Human-Object Interaction Detection
65 papers with code • 5 benchmarks • 12 datasets
Our hypothesis is that the appearance of a person -- their pose, clothing, action -- is a powerful cue for localizing the objects they are interacting with.
Ranked #28 on Human-Object Interaction Detection on HICO-DET
Temporal relational reasoning, the ability to link meaningful transformations of objects or entities over time, is a fundamental property of intelligent species.
Ranked #2 on Hand Gesture Recognition on Jester test
We introduce a simple yet surprisingly powerful model to incorporate attention in action recognition and human object interaction tasks.
Ranked #6 on Human-Object Interaction Detection on HICO
Our core idea is that the appearance of a person or an object instance contains informative cues on which relevant parts of an image to attend to for facilitating interaction prediction.
Ranked #3 on Human-Object Interaction Detection on Ambiguious-HOI
For a given scene, GPNN infers a parse graph that includes i) the HOI graph structure represented by an adjacency matrix, and ii) the node labels.
Ranked #18 on Human-Object Interaction Detection on V-COCO
Human-Object Interaction (HOI) detection is an important problem to understand how humans interact with objects.
Meanwhile, isolated human and object can also be integrated into coherent HOI again.
Ranked #10 on Human-Object Interaction Detection on HICO-DET (using extra training data)
On account of the generalization of interactiveness, interactiveness network is a transferable knowledge learner and can be cooperated with any HOI detection models to achieve desirable results.
Ranked #2 on Human-Object Interaction Detection on Ambiguious-HOI
Human and object points are the center of the detection boxes, and the interaction point is the midpoint of the human and object points.
Ranked #14 on Human-Object Interaction Detection on V-COCO
In light of this, we propose a new path: infer human part states first and then reason out the activities based on part-level semantics.
Ranked #3 on Human-Object Interaction Detection on HICO (using extra training data)