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Found 5 papers, 2 papers with code
Structured Attention Composition for Temporal Action Localization
To tackle this issue, we make an early effort to study temporal action localization from the perspective of multi-modality feature learning, based on the observation that different actions exhibit specific preferences to appearance or motion modality.
Background-Click Supervision for Temporal Action Localization
Weakly supervised temporal action localization aims at learning the instance-level action pattern from the video-level labels, where a significant challenge is action-context confusion.
CONTEXT AUGMENTATION AND FEATURE REFINEMENT NETWORK FOR TINY OBJECT DETECTION
A new feature pyramid network is proposed to combine context augmentation and feature refinement.
Equivalent Classification Mapping for Weakly Supervised Temporal Action Localization
The existing methods can be categorized into two localization-by-classification pipelines, i. e., the pre-classification pipeline and the post-classification pipeline.
Kid-Net: Convolution Networks for Kidney Vessels Segmentation from CT-Volumes
We propose a convolution neural network, called Kid-Net, along with a training schema to segment kidney vessels: artery, vein and collecting system.
