Fig. 2
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Scheme of the general architecture of the detection transformer (LSBG DETR) taken from Thuruthipilly et al. (2022b). The extracted features of the input image by the CNN backbone are combined with positional encoding and are passed on to the encoder layer to assign attention scores to each feature. The weighted features are then passed to the feed-forward neural network (FFN) to predict the probability.
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