Dream the impossible: Outlier imagination with diffusion models
Utilizing auxiliary outlier datasets to regularize the machine learning model has
demonstrated promise for out-of-distribution (OOD) detection and safe prediction. Due to the …
demonstrated promise for out-of-distribution (OOD) detection and safe prediction. Due to the …
Weakly supervised instance segmentation via peak mining and filtering
Z Huang, D Pan, G Wu - IET Image Processing, 2024 - Wiley Online Library
Learning the full extent of pixel‐level instance response in a weakly supervised manner
remains unsatisfactory. Peak response maps (PRMs) localizes the discriminative object …
remains unsatisfactory. Peak response maps (PRMs) localizes the discriminative object …
Object Segmentation Dataset Generation Framework for Robotic Bin-Picking: Multi-Metric Analyse between Results Trained with Real and Synthetic Data
The implementation of deep learning approaches based on instance segmentation data
remains a persistent constraint in customized scenarios, owing to the time-consuming nature …
remains a persistent constraint in customized scenarios, owing to the time-consuming nature …