In contrast to fully supervised methods using pixel-wise mask labels, box-supervised
instance segmentation takes advantage of simple box annotations, which has recently …

Weakly-supervised segmentation with label-efficient sparse annotations has attracted
increasing research attention to reduce the cost of laborious pixel-wise labeling process …

Tracking and segmenting small targets in remote sensing videos on edge devices carries
significant engineering implications. However, many semi-supervised video object …

Recent vision-language pre-training models have exhibited remarkable generalization
ability in zero-shot recognition tasks. Previous open-vocabulary 3D scene understanding …

Segmenting and recognizing diverse object parts is crucial in computer vision and robotics.
Despite significant progress in object segmentation, part-level segmentation remains …

Hyperspectral image (HSI) classification has drawn increasing attention in the last decade.
HSIs accurately classify terrestrial objects by capturing approximately contiguous spectral …

We propose MoBox, a low-cost solution for semi-supervised video object segmentation that
requires only bounding boxes as manual annotations for training. Built upon a mature semi …

Weakly-supervised learning (WSL) methods have gained significant attention in medical
image segmentation, but they often face challenges in accurately delineating boundaries …

Early detection of wildfires is essential to prevent large-scale fires resulting in extensive
environmental, structural, and societal damage. Uncrewed aerial vehicles (UAVs) can cover …

Weakly-supervised learning methods have become increasingly attractive for medical image
segmentation, but suffered from a high dependence on quantifying the pixel-wise affinities of …