arxiv: https://arxiv.org/abs/2107.14795 Key points developing upon the Perceiver idea, Perceiver IO proposes a Perceiver like structure but where output size can be much larger and still keep overall complexity linear. (Checkout summary on Perceiver here) same with Perceiver, this work use latent array to save input information and run this through multiple self Read more…
arxiv: https://arxiv.org/abs/2103.14030 Key points multi scale feature extraction. Could think of as adoption of FPN idea. restrict transformer operation to within each window and not the entire feature map → allows to keep overall complexity linear instead of quadratic apply shifted window to allow inter-window interaction fuse relative position information in Read more…
While deploying qt in windows, the official docs recommend using windeployqt.exe However, once the outputs of windeployqt.exe are packaged and executed in a different machine without any qt installments, I encountered “msising libgcc_s_seh-1.dll” error. Solution When I ran windeployqt.exe, I just ran it from powershell. When I used the Qt Read more…
arxiv: https://arxiv.org/abs/2103.03206 key points use learnable latent array with a fixed size as query in transformer module in perceiver architecture raw inputs can be long since it will be use as key and value in transformer module do cross attention to fusion input data into latent array. this allows perceiver to Read more…