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Found 5 papers, 2 papers with code
Multi-modal Video Chapter Generation
On top of this dataset, we design an effective baseline specificlly for video chapters generation task.
A Two-Stage Framework to Generate Video Chapter
On top of this dataset, we propose a two-stage framework to perform chapter localization and chapter title generation.
Continual Local Replacement for Few-shot Learning
The goal of few-shot learning is to learn a model that can recognize novel classes based on one or few training data.
Learning Continually from Low-shot Data Stream
To solve these two limits, the deep learning model should not only be able to learn from a few of data, but also incrementally learn new concepts from data stream over time without forgetting the previous knowledge.
JigsawNet: Shredded Image Reassembly using Convolutional Neural Network and Loop-based Composition
Existing reassembly pipelines commonly consist of a local matching stage and a global compositions stage.
