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Found 6 papers, 1 papers with code
Tracking without Label: Unsupervised Multiple Object Tracking via Contrastive Similarity Learning
Unsupervised learning is a challenging task due to the lack of labels.
DecAug: Augmenting HOI Detection via Decomposition
Human-object interaction (HOI) detection requires a large amount of annotated data.
Ranked #68 on
Domain Generalization
on PACS
DIRV: Dense Interaction Region Voting for End-to-End Human-Object Interaction Detection
On the other hand, existing one-stage methods mainly focus on the union regions of interactions, which introduce unnecessary visual information as disturbances to HOI detection.
Ranked #15 on
Human-Object Interaction Detection
on V-COCO
Intra- and Inter-Action Understanding via Temporal Action Parsing
Current methods for action recognition primarily rely on deep convolutional networks to derive feature embeddings of visual and motion features.
FineGym: A Hierarchical Video Dataset for Fine-grained Action Understanding
To take action recognition to a new level, we develop FineGym, a new dataset built on top of gymnastic videos.
Find and Focus: Retrieve and Localize Video Events with Natural Language Queries
The thriving of video sharing services brings new challenges to video retrieval, e. g. the rapid growth in video duration and content diversity.
