3D Semantic Instance Maps: Leveraging Foundation Models for Language-Guided Navigation

Table of Links Abstract and 1 Introduction Related Works 2.1. Vision-and-Language Navigation 2.2. Semantic Scene Understanding and Instance Segmentation 2.3. 3D Scene Reconstruction Methodology 3.1. Data Collection 3.2. Open-set Semantic Information from Images 3.3. Creating the Open-set 3D Representation 3.4. Language-Guided Navigation Experiments 4.1. Quantitative Evaluation 4.2. Qualitative Results Conclusion and Future Work, Disclosure statement, … Read more

Visualizing Data Filtering and Augmentation in Generative Active Learning

Table of Links Abstract and 1 Introduction Related work 2.1. Generative Data Augmentation 2.2. Active Learning and Data Analysis Preliminary Our method 4.1. Estimation of Contribution in the Ideal Scenario 4.2. Batched Streaming Generative Active Learning Experiments and 5.1. Offline Setting 5.2. Online Setting Conclusion, Broader Impact, and References A. Implementation Details B. More ablations … Read more

Future of GAL: Dynamic Filtering Strategies and Generative Model in the Loop

Table of Links Abstract and 1 Introduction Related work 2.1. Generative Data Augmentation 2.2. Active Learning and Data Analysis Preliminary Our method 4.1. Estimation of Contribution in the Ideal Scenario 4.2. Batched Streaming Generative Active Learning Experiments and 5.1. Offline Setting 5.2. Online Setting Conclusion, Broader Impact, and References A. Implementation Details B. More ablations … Read more

Online vs. Offline Active Learning: Performance Comparison Across Iterations

Table of Links Abstract and 1 Introduction Related work 2.1. Generative Data Augmentation 2.2. Active Learning and Data Analysis Preliminary Our method 4.1. Estimation of Contribution in the Ideal Scenario 4.2. Batched Streaming Generative Active Learning Experiments and 5.1. Offline Setting 5.2. Online Setting Conclusion, Broader Impact, and References A. Implementation Details B. More ablations … Read more

Three Numbers. That’s All Your AI Needs to Work

If You Don’t Understand Eigenvalues, You Don’t Understand AI What if I told you that three numbers — just three — could predict whether your AI will work or catastrophically fail? No new architecture. No retraining. No infrastructure overhaul. Just simple math. Math that’s been sitting in textbooks since 1950, waiting for someone to bother … Read more

How Frontend Future Is Redefining Career Transitions for Busy Working Adults

Frontend Future is a part-time, beginner-friendly 12-week mentorship program that helps working adults learn frontend development, build real projects, gain internship experience, and receive long-term job-search support. Designed for absolute beginners, it focuses on practical skills, AI-powered learning, and a clear path toward modern, flexible tech careers.