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Found 5 papers, 5 papers with code
Learnable Optimal Sequential Grouping for Video Scene Detection
Video scene detection is the task of dividing videos into temporal semantic chapters.
Unsupervised Domain Generalization by Learning a Bridge Across Domains
The ability to generalize learned representations across significantly different visual domains, such as between real photos, clipart, paintings, and sketches, is a fundamental capacity of the human visual system.
Self-Supervised Classification Network
To guarantee non-degenerate solutions (i. e., solutions where all labels are assigned to the same class) we propose a mathematically motivated variant of the cross-entropy loss that has a uniform prior asserted on the predicted labels.
Ranked #3 on
Unsupervised Image Classification
on ImageNet
Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning
One of the key factors of enabling machine learning models to comprehend and solve real-world tasks is to leverage multimodal data.
Ranked #3 on
Visual Question Answering
on MSRVTT-QA
(Accuracy metric)
Learning to Detect and Retrieve Objects from Unlabeled Videos
In this work, we propose to exploit the natural correlation in narrations and the visual presence of objects in video, to learn an object detector and retrieval without any manual labeling involved.
