Comparisons of model size and complexity. FLOPs: the number of

Harmonious Attention Network for Person Re-Identification - Home

Illustration of our approach for dense captioning. (a) For a region

从网络出发讲透Harmonious Attention Network for Person Re-Identification你不懂的细节_self and channel attention network for person re-i-CSDN博客

Comparisons of model size and complexity. FLOPs: the number of

Interface trap density of Si/BOX of the control and hardened SOI wafers.

Comparisons of model size and complexity. FLOPs: the number of

PoolNet deep feature based person re-identification

Band diagram of Si/BOX interface showing charged acceptor traps.

Example cross-view matched pairs from three datasets. Datasets and

PDF) Harmonious Attention Network for Person Re-Identification

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