Abstract: In this paper we introduce a method for multi-class, monocular 3D object detection from a single RGB image, which exploits a novel disentangling transformation and a novel, self-supervised ...
Typically, any object that has been around longer than we have can give us a feeling of warmth. For example, scuffed-up wooden chairs, ceramics that have a small crack, and black-and-white photos ...
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Mastering Python for smoother autograder wins
Core principles of idiomatic Python for CS220 Clear and concise Python constructs can make it easier to meet grading criteria. Examples from Real Python and Python one-liner guides include using list ...
Proper waste sorting is very important for keeping our neighbourhoods clean and saving resources for the future. When we mix ...
Abstract: Open-world class-agnostic object detection aims to localize all objects in images regardless of whether their categories are known during training. Most existing studies focus on unannotated ...
Welcome to PyCIL, perhaps the toolbox for class-incremental learning with the most implemented methods. This is the code repository for "PyCIL: A Python Toolbox for Class-Incremental Learning" [paper] ...
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