UIE
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Benchmarks
ACE 2004
ACE 2005-EAE
ACE 2005-ED
ACE 2005-NER
ACE 2005-RE
ADE Corpus
AnatEM
BC2GM
BC5CDR
Broad Twitter
CoNLL 2003
CoNLL 2004
DIANN
FabNER
FindVehicle
GENIA
GIDS
MIT Movie
MIT Restaurant
MultiNERD
NYT
OntoNotes 5.0
SciERC
WNUT 2017
WikiANN
kbp37
ncbi_disease
semeval RE
Most implemented
Unified Structure Generation for Universal Information Extraction
U-shape Transformer for Underwater Image Enhancement
Adaptive Dual-domain Learning for Underwater Image Enhancement
Underwater Image Enhancement by Convolutional Spiking Neural Networks
Papers
RD-UIE: Relation-Driven State Space Modeling for Underwater Image Enhancement
Underwater image enhancement (UIE) is a critical preprocessing step for marine vision applications, where wavelength-dependent attenuation causes severe content degradation and color distortion. While recent state space …
Image EnhancementMambaRelationState Space Models+1Adaptive Dual-domain Learning for Underwater Image Enhancement
Recently, learning-based Underwater Image Enhancement (UIE) methods have demonstrated promising performance. However, existing learning-based methods still face two challenges. 1) They rarely consider the inconsistent de…
Image EnhancementUIEUnderwater Image Enhancement by Convolutional Spiking Neural Networks
Underwater image enhancement (UIE) is fundamental for marine applications, including autonomous vision-based navigation. Deep learning methods using convolutional neural networks (CNN) and vision transformers advanced UI…
Image EnhancementSSIMUIECross-Domain Underwater Image Enhancement Guided by No-Reference Image Quality Assessment: A Transfer Learning Approach
Single underwater image enhancement (UIE) is a challenging ill-posed problem, but its development is hindered by two major issues: (1) The labels in underwater reference datasets are pseudo labels, relying on these pseud…
Image EnhancementImage Quality AssessmentNo-Reference Image Quality AssessmentNR-IQA+2Crab: A Unified Audio-Visual Scene Understanding Model with Explicit Cooperation
In recent years, numerous tasks have been proposed to encourage model to develop specified capability in understanding audio-visual scene, primarily categorized into temporal localization, spatial localization, spatio-te…
Data InteractionScene UnderstandingTemporal LocalizationUIETowards Robust Universal Information Extraction: Benchmark, Evaluation, and Solution
In this paper, we aim to enhance the robustness of Universal Information Extraction (UIE) by introducing a new benchmark dataset, a comprehensive evaluation, and a feasible solution. Existing robust benchmark datasets ha…
Data AugmentationUIE