Visual Explanation using Uncertainty based Class Activation Maps
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Updated
Jan 27, 2020 - Python
Visual Explanation using Uncertainty based Class Activation Maps
This repository implements the use of AI for robot tasks.
Training a new classification network which should tell the identity label of an image and also be able to classify: ● Gender as Male/Female ● Wearing Glasses/ Not Wearing Glasses ● Smiling/ Not Smiling ● Wearing hat/ not wearing hat ● young/old. As we need 5 outputs from a single input. The custom CNN model consists of NN architecture with 5 he…
This repository contains the Jupyter Notebook for single and multi object detection on the PASCAL VOC dataset.
Official implementation of "Modeling Soft Intervention Effects for Implicit Causal Representation Learning" (Machine Learning, Springer 2026). ICRL-SM learns identifiable causal representations from soft interventions via a causal mechanism switch variable.
AI-based product condition detection using BLIP-2 + FastAPI + Phi-4 (Ollama)
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