Discriminant Analysis and Sammon ...
Performance improvement in the Document Stitching module. It has been pointed out by some of our clients that theAppendDocumentmethod may take a very long time when dozens or hundreds of documents are stitched together, and the processing time seems to grow quadratically with the number of docume...