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20232026
most citedUnderwater Object Detection in the Era of Artificial Intelligence: Current, Challenge, and Future

5 citations · 11 across the 10 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023

DomainForensics: Exposing Face Forgery across Domains via Bi-directional Adaptation

Qingxuan Lv, Yuezun Li, Junyu Dong +4

Recent DeepFake detection methods have shown excellent performance on public datasets but are significantly degraded on new forgeries. Solving this problem is important, as new for…

eess.IV2023

SS-MAE: Spatial-Spectral Masked Auto-Encoder for Multi-Source Remote Sensing Image Classification

Junyan Lin, Feng Gao, Xiaocheng Shi +2

Masked image modeling (MIM) is a highly popular and effective self-supervised learning method for image understanding. Existing MIM-based methods mostly focus on spatial feature mo…

cs.MM2023★ 1 cited

CLIP-Hand3D: Exploiting 3D Hand Pose Estimation via Context-Aware Prompting

Shaoxiang Guo, Qing Cai, Lin Qi +1

Contrastive Language-Image Pre-training (CLIP) starts to emerge in many computer vision tasks and has achieved promising performance. However, it remains underexplored whether CLIP…

eess.IV2023

Convolution and Attention Mixer for Synthetic Aperture Radar Image Change Detection

Haopeng Zhang, Zijing Lin, Feng Gao +3

Synthetic aperture radar (SAR) image change detection is a critical task and has received increasing attentions in the remote sensing community. However, existing SAR change detect…

cs.CV2023★ 3 cited

A Semi-supervised Physics-Aware Triple-Stream Underwater Image Enhancement Network

Shixuan Xu, Hao Qi, Wei Wang +4

Underwater images normally suffer from degradation due to the transmission medium of water bodies. Both traditional prior-based approaches and deep learning-based methods have been…