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View article: Intelligent recognition method for drilling conditions of deep formation based on LSTM neural network
Intelligent recognition method for drilling conditions of deep formation based on LSTM neural network Open
Deep formation drilling is characterized by high investment and risk. Real-time identification of drilling conditions is fundamental and prerequisite for improving drilling efficiency and reducing complex incidents. Traditionally, drilling…
View article: ACMamba: Fast Unsupervised Anomaly Detection via An Asymmetrical Consensus State Space Model
ACMamba: Fast Unsupervised Anomaly Detection via An Asymmetrical Consensus State Space Model Open
Unsupervised anomaly detection in hyperspectral images (HSI), aiming to detect unknown targets from backgrounds, is challenging for earth surface monitoring. However, current studies are hindered by steep computational costs due to the hig…
View article: State-Space Model Meets Linear Attention: A Hybrid Architecture for Internal Wave Segmentation
State-Space Model Meets Linear Attention: A Hybrid Architecture for Internal Wave Segmentation Open
Internal waves (IWs) play a crucial role in the transport of energy and matter within the ocean while also posing significant risks to marine engineering, navigation, and underwater communication systems. Consequently, effective segmentati…
View article: Silicon Waveguides and Temperature-Dependent Performance
Silicon Waveguides and Temperature-Dependent Performance Open
This chapter explores silicon-on-insulator (SOI) waveguides, emphasizing the temperature-dependent effects on their performance. SOI waveguides, integral components of integrated photonic circuits, exhibit properties highly sensitive to te…
View article: Cascaded Hierarchical Attention with Adaptive Fusion for Visual Grounding in Remote Sensing
Cascaded Hierarchical Attention with Adaptive Fusion for Visual Grounding in Remote Sensing Open
Visual grounding for remote sensing (RSVG) is the task of localizing the referred object in remote sensing (RS) images by parsing free-form language descriptions. However, RSVG faces the challenge of low detection accuracy due to unbalance…
View article: AIM 2025 Rip Current Segmentation (RipSeg) Challenge Report
AIM 2025 Rip Current Segmentation (RipSeg) Challenge Report Open
This report presents an overview of the AIM 2025 RipSeg Challenge, a competition designed to advance techniques for automatic rip current segmentation in still images. Rip currents are dangerous, fast-moving flows that pose a major risk to…
View article: SIS-Challenge: Event-based Spatio-temporal Instance Segmentation Challenge at the CVPR 2025 Event-based Vision Workshop
SIS-Challenge: Event-based Spatio-temporal Instance Segmentation Challenge at the CVPR 2025 Event-based Vision Workshop Open
We present an overview of the Spatio-temporal Instance Segmentation (SIS) challenge held in conjunction with the CVPR 2025 Event-based Vision Workshop. The task is to predict accurate pixel-level segmentation masks of defined object classe…
View article: Self-similarity Analysis in Deep Neural Networks
Self-similarity Analysis in Deep Neural Networks Open
Current research has found that some deep neural networks exhibit strong hierarchical self-similarity in feature representation or parameter distribution. However, aside from preliminary studies on how the power-law distribution of weights…
View article: VJDNet: A Simple Variational Joint Discrimination Network for Cross-Image Hyperspectral Anomaly Detection
VJDNet: A Simple Variational Joint Discrimination Network for Cross-Image Hyperspectral Anomaly Detection Open
To enhance the generalization of networks and avoid redundant training efforts, cross-image hyperspectral anomaly detection (HAD) based on deep learning has been gradually studied in recent years. Cross-image HAD aims to perform anomaly de…
View article: RegistrationMamba: A Mamba-based Registration Framework Integrating Multi-Expert Feature Learning for Cross-Modal Remote Sensing Images
RegistrationMamba: A Mamba-based Registration Framework Integrating Multi-Expert Feature Learning for Cross-Modal Remote Sensing Images Open
Cross-modal remote sensing image (CRSI) registration is critical for multi-modal image applications. However, CRSI mainly faces two challenges: significant nonlinear radiometric variations between cross-modal images and limited textures hi…
View article: A Novel Adaptive Fine-Tuning Algorithm for Multimodal Models: Self-Optimizing Classification and Selection of High-Quality Datasets in Remote Sensing
A Novel Adaptive Fine-Tuning Algorithm for Multimodal Models: Self-Optimizing Classification and Selection of High-Quality Datasets in Remote Sensing Open
The latest research indicates that Large Vision-Language Models (VLMs) have a wide range of applications in the field of remote sensing. However, the vast amount of image data in this field presents a challenge in selecting high-quality mu…
View article: Meta knowledge assisted Evolutionary Neural Architecture Search
Meta knowledge assisted Evolutionary Neural Architecture Search Open
Evolutionary computation (EC)-based neural architecture search (NAS) has achieved remarkable performance in the automatic design of neural architectures. However, the high computational cost associated with evaluating searched architecture…
View article: Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection
Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection Open
Deep learning methods have shown promising performances in remote sensing image change detection (CD). However, existing methods usually train a dataset-specific deep network for each dataset. Due to the significant differences in the data…
View article: Community evolution prediction based on feature change patterns in social networks
Community evolution prediction based on feature change patterns in social networks Open
Predicting community evolution in dynamic social networks is crucial for relevant authorities to understand trends and implement safety measures in advance. Most existing algorithms for predicting community evolution rely on extracting com…
View article: NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: Methods and Results
NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: Methods and Results Open
This paper presents a review for the NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement. The challenge comprises two tracks: (i) Efficient Video Quality Assessment (KVQ), and (ii) Diffusion-based Image Super-Re…
View article: ACMamba: Fast Unsupervised Anomaly Detection via An Asymmetrical Consensus State Space Model
ACMamba: Fast Unsupervised Anomaly Detection via An Asymmetrical Consensus State Space Model Open
Unsupervised anomaly detection in hyperspectral images (HSI), aiming to detect unknown targets from backgrounds, is challenging for earth surface monitoring. However, current studies are hindered by steep computational costs due to the hig…
View article: DiffMOD: Progressive Diffusion Point Denoising for Moving Object Detection in Remote Sensing
DiffMOD: Progressive Diffusion Point Denoising for Moving Object Detection in Remote Sensing Open
Moving object detection (MOD) in remote sensing is significantly challenged by low resolution, extremely small object sizes, and complex noise interference. Current deep learning-based MOD methods rely on probability density estimation, wh…
View article: STSeg-Complex Video Object Segmentation: The 1st Solution for 4th PVUW MOSE Challenge
STSeg-Complex Video Object Segmentation: The 1st Solution for 4th PVUW MOSE Challenge Open
Segmentation of video objects in complex scenarios is highly challenging, and the MOSE dataset has significantly contributed to the development of this field. This technical report details the STSeg solution proposed by the "imaplus" team.…
View article: Generalization-aware Remote Sensing Change Detection via Domain-agnostic Learning
Generalization-aware Remote Sensing Change Detection via Domain-agnostic Learning Open
Change detection has essential significance for the region's development, in which pseudo-changes between bitemporal images induced by imaging environmental factors are key challenges. Existing transformation-based methods regard pseudo-ch…
View article: Attribute-Based Learning for Remote Sensing Image Captioning in Unseen Scenes
Attribute-Based Learning for Remote Sensing Image Captioning in Unseen Scenes Open
Remote sensing image captioning (RSIC) aims to describe ground objects and scenes within remote sensing images in natural language form. As the complexity and diversity of scenes in remote sensing images increase, existing methods, althoug…
View article: Dynamic spatio-temporal pruning for efficient spiking neural networks
Dynamic spatio-temporal pruning for efficient spiking neural networks Open
Spiking neural networks (SNNs), which draw from biological neuron models, have the potential to improve the computational efficiency of artificial neural networks (ANNs) due to their event-driven nature and sparse data flow. SNNs rely on d…
View article: EgoSplat: Open-Vocabulary Egocentric Scene Understanding with Language Embedded 3D Gaussian Splatting
EgoSplat: Open-Vocabulary Egocentric Scene Understanding with Language Embedded 3D Gaussian Splatting Open
Egocentric scenes exhibit frequent occlusions, varied viewpoints, and dynamic interactions compared to typical scene understanding tasks. Occlusions and varied viewpoints can lead to multi-view semantic inconsistencies, while dynamic objec…
View article: Screening and Identification of Biocontrol Bacteria for Anthracnose in <i>Mahonia eurybracteata</i> Fedde
Screening and Identification of Biocontrol Bacteria for Anthracnose in <i>Mahonia eurybracteata</i> Fedde Open
Mahonia eurybracteata exhibits characteristics related to heat dissipation, nutritional supplementation, and possesses antimicrobial and anticancer properties. Despite its widespread cultivation through artificial means, the detrimental im…
View article: DeProPose: Deficiency-Proof 3D Human Pose Estimation via Adaptive Multi-View Fusion
DeProPose: Deficiency-Proof 3D Human Pose Estimation via Adaptive Multi-View Fusion Open
3D human pose estimation has wide applications in fields such as intelligent surveillance, motion capture, and virtual reality. However, in real-world scenarios, issues such as occlusion, noise interference, and missing viewpoints can seve…
View article: BSG-WSL: BackScatter-guided weakly supervised learning for water mapping in SAR images
BSG-WSL: BackScatter-guided weakly supervised learning for water mapping in SAR images Open
Extracting and analyzing water resources in Synthetic Aperture Radar (SAR) images is crucial for flood management and environmental resource planning due to the ability to monitor ground all-weather and all-time. However, extracting water …
View article: Learning Evolution via Optimization Knowledge Adaptation
Learning Evolution via Optimization Knowledge Adaptation Open
Evolutionary algorithms (EAs) maintain populations through evolutionary operators to discover diverse solutions for complex tasks while gathering valuable knowledge, such as historical population data and fitness evaluations. However, trad…
View article: Curriculum Preview and Review Based on Knowledge Distillation for Hyperspectral Image Classification
Curriculum Preview and Review Based on Knowledge Distillation for Hyperspectral Image Classification Open
Applying knowledge distillation to hyperspectral image (HSI) classification has become a significant research area, aiming to develop a student network with low computational complexity and high classification performance. However, the tra…