datasets consistently indicate that our GTAN leads to performance boost against baselines. In particular, AR of GTAN achieves 54.3% and 74.8% on THUMOS14 and ActivityNet respectively, making the absolute improvement over the best competitor BSN by 1.1% and 0.6%. GTAN surpasses BSN by 1.1% in AUC when evaluating on online ActivityNet test server. The results demonstrate the advantages of exploiting temporal structure for localizing actions. Furthermore, as shown in Figure \[fig4:1\], the improvements are constantly attained across different IoU. In terms of AR-AN curve, GTAN also exhibits better performance on different number of top returned proposals. Even in the case when only less than 10 proposals are returned, GTAN still shows apparent improvements, indicating that GTAN is benefited from the mechanism of dynamically optimizing temporal scale of each proposal and the correct proposals are ranked at the top.

Evaluation on Gaussian Kernel and Grouping
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\[0.76\]

[[|c|c|c| c|c | c|c|]{}]{} & &\
& & & & & &\
& & & & & &\
& & & & & &\
& 33.5 & 37.1 & 38.2 & 29.8 & 31.6 & 34.3\

\[table4:2\]

\[0.84\]

[[|c|c|c|c|c|]{}]{} & &\
&   $\geq 128$   &          &   $\geq 2048$   &         \
& 22.1 & 37.1 