Feature Impact Balance Sem

Feature Impact Balance Sem (often implicitly referenced as "SEM" in the provided abstracts, referring to structural equation modeling or its generalizations) focuses on improving the accuracy and efficiency of data analysis, particularly in image segmentation and object detection tasks across diverse fields. Current research emphasizes leveraging advanced machine learning models, such as YOLOv8 and fine-tuned versions of the Segment Anything Model (SAM), alongside innovative data preprocessing and sampling techniques (e.g., compressive sensing, targeted sampling) to address challenges like limited labeled data and high-dimensional inputs. These advancements are significantly impacting various domains, including materials science (digital rock analysis, defect inspection), biomedical imaging (cryo FIB-SEM), and autonomous driving (3D object detection), by enabling more accurate and efficient analyses from complex datasets.

Papers

June 25, 2024

Hot-Distance: Combining One-Hot and Signed Distance Embeddings for Segmentation
Marwan Zouinkhi, Jeff L. Rhoades, Aubrey V. Weigel
Segmentation Based Approach Training Model Distance Matter Signed Distance Function High Temperature Segmentation Target Feature Impact Balance Sem

November 17, 2023

Zero-Shot Digital Rock Image Segmentation with a Fine-Tuned Segment Anything Model
Zhaoyang Ma, Xupeng He, Shuyu Sun, Bicheng Yan, Hyung Kwak, Jun Gao
Segment Anything Model SEM Image Digital Rock Feature Impact Balance Sem

July 28, 2023

YOLOv8 for Defect Inspection of Hexagonal Directed Self-Assembly Patterns: A Data-Centric Approach
Enrique Dehaerne, Bappaditya Dey, Hossein Esfandiar, Lander Verstraete, Hyo Seon Suh, Sandip Halder, Stefan De Gendt
Data Centric Defect Detection Look Once Version 8 Self Assembly Feature Impact Balance Sem

December 10, 2022

Multi-Sem Fusion: Multimodal Semantic Fusion for 3D Object Detection
Shaoqing Xu, Fang Li, Ziying Song, Jin Fang, Sifen Wang, Zhi-Xin Yang
3D Object Detection 3D Object Detector 3D Object Detection Benchmark 3D Parsing Feature Impact Balance Sem

November 7, 2022

A Targeted Sampling Strategy for Compressive Cryo Focused Ion Beam Scanning Electron Microscopy
Daniel Nicholls, Jack Wells, Alex W. Robinson, Amirafshar Moshtaghpour, Maryna Kobylynska, Roland A. Fleck, Angus I. Kirkland, Nigel D. Browning
Electron Microscopy Sampling Strategy Feature Impact Balance Sem

April 28, 2022

Representative period selection for power system planning using autoencoder-based dimensionality reduction
Marc Barbar, Dharik S. Mallapragada
Dimensionality Reduction Feature Impact Balance Sem Representative Period Selection

December 16, 2021

Causal Modeling With Infinitely Many Variables
Spencer Peters, Joseph Y. Halpern
Causal Model Causal Pattern Structural Equation Actual Causality Feature Impact Balance Sem

Feature Impact Balance Sem

Papers

Hot-Distance: Combining One-Hot and Signed Distance Embeddings for Segmentation

Zero-Shot Digital Rock Image Segmentation with a Fine-Tuned Segment Anything Model

YOLOv8 for Defect Inspection of Hexagonal Directed Self-Assembly Patterns: A Data-Centric Approach

Multi-Sem Fusion: Multimodal Semantic Fusion for 3D Object Detection

A Targeted Sampling Strategy for Compressive Cryo Focused Ion Beam Scanning Electron Microscopy

Representative period selection for power system planning using autoencoder-based dimensionality reduction

Causal Modeling With Infinitely Many Variables