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Found 7 papers, 0 papers with code
Scalable Temporal Localization of Sensitive Activities in Movies and TV Episodes
To help customers make better-informed viewing choices, video-streaming services try to moderate their content and provide more visibility into which portions of their movies and TV episodes contain age-appropriate material (e. g., nudity, sex, violence, or drug-use).
Robust Cross-Modal Representation Learning with Progressive Self-Distillation
The learning objective of vision-language approach of CLIP does not effectively account for the noisy many-to-many correspondences found in web-harvested image captioning datasets, which contributes to its compute and data inefficiency.
Ranked #98 on
Image Classification
on ObjectNet
(using extra training data)
Movies2Scenes: Using Movie Metadata to Learn Scene Representation
However, labeling individual scenes is a time-consuming process.
Shot Contrastive Self-Supervised Learning for Scene Boundary Detection
To assess the effectiveness of ShotCoL on novel applications of scene boundary detection, we take on the problem of finding timestamps in movies and TV episodes where video-ads can be inserted while offering a minimally disruptive viewing experience.
A Robust and Efficient Framework for Sports-Field Registration
We propose a novel framework to register sports-fields as they appear in broadcast sports videos.
Coupled End-to-End Transfer Learning With Generalized Fisher Information
In transfer learning, one seeks to transfer related information from source tasks with sufficient data to help with the learning of target task with only limited data.
Using Ranking-CNN for Age Estimation
Human age is considered an important biometric trait for human identification or search.
