Universal instance perception as object discovery and retrieval
All instance perception tasks aim at finding certain objects specified by some queries such
as category names, language expressions, and target annotations, but this complete field …
as category names, language expressions, and target annotations, but this complete field …
Transformer-based visual segmentation: A survey
Visual segmentation seeks to partition images, video frames, or point clouds into multiple
segments or groups. This technique has numerous real-world applications, such as …
segments or groups. This technique has numerous real-world applications, such as …
A survey on long-tailed visual recognition
L Yang, H Jiang, Q Song, J Guo - International Journal of Computer Vision, 2022 - Springer
The heavy reliance on data is one of the major reasons that currently limit the development
of deep learning. Data quality directly dominates the effect of deep learning models, and the …
of deep learning. Data quality directly dominates the effect of deep learning models, and the …
Mask transfiner for high-quality instance segmentation
Two-stage and query-based instance segmentation methods have achieved remarkable
results. However, their segmented masks are still very coarse. In this paper, we present …
results. However, their segmented masks are still very coarse. In this paper, we present …
Large-scale individual building extraction from open-source satellite imagery via super-resolution-based instance segmentation approach
Building footprint is a primary dataset of an urban geographic information system (GIS)
database. Therefore, it is essential to establish a robust and automated framework for large …
database. Therefore, it is essential to establish a robust and automated framework for large …
Box-supervised instance segmentation with level set evolution
In contrast to the fully supervised methods using pixel-wise mask labels, box-supervised
instance segmentation takes advantage of the simple box annotations, which has recently …
instance segmentation takes advantage of the simple box annotations, which has recently …
Open-vocabulary instance segmentation via robust cross-modal pseudo-labeling
Open-vocabulary instance segmentation aims at segmenting novel classes without mask
annotations. It is an important step toward reducing laborious human supervision. Most …
annotations. It is an important step toward reducing laborious human supervision. Most …
PhenoBench: A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain
The production of food, feed, fiber, and fuel is a key task of agriculture, which has to cope
with many challenges in the upcoming decades, eg, a higher demand, climate change, lack …
with many challenges in the upcoming decades, eg, a higher demand, climate change, lack …
DynaMask: dynamic mask selection for instance segmentation
The representative instance segmentation methods mostly segment different object
instances with a mask of the fixed resolution, eg, 28x 28 grid. However, a low-resolution …
instances with a mask of the fixed resolution, eg, 28x 28 grid. However, a low-resolution …
Box2mask: Box-supervised instance segmentation via level-set evolution
In contrast to fully supervised methods using pixel-wise mask labels, box-supervised
instance segmentation takes advantage of simple box annotations, which has recently …
instance segmentation takes advantage of simple box annotations, which has recently …