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Action Parsing
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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.
논문
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Action parsing using context features
Part-level Action Parsing via a Pose-guided Coarse-to-Fine Framework
Technical Report: Disentangled Action Parsing Networks for Accurate Part-level Action Parsing
A Baseline Framework for Part-level Action Parsing and Action Recognition
Learning Knowledge Graph-based World Models of Textual Environments
SSCAP: Self-supervised Co-occurrence Action Parsing for Unsupervised Temporal Action Segmentation
Intra- and Inter-Action Understanding via Temporal Action Parsing
Frontal Low-rank Random Tensors for Fine-grained Action Segmentation
Local Temporal Bilinear Pooling for Fine-grained Action Parsing
IncSQL: Training Incremental Text-to-SQL Parsers with Non-Deterministic Oracles
DAP3D-Net: Where, What and How Actions Occur in Videos?
Action Recognition by Hierarchical Mid-level Action Elements
An Expressive Deep Model for Human Action Parsing from A Single Image
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.