Pattern Recognition, Kartoniert / Broschiert

Klappentext

.- Computer Vision Systems and Applications.

.- Box it and Track it: A Weakly Supervised Framework for Cell Tracking.

.- A Cascaded Dilated Convolution Approach for Mpox Lesion Classification.

.- HistDiST: Histopathological Diffusion-based Stain Transfer.

.- Deep Learning-Assisted Dynamic Mode Decomposition for Non-resonant Background Removal in CARS Spectroscopy.

.- γ-Quant: Towards Learnable Quantization for Low-bit Pattern Recognition.

.- EVCS: A Benchmark for Fine-Grained Electric Vehicle Charging Station Detection.

.- Video Analysis and Synthesis.

.- SegSLR: Promptable Video Segmentation for Isolated Sign Language Recognition.

.- Video Object Segmentation-aware Audio Generation.

.- MCUCoder: Adaptive Bitrate Learned Video Compression for IoT Devices.

.- VisualChef: Generating Visual Aids in Cooking via Mask Inpainting.

.- StorySync: Training-Free Subject Consistency via Region Harmonization.

.- Structured Universal Adversarial Attacks on Object Detection for Video Sequences.

.- Road Obstacle Video Segmentation.

.- Machine Learning Methods.

.- Don't Miss Out on Novelty: Importance of Novel Features for Deep Anomaly Detection.

.- LADB: Latent Aligned Diffusion Bridges for Semi-Supervised Domain Translation.

.- On the Dangers of Bootstrapping Generation for Continual Learning and Beyond.

.- Combined Image Data Augmentations diminish the benefits of Adaptive Label Smoothing.

.- Efficient Masked Attention Transformer for Few-Shot Classification and Segmentation.

.- Applications of Foundation Models.

.- Using Knowledge Graphs to harvest datasets for efficient CLIP model training.

.- Unlocking In-Context Learning for Natural Datasets Beyond Language Modelling.

.- Investigating Structural Pruning and Recovery Techniques for Compressing Multimodal Large Language Models: An Empirical Study.

.- Assessing Foundation Models for Mold Colony Detection with Limited Training Data.

.- Common Data Properties Limit Object-Attribute Binding in CLIP.

.- subCellSAM: Zero-Shot (Sub-)Cellular Segmentation for Hit Validation in Drug Discovery.

.- Safety and Robustness.

.- synth-dacl: Does Synthetic Defect Data Enhance Segmentation Accuracy and Robustness for Real-World Bridge Inspections?.

.- FedPCE: Federated Personalized Client Embeddings for Post-training Knowledge Distillation.

.- Object Risk Estimation for Autonomous Driving Safety.

.- Rethinking Semi-supervised Segmentation Beyond Accuracy: Robustness and Reliability.

.- Detection of Synthetic Face Images: Accuracy, Robustness, Generalization.

.- 3D Perception and Reconstruction.

.- MT-Occ: Single-View 3D Occupancy Prediction via Multi-Task Distillation.

.- Hierarchical Insights: Exploiting Structural Similarities for Reliable 3D Semantic Segmentation.

.- CoProU-VO: Combining Projected Uncertainty for End-to-End Unsupervised Monocular Visual Odometry.

.- Combining Absolute and Semi-Generalized Relative Poses for Visual Localization.

.- Graph Roof Reconstruction with Synthetic Data from Misaligned Labels.

.- sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views.

.- Photogrammetry and Remote Sensing.

.- NaT-ReX: Naturalness Assessment with Transformer-Based Reliable Explainability.

.- Semantic Segmentation of Structural Damage: A Comparative Study of YOLO11 and Encoder-Decoder Networks.

.- Can Multitask Learning Enhance Model Explainability?.

.- Out-of-Distribution Detection in LiDAR Semantic Segmentation Using Epistemic Uncertainty from Hierarchical GMMs.

.- RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Sequence Chart.