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Found 5 papers, 2 papers with code
Activity Grammars for Temporal Action Segmentation
Sequence prediction on temporal data requires the ability to understand compositional structures of multi-level semantics beyond individual and contextual properties.
Relational Context Learning for Human-Object Interaction Detection
Recent state-of-the-art methods for HOI detection typically build on transformer architectures with two decoder branches, one for human-object pair detection and the other for interaction classification.
Ranked #2 on
Human-Object Interaction Detection
on V-COCO
Devil's on the Edges: Selective Quad Attention for Scene Graph Generation
The edge selection module selects relevant object pairs, i. e., edges in the scene graph, which helps contextual reasoning, and the quad attention module then updates the edge features using both edge-to-node and edge-to-edge cross-attentions to capture contextual information between objects and object pairs.
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval
Metric learning aims to build a distance metric typically by learning an effective embedding function that maps similar objects into nearby points in its embedding space.
Attentive Semantic Alignment with Offset-Aware Correlation Kernels
Semantic correspondence is the problem of establishing correspondences across images depicting different instances of the same object or scene class.
