South America
31fb284a0aaaad837d2930a610cd5e50-Supplemental-Conference.pdf
In our work, we study the video-language pretraining in a specific yet significant domain - the 1st-person view,which ismotivated bytherelease oftheEgo4D dataset. Thevarying clipfrequencies aremainly dependent on manual narrations that are annotated based on the video scenarios and activities. There have average 13.4 clips per minute of video, maximize to175.8 Fig.6(b)displays the distribution of clip duration. In Figure 1 (c), we present the distribution of narration words length.
EgocentricVideo-LanguagePretraining
As illustrated in Tab. 1, the formerly largest egocentric video dataset EPICKITCHENS-100 [14] focuses on kitchens scenarios and its size is far smaller than those of the 3rd-person pretraining sets WebVid-2M [3] and HowTo100M [10].
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models
However, this is not true in practice.
12c118ef87fde56a10bd858842781b34-Paper-Conference.pdf
In density functional theory, the charge density is the core attribute of atomic systems from which all chemical properties can be derived.
PrivAuditor: Benchmarking Privacy Vulnerabilities in LLM Adaptation Techniques
Despite these achievements, LLMs often underperform in domain-specific tasks without training on relevant domain data.
