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in todays paper were gonna discuss uh 2017 feature pyramid network fbn for object detection and this work is from kaminho ross uh gilshik and the other folks here so this presentation is basically my personal reading notes what im trying to focus on is more intuitions why using fpn and why does it help so the inspirations of the fpn you can you can trade back to the to the feature pyramid built on upon image pyramid this is basically what we call the feature image pyramid after um in in this presentations that is actually as you can see here once you have a image and you can do some up sampling on stop down sampling to have a different scale and you can use your traditional like human or handcraft computer vision algorithm to detect the object or whatever you want to detect on top of this different scale image here so as you can see here if you do a down sampling here along the way then you have a smaller and smaller image size and your um handcraft algorithm can can do like a slid