Architecture of EfficientDetpic.twitter.com/8ZbS7JfEGZ
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EfficientDet: a new family of efficient object detectors. It is based on EfficientNet, and many times more efficient than state of art models. Link: https://arxiv.org/abs/1911.09070 Code: coming soonpic.twitter.com/2KYabAnpLL
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Can we deduct frame-per-second figures from Table 2 in the paper? As is unfortunately often the case, GFLOPs don't correlate to GPU performance at all. The 'latency' table seems more relevant but the numbers are strangely different from real world figures I'm familiar with.
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Maybe GFLOPs correlate with energy consumption? Although memory use and transfers are probably also very energy intensive.
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chirstmas gift = code in tf 2.0
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Nah, it'd run faster in
@PyTorch
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@pjreddie time to release the next YOLO-MONHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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@saumilshah95 Object Detection is never endingHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Hello
@quocleix . Is possible to deploy EfficientDet in mobile device ? -
Yes, you can. They are tflite compatible.
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Čini se da učitavanje traje već neko vrijeme.
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