gaomingqi/VOS-Review
Datasets and Papers (with codes) discussed in "Deep Learning for Video Object Segmentation: A Review", Artificial Intelligence Review, 2023.
This resource helps researchers and practitioners explore cutting-edge techniques for video object segmentation. It compiles datasets and research papers on deep learning methods that outline what goes in (video frames with objects to be tracked) and what comes out (precise masks around specific objects across the video sequence). This is for academics, computer vision engineers, and AI researchers working on video analysis and understanding.
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Use this if you are a researcher or engineer looking for a comprehensive overview and curated list of deep learning methods and datasets for isolating objects in videos.
Not ideal if you are looking for an out-of-the-box tool or library to perform video object segmentation without diving into the underlying research.
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Oct 30, 2023
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