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Found 4 papers, 2 papers with code
Learning Actionness via Long-range Temporal Order Verification
The annotation is particularly difficult for temporal action localization where large parts of the video present no action, or background.
Reconstructing and grounding narrated instructional videos in 3D
Contrary to the standard scenario of instance-level 3D reconstruction, where identical objects or scenes are present in all views, objects in different instructional videos may have large appearance variations given varying conditions and versions of the same product.
HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips
In this work, we propose instead to learn such embeddings from video data with readily available natural language annotations in the form of automatically transcribed narrations.
Ranked #4 on
Temporal Action Localization
on CrossTask
Action Localization
Long Video Retrieval (Background Removed)
+3
Cross-task weakly supervised learning from instructional videos
In this paper we investigate learning visual models for the steps of ordinary tasks using weak supervision via instructional narrations and an ordered list of steps instead of strong supervision via temporal annotations.
Ranked #5 on
Temporal Action Localization
on CrossTask
