7 papers · 1 filter
CLIP-Guided Unsupervised Semantic-Aware Exposure Correction
Puzhen Wu, Han Weng, Quan Zheng +5
Improper exposure often leads to severe loss of details, color distortion, and reduced contrast. Exposure correction still faces two critical challenges: (1) the ignorance of objec…
Towards Understanding Camera Motions in Any Video
Zhiqiu Lin, Siyuan Cen, Daniel Jiang +12
We introduce CameraBench, a large-scale dataset and benchmark designed to assess and improve camera motion understanding. CameraBench consists of ~3,000 diverse internet videos, an…
Segregation and Context Aggregation Network for Real-time Cloud Segmentation
Yijie Li, Hewei Wang, Jiayi Zhang +5
Cloud segmentation from intensity images is a pivotal task in atmospheric science and computer vision, aiding weather forecasting and climate analysis. Ground-based sky/cloud segme…
CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation
Yijie Li, Hewei Wang, Jinfeng Xu +4
Remote sensing image segmentation is pivotal for earth observation, underpinning applications such as environmental monitoring and urban planning. Due to the limited annotation dat…
DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation
Yijie Li, Hewei Wang, Jinfeng Xu +4
Cloud segmentation amounts to separating cloud pixels from non-cloud pixels in an image. Current deep learning methods for cloud segmentation suffer from three issues. (a) Constrai…
CPDR: Towards Highly-Efficient Salient Object Detection via Crossed Post-decoder Refinement
Yijie Li, Hewei Wang, Aggelos Katsaggelos
Most of the current salient object detection approaches use deeper networks with large backbones to produce more accurate predictions, which results in a significant increase in co…