UIE
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Underwater image enhancement is a technique used to improve the quality of underwater images. Due to the unique properties of the underwater environment, images captured underwater often suffer from degradation caused by absorption and scattering of light. These effects can result in low contrast, blurred images with a dominant blue or green color cast. Enhancement techniques aim to correct these issues and improve the visibility within the image. These methods can include color correction to remove the color cast, contrast enhancement to improve the visibility of underwater objects, and dehazing techniques to reduce the scattering effect. These enhancements are crucial in various applications, including underwater exploration, marine biology research, underwater archaeology, and in improving the performance of underwater vision systems used in autonomous underwater vehicles.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Toward Sufficient Spatial-Frequency Interaction for Gradient-aware Underwater Image Enhancement
Semi-supervised Underwater Image Enhancement Using A Physics-Aware Triple-Stream Network
A Gated Cross-domain Collaborative Network for Underwater Object Detection
FSUIE: A Novel Fuzzy Span Mechanism for Universal Information Extraction
PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN with Dual-Discriminators
UIERL: Internal-External Representation Learning Network for Underwater Image Enhancement
Schema-adaptable Knowledge Graph Construction
CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction
LasUIE: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model
SyreaNet: A Physically Guided Underwater Image Enhancement Framework Integrating Synthetic and Real Images
Underwater Ranker: Learn Which Is Better and How to Be Better
Uncertainty Inspired Underwater Image Enhancement
UIF: An Objective Quality Assessment for Underwater Image Enhancement
Reinforced Swin-Convs Transformer for Underwater Image Enhancement
Unified Structure Generation for Universal Information Extraction
Data-driven input reconstruction and experimental validation
U-shape Transformer for Underwater Image Enhancement
Twice Mixing: A Rank Learning based Quality Assessment Approach for Underwater Image Enhancement
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.