Open-Vocabulary Video Segmentation
2 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Open-Vocabulary Video Segmentation
Most implemented papers
Global Knowledge Calibration for Fast Open-Vocabulary Segmentation
xujxyang/opentrans
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ICCV 2023
Recent advancements in pre-trained vision-language models, such as CLIP, have enabled the segmentation of arbitrary concepts solely from textual inputs, a process commonly referred to as open-vocabulary semantic segmentation (OVS).
Tracking Anything with Decoupled Video Segmentation
hkchengrex/Tracking-Anything-with-DEVA
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ICCV 2023
To 'track anything' without training on video data for every individual task, we develop a decoupled video segmentation approach (DEVA), composed of task-specific image-level segmentation and class/task-agnostic bi-directional temporal propagation.
