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Found 9 papers, 0 papers with code
Action Sensitivity Learning for Temporal Action Localization
Temporal action localization (TAL), which involves recognizing and locating action instances, is a challenging task in video understanding.
Ranked #9 on
Temporal Action Localization
on THUMOS’14
Life Regression based Patch Slimming for Vision Transformers
In this study, we tackle the patch slimming problem from a different perspective by proposing a life regression module that determines the lifespan of each image patch in one go.
Multi-core fiber enabled fading noise suppression in φ-OFDR based quantitative distributed vibration sensing
Coherent fading has been regarded as a critical issue in phase-sensitive optical frequency domain reflectometry ({\phi}-OFDR) based distributed fiber-optic sensing.
Generalization Error Analysis of Neural networks with Gradient Based Regularization
We mainly focus on two regularization methods: the total variation and the Tikhonov regularization.
Multi-Granularity Network with Modal Attention for Dense Affective Understanding
Video affective understanding, which aims to predict the evoked expressions by the video content, is desired for video creation and recommendation.
Catalytically Potent and Selective Clusterzymes for Modulation of Neuroinflammation Through Single-Atom Substitutions
Emerging artificial enzymes with reprogrammed and augmented catalytic activity and substrate selectivity have long been pursued with sustained efforts.
Biological Physics Medical Physics
Augmented Bi-path Network for Few-shot Learning
Finally, the model learns to compare global and local features separately, i. e., in two paths, before merging the similarities.
A level set representation method for N-dimensional convex shape and applications
We apply this new method to two applications: object segmentation with convexity prior and convex hull problem (especially with outliers).
Convex hull algorithms based on some variational models
In this model, the convex hull is characterized by the zero sublevel-set of a convex level set function, which is non-positive at every given point.
