Building detection from very high resolution (VHR) optical remote sensing images, which is
an essential but challenging task in remote sensing, has attracted increased attention in …

Abstract Neural Radiance Fields (NeRFs) have emerged as a popular approach for novel
view synthesis. While NeRFs are quickly being adapted for a wider set of applications …

Interactive segmentation allows users to extract target masks by making positive/negative
clicks. Although explored by many previous works, there is still a gap between academic …

Real-world applications have high demands for semantic segmentation methods. Although
semantic segmentation has made remarkable leap-forwards with deep learning, the …

Existing video object segmentation (VOS) benchmarks focus on short-term videos which just
last about 3-5 seconds and where objects are visible most of the time. These videos are …

Traditional approaches for visual perception and evaluation of river landscapes adopt on-
site surveys or assessments through photographs. The former is expensive, hindering large …

Interactive image segmentation enables annotators to efficiently perform pixel-level
annotation for segmentation tasks. However, the existing interactive segmentation pipeline …

The goal of click-based interactive image segmentation is to extract target masks with the
input of positive/negative clicks. Every time a new click is placed, existing methods run the …

Interactive image segmentation aims at obtaining a segmentation mask for an image using
simple user annotations. During each round of interaction, the segmentation result from the …

Gathering knowledge about physical settings and visual information of places has long been
of interest to a wide variety of fields as they affect the experience of observers. Previous …