Turnitin
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Sam-adapter: Adapting segment anything in underperformed scenes
The emergence of large models, also known as foundation models, has brought significant
advancements to AI research. One such model is Segment Anything (SAM), which is …
advancements to AI research. One such model is Segment Anything (SAM), which is …
Uformer: A general u-shaped transformer for image restoration
In this paper, we present Uformer, an effective and efficient Transformer-based architecture
for image restoration, in which we build a hierarchical encoder-decoder network using the …
for image restoration, in which we build a hierarchical encoder-decoder network using the …
Explicit visual prompting for low-level structure segmentations
We consider the generic problem of detecting low-level structures in images, which includes
segmenting the manipulated parts, identifying out-of-focus pixels, separating shadow …
segmenting the manipulated parts, identifying out-of-focus pixels, separating shadow …
Bijective map** network for shadow removal
Shadow removal, which aims to restore the background in the shadow regions, is
challenging due to the highly ill-posed nature. Most existing deep learning-based methods …
challenging due to the highly ill-posed nature. Most existing deep learning-based methods …
Auto-exposure fusion for single-image shadow removal
Shadow removal is still a challenging task due to its inherent background-dependent and
spatial-variant properties, leading to unknown and diverse shadow patterns. Even powerful …
spatial-variant properties, leading to unknown and diverse shadow patterns. Even powerful …