NTIRE 2024 image shadow removal challenge report

FA Vasluianu, T Seizinger, Z Zhou… - Proceedings of the …, 2024 - openaccess.thecvf.com
This work reviews the results of the NTIRE 2024 Challenge on Shadow Removal. Building
on the last year edition the current challenge was organized in two tracks with a track …

Imbalance problems in object detection: A review

K Oksuz, BC Cam, S Kalkan… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
In this paper, we present a comprehensive review of the imbalance problems in object
detection. To analyze the problems in a systematic manner, we introduce a problem-based …

Sam-adapter: Adapting segment anything in underperformed scenes

T Chen, L Zhu, C Deng, R Cao… - Proceedings of the …, 2023 - openaccess.thecvf.com
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 …

Explicit visual prompting for low-level structure segmentations

W Liu, X Shen, CM Pun, X Cun - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
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 …

SAM Fails to Segment Anything?--SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and More

T Chen, L Zhu, C Ding, R Cao, Y Wang, Z Li… - ar**_Network_for_Shadow_Removal_CVPR_2022_paper.pdf" data-clk="hl=fi&sa=T&oi=gga&ct=gga&cd=7&d=9438636493673559588&ei=MIa6Z5zjDJuoieoPvZLH-Qo" data-clk-atid="JHZzCeLF_IIJ" target="_blank">[PDF] thecvf.com

Bijective map** network for shadow removal

Y Zhu, J Huang, X Fu, F Zhao… - Proceedings of the …, 2022 - openaccess.thecvf.com
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 …

Auto-exposure fusion for single-image shadow removal

L Fu, C Zhou, Q Guo, F Juefei-Xu… - Proceedings of the …, 2021 - openaccess.thecvf.com
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 …

Glass makes blurs: Learning the visual blurriness for glass surface detection

F Qi, X Tan, Z Zhang, M Chen, Y **e… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Glass surface detection is challenging as glass normally borrows similar visual appearances
from the arbitrary objects/scenes behind it. Although some methods have been proposed to …