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This is a consecutive frame target detection project by adding convlstm to SSD

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SSD_ConvLSTM_final

This is a consecutive frame target detection project by adding convlstm to SSD.

Description

By adding conv LSTM to SSD, the highest accuracy is improved by nearly 10%. We have carried out on the radar data set provided by 25 customers. There are three targets in total. The network improves target 2 and target 3 greatly, target 2 increases by 5%, target 3 increases by 10%, and target 1 only improves by less than 1%.

Make DataSet

You can use the split_vidseq.py in ./data/ to make your own dataset. Since my data is confidential, it is not convenient to release it.

The difference between SSD and SSD_ConvLSTM:

SSD constructure: SSD constructure

SSD+ConvLSTM constructure: SSD_ConvLSTM

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This is a consecutive frame target detection project by adding convlstm to SSD

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