Camouflaged object segmentation with distraction mining
Camouflaged object segmentation (COS) aims to identify objects that are" perfectly"
assimilate into their surroundings, which has a wide range of valuable applications. The key …
assimilate into their surroundings, which has a wide range of valuable applications. The key …
Weakly-supervised concealed object segmentation with sam-based pseudo labeling and multi-scale feature grouping
Abstract Weakly-Supervised Concealed Object Segmentation (WSCOS) aims to segment
objects well blended with surrounding environments using sparsely-annotated data for …
objects well blended with surrounding environments using sparsely-annotated data for …
Robotic perception of transparent objects: A review
Transparent object perception is a rapidly developing research problem in artificial
intelligence. The ability to perceive transparent objects enables robots to achieve higher …
intelligence. The ability to perceive transparent objects enables robots to achieve higher …
Glass segmentation using intensity and spectral polarization cues
Transparent and semi-transparent materials pose significant challenges for existing scene
understanding and segmentation algorithms due to their lack of RGB texture which impedes …
understanding and segmentation algorithms due to their lack of RGB texture which impedes …
Segmenting transparent object in the wild with transformer
This work presents a new fine-grained transparent object segmentation dataset, termed
Trans10K-v2, extending Trans10K-v1, the first large-scale transparent object segmentation …
Trans10K-v2, extending Trans10K-v1, the first large-scale transparent object segmentation …
Trans4Trans: Efficient transformer for transparent object segmentation to help visually impaired people navigate in the real world
Common fully glazed facades and transparent objects present architectural barriers and
impede the mobility of people with low vision or blindness, for instance, a path detected …
impede the mobility of people with low vision or blindness, for instance, a path detected …
NTIRE 2024 challenge on HR depth from images of specular and transparent surfaces
This paper reports on the NTIRE 2024 challenge on HR Depth From images of Specular and
Transparent surfaces held in conjunction with the New Trends in Image Restoration and …
Transparent surfaces held in conjunction with the New Trends in Image Restoration and …
Trans4Trans: Efficient transformer for transparent object and semantic scene segmentation in real-world navigation assistance
Transparent objects, such as glass walls and doors, constitute architectural obstacles
hindering the mobility of people with low vision or blindness. For instance, the open space …
hindering the mobility of people with low vision or blindness. For instance, the open space …
Rich context aggregation with reflection prior for glass surface detection
Glass surfaces appear everywhere. Their existence can however pose a serious problem to
computer vision tasks. Recently, a method is proposed to detect glass surfaces by learning …
computer vision tasks. Recently, a method is proposed to detect glass surfaces by learning …
Enhanced boundary learning for glass-like object segmentation
Glass-like objects such as windows, bottles, and mirrors exist widely in the real world.
Sensing these objects has many applications, including robot navigation and grasping …
Sensing these objects has many applications, including robot navigation and grasping …