EVF-SAM
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Model finds the objects that are not there in reality
Dear authors, Thank you so much for your amazing work. In the process of using your model I realized that in case I write a prompt with the object that is not present in the image (i.e I tried finding dinosaur in the picture with pizzas, it found the the dinosaur that is not present in the picture). It seems like the model was not trained on negative examples. Can you, please, resolve this issue as it will significantly increase the usability of your model.
Thanks in advance!