Pattern Recognition and Computer Vision

Scale-Adaptive Modulation Meet Compact Axial Transformer for Small Object Detection in UAV-Vision.- Lightweight and Multi-Scale Adaptive Network for Infrared Small Target Detection.- Multi-View Cross-Attention Network for Hyperspectral Object Tracking.- CountMamba: Exploring Multi-directional Selective State-Space Models for Plant Counting.- ECLNet: A Compact Encoder-Decoder Network for Efficient Camouflaged Object Detection.- Few-Shot Object Detection via Disentangling Class-Related Factors in Feature Distribution.- Multi-class token-guided end-to-end weakly supervised image semantic segmentation method.- Dynamic Subframe Splitting and Spatio-Temporal Motion Entangled Sparse Attention for RGB-E Tracking.- DIDNet: An End-to-End Directional Insulator Detection Network based on direction field.- L2FIG-Tracker: l2-norm based Fusion with Illumination Guidance for RGB-D Object TrackingCompleting Saliency from Details.- CDAF3D: Cross-Dimensional Attention Fusion for Indoor 3D Object Detection.- RETrack: Multi-Object Tracking by Associating Proposal Regions.- PGNET: A Real-time efficient model for underwater object detectionA Temporal Recognition Framework for Multi-Sheep Behaviour Using ViTSORT and YOLOv8-MS.- Tracking Transforming Objects: A Benchmark.- Modality-Shared Prototypes for Enhanced Unsupervised Visible-Infrared Person Re-identification.- Vehicle Re-identification with a Pose-aware Discriminative Part Learning Model.- Dual-Teacher Network with SSIM based Reverse Distillation for Anomaly DetectionCFMVOR: Federated Multi-view 3D Object Recognition Based on Compressed Learning.- Enhanced Anomaly Detection using Spatial-Alignment and Multi-scale Fusion.- Confidence-Weighted Teacher: Semi-Supervised Object Detection Based on Confidence Correction.- Shape-Aware Soft Label Assignment and Context Enhancement for Oriented Object Detection.- Chareption: Change-Aware Adaption Empowers Large Language Model for Effective Remote Sensing Image Change Captioning.- Spectral-Spatial Multi-view Sparse Self-Representation for Hyperspectral Band Selection.- Adaptive Cross-spatial Sensing Network for Change Detection.- HANet: Hierarchical Attention Network for Remote Sensing Images Semantic Segmentation.- BiReNet: Bilateral Network with Feature Fusion and Edge Detection for Remote Sensing Images Road Extraction.- Latent Feature Representation-Based Low Rank Subspace Clustering for Hyperspectral Band Selection.- DICMNet: Dynamic Irregular Resnet with Multi-direction Channel Remapping for Remote Sensing Road Extraction.- Discriminative Representation-based Classifier for Few-shot Remote Sensing Classification.- Hyperspectral Image Change Detection via Cross-Sample Slot Attention and Dual Gated Feed-Forward Network.- Hyperspectral Image Super-resolution Based on Dual-domain Gated Attention Network.- Spectral Channel-weighting CAT for Hyperspectral image ClassificationBFRNet: Bimodal Fusion and Rectification Network for Remote Sensing Semantic Segmentation.- SFFAFormer: An Semantic Fusion and Feature Accumulation Approach for Change Detection on Remote Sensing ImagesA Novel Multi-scale Feature Fusion based Network for Hyperspectral and Multispectral Image Fusion.- A Sidelobe-Aware Semi-Deformable Convolutional Ship Detection Network for Synthetic Aperture Radar Imagery.- Feature Exchange and Distribution-based Mining Land Detection Method by Multispectral Imagery.