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Found 7 papers, 2 papers with code
More than the Sum of Its Parts: Ensembling Backbone Networks for Few-Shot Segmentation
\acrlong{fss}, in particular, concerns the extension and optimization of traditional segmentation methods in challenging conditions where limited training examples are available.
Surgical fine-tuning for Grape Bunch Segmentation under Visual Domain Shifts
Mobile robots will play a crucial role in the transition towards sustainable agriculture.
Commonsense Spatial Reasoning for Visually Intelligent Agents
Differently from prior approaches to qualitative spatial reasoning, the proposed framework is robust to variations in the robot's viewpoint and object orientation.
Fit to Measure: Reasoning about Sizes for Robust Object Recognition
While object recognition solutions are traditionally based on Machine Learning methods, augmenting them with knowledge based reasoners has been shown to improve their performance.
Towards a Framework for Visual Intelligence in Service Robotics: Epistemic Requirements and Gap Analysis
A key capability required by service robots operating in real-world, dynamic environments is that of Visual Intelligence, i. e., the ability to use their vision system, reasoning components and background knowledge to make sense of their environment.
Guess What's on my Screen? Clustering Smartphone Screenshots with Active Learning
A significant proportion of individuals' daily activities is experienced through digital devices.
Text Extraction and Retrieval from Smartphone Screenshots: Building a Repository for Life in Media
Effective and efficient Information Extraction and Retrieval from digital screenshots is a crucial prerequisite to successful use of screen data.
