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Found 11 papers, 2 papers with code
Dual-Perspective Knowledge Enrichment for Semi-Supervised 3D Object Detection
Our DPKE enriches the knowledge of limited training data, particularly unlabeled data, from two perspectives: data-perspective and feature-perspective.
Geometry-based spherical JND modeling for 360$^\circ$ display
Second, we extend our 2D-JND model to SJND by jointly exploiting latitude projection and field of view during 360$^\circ$ display.
A Correction-Based Dynamic Enhancement Framework towards Underwater Detection
To assist underwater object detection for better performance, image enhancement technology is often used as a pre-processing step.
Saliency-Aware Spatio-Temporal Artifact Detection for Compressed Video Quality Assessment
In this paper, we investigate the influence of four spatial PEAs (i. e. blurring, blocking, bleeding, and ringing) and two temporal PEAs (i. e. flickering and floating) on video quality.
LMQFormer: A Laplace-Prior-Guided Mask Query Transformer for Lightweight Snow Removal
Secondly, we design a Mask Query Transformer (MQFormer) to remove snow with the coarse mask, where we use two parallel encoders and a hybrid decoder to learn extensive snow features under lightweight requirements.
Ranked #1 on
Snow Removal
on SRRS
UIF: An Objective Quality Assessment for Underwater Image Enhancement
In addition, we have also established a large-scale UIE database with subjective scores, namely Underwater Image Enhancement Database (UIED), which is utilized as a benchmark to compare all objective metrics.
Deep Quality Assessment of Compressed Videos: A Subjective and Objective Study
In this work, a semi-automatic labeling method is adopted to build a large-scale compressed video quality database, which allows us to label a large number of compressed videos with manageable human workload.
SPQE: Structure-and-Perception-Based Quality Evaluation for Image Super-Resolution
By combining the quality scores and their weights, we propose a unified SPQE metric for SR-IQA.
Utility-Oriented Underwater Image Quality Assessment Based on Transfer Learning
Based on this task, we build an Underwater Image Utility Database (UIUD) and a learning-based Underwater Image Utility Measure (UIUM).
Trusted Media Challenge Dataset and User Study
To tackle the issue, we have organized the Trusted Media Challenge (TMC) to explore how Artificial Intelligence (AI) technologies could be leveraged to combat fake media.
Learning-Based Quality Assessment for Image Super-Resolution
Image Super-Resolution (SR) techniques improve visual quality by enhancing the spatial resolution of images.
