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The part highlighted with red characters means papers that i think "must-read".
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However, it is **my personal opinion** and other papers are important too, so I recommend to read them if you have time.
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<palign="center">
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<img width="1000" src="/assets/deep_learning_object_detection_history.PNG" "Example of object detection.">
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</p>
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## performance table
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## Performance table
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FPS(Speed) index is related to the hardware spec(e.g. CPU, GPU, RAM, etc), so it is hard to make an equal comparison. The solution is to measure the performance of all models on hardware with equivalent specifications, but it is very difficult and time consuming.
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So i
@@ -231,7 +243,7 @@ So i
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## Dataset Paper
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## Dataset Papers
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Statistics of commonly used object detection datasets. The Figure came from [this survey paper](https://arxiv.org/pdf/1809.02165v1.pdf).
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<palign="center">
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<img width="700" src="/assets/deep_learning_object_detection_dataset.PNG" "Commonly used object detection datasets.">
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