A survey of visual affordance recognition based on deep learning
D Chen, D Kong, J Li, S Wang… - IEEE Transactions on Big …, 2023 - ieeexplore.ieee.org
Visual affordance recognition is an important research topic in robotics, human-computer
interaction, and other computer vision tasks. In recent years, deep learning-based …
interaction, and other computer vision tasks. In recent years, deep learning-based …
Learning affordance grounding from exocentric images
Affordance grounding, a task to ground (ie, localize) action possibility region in objects,
which faces the challenge of establishing an explicit link with object parts due to the diversity …
which faces the challenge of establishing an explicit link with object parts due to the diversity …
Grounding 3d object affordance from 2d interactions in images
Grounding 3D object affordance seeks to locate objects'" action possibilities" regions in the
3D space, which serves as a link between perception and operation for embodied agents …
3D space, which serves as a link between perception and operation for embodied agents …
One-shot transfer of affordance regions? AffCorrs!
In this work, we tackle one-shot visual search of object parts. Given a single reference image
of an object with annotated affordance regions, we segment semantically corresponding …
of an object with annotated affordance regions, we segment semantically corresponding …
RIO: A benchmark for reasoning intention-oriented objects in open environments
Intention-oriented object detection aims to detect desired objects based on specific
intentions or requirements. For instance, when we desire to" lie down and rest", we …
intentions or requirements. For instance, when we desire to" lie down and rest", we …
Noir: Neural signal operated intelligent robots for everyday activities
We present Neural Signal Operated Intelligent Robots (NOIR), a general-purpose, intelligent
brain-robot interface system that enables humans to command robots to perform everyday …
brain-robot interface system that enables humans to command robots to perform everyday …
One-shot open affordance learning with foundation models
Abstract We introduce One-shot Open Affordance Learning (OOAL) where a model is trained
with just one example per base object category but is expected to identify novel objects and …
with just one example per base object category but is expected to identify novel objects and …
Leverage interactive affinity for affordance learning
Perceiving potential" action possibilities"(ie, affordance) regions of images and learning
interactive functionalities of objects from human demonstration is a challenging task due to …
interactive functionalities of objects from human demonstration is a challenging task due to …
One-shot object affordance detection in the wild
Affordance detection refers to identifying the potential action possibilities of objects in an
image, which is a crucial ability for robot perception and manipulation. To empower robots …
image, which is a crucial ability for robot perception and manipulation. To empower robots …
Grounded affordance from exocentric view
Affordance grounding aims to locate objects'“action possibilities” regions, an essential step
toward embodied intelligence. Due to the diversity of interactive affordance, ie, the …
toward embodied intelligence. Due to the diversity of interactive affordance, ie, the …