SOTAVerified

Action Parsing

Action parsing is the task of, given a video or still image, assigning each frame or image a label describing the action in that frame or image.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–10 of 15 papers

TitleStatusHype
Modeling Worlds in TextCode1
Local Temporal Bilinear Pooling for Fine-grained Action ParsingCode1
Frontal Low-rank Random Tensors for Fine-grained Action SegmentationCode0
An Expressive Deep Model for Human Action Parsing from A Single Image—0
DAP3D-Net: Where, What and How Actions Occur in Videos?—0
IncSQL: Training Incremental Text-to-SQL Parsers with Non-Deterministic Oracles—0
Intra- and Inter-Action Understanding via Temporal Action Parsing—0
Learning Knowledge Graph-based World Models of Textual Environments—0
Part-level Action Parsing via a Pose-guided Coarse-to-Fine Framework—0
PIVOT-R: Primitive-Driven Waypoint-Aware World Model for Robotic Manipulation—0
Show:102550
← PrevPage 1 of 2Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Seq2SeqSet accuracy18.1—Unverified
2CALMSet accuracy13.79—Unverified