8 papers
Modeling Scientific Experiment Scenes: Dataset and Model
Minghao Zou, Qingtian Zeng, Shangkun Liu +5
Scene Graph Generation (SGG) is fundamental to structured visual understanding, yet existing benchmarks focus mainly on daily-life images and overlook scientific experiment scenes…
Comparison Drives Preference: Reference-Aware Modeling for AI-Generated Video Quality Assessment
Minghao Zou, Gen Liu, Guanghui Yue +5
The rapid advancement of generative models has led to a growing volume of AI-generated videos, making the automatic quality assessment of such videos increasingly important. Existi…
Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment
Yixiao Li, Xiaoyuan Yang, Guanghui Yue +6
Many super-resolution (SR) algorithms have been proposed to increase image resolution. However, full-reference (FR) image quality assessment (IQA) metrics for comparing and evaluat…
Temporal Inconsistency Guidance for Super-resolution Video Quality Assessment
Yixiao Li, Xiaoyuan Yang, Weide Liu +6
As super-resolution (SR) techniques introduce unique distortions that fundamentally differ from those caused by traditional degradation processes (e.g., compression), there is an i…
Asymmetric Information Enhanced Mapping Framework for Multirobot Exploration based on Deep Reinforcement Learning
Jiyu Cheng, Junhui Fan, Xiaolei Li +3
Despite the great development of multirobot technologies, efficiently and collaboratively exploring an unknown environment is still a big challenge. In this paper, we propose AIM-M…
Knowledge Distillation for Road Detection based on cross-model Semi-Supervised Learning
Wanli Ma, Oktay Karakus, Paul L. Rosin
The advancement of knowledge distillation has played a crucial role in enabling the transfer of knowledge from larger teacher models to smaller and more efficient student models, a…
Deep Generative Model based Rate-Distortion for Image Downscaling Assessment
Yuanbang Liang, Bhavesh Garg, Paul L Rosin +1
In this paper, we propose Image Downscaling Assessment by Rate-Distortion (IDA-RD), a novel measure to quantitatively evaluate image downscaling algorithms. In contrast to image-ba…
DiverseNet: Decision Diversified Semi-supervised Semantic Segmentation Networks for Remote Sensing Imagery
Wanli Ma, Oktay Karakus, Paul L. Rosin
Semi-supervised learning (SSL) aims to help reduce the cost of the manual labelling process by leveraging a substantial pool of unlabelled data alongside a limited set of labelled…