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this paper focus on Self-supervised visual representation learning, we need to define problem the paper can’t solve it or new approach can be added to paper then create new approach with changing mathematical modelling and implementation using python software. after that create new paper with all changes happened
the attachment contains a paper about masking it is a roughly new paper about self-supervised learning they addressed the augmentation aspect.
they added a ‘mask layer’ to the CNN to train the model on part of the image. it’s a trending topic these days.
(this topic will be easier for optimising loss function)
the paper should contain (the paper structure):
1- Abstract:
– problem statement.
– methodology brief.
– result
2- introduction
– problem in general
– how the paper solves it in general
3- literature review (related works)
– all the previous studies on this topic
4- methodology:
– explain in detail how we solve the gap.
-math proof.
– graphs
5- result and discussion
– display the result
-compare the result with another counterpart
– use tables
6- conclusion.
– briefly describe your work
*in general, if any piece of information is mentioned we need a source and citation for it.
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