… We believe we managed to set a new baseline for future work thanks to our principled
end-to-end architecture, providing an opportunity to take research in the field forward starting from …

… an end-to-end framework for doing dense video captioning that is … porates the semantics from
captions to the proposal module. … method with baselines on the ActivityNet Caption dataset. …

… end-to-end to generate a caption from raw pixels and transcribed speech directly. Our model
achieves state-of-the-art performance for multimodal video captioning on … a simple baseline, …

… , this is the first video captioning model that is trained end-to-end from the raw video input to
the cap… Baseline is the sentence generated by our baseline model, MR stands for sentence …

… First of all, we present a baseline that does not have any learnable attention mask, shown
in the first row of Table 4b. In the second row, we show another baseline which uses a learn…

… In step captioning, models generate a textual summary for each step. We also present … -specific
and end-to-end joint baseline models for our new benchmark. While the baseline models …

… an end-to-end video captioning model and various sentence embedding techniques that
collectively help in building the proposed video-… can be applied with any baseline architecture. …

… We also compare our model with a couple of baselines: (CTSAN) outperforms the simple …
with significant margins from baselines. Our (CT-SAN) (Ensemble) obtains the video-sentence …

… 6For the random partition baseline, a video is randomly partitioned into n segments, with
n sampled uniformly from 1 to 15 (The mean number of segments in the ground-truth is 8). …

… a baseline and an oracle method on the ActivityNetCaptions … the proposed method outperforms
the baseline and is com… , [38, 39] propose end-to-end video dense captioning systems by …