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NVIDIA’s Minimal Video Instance Segmentation Framework Achieves SOTA Performance Without Video-Based Training
Aug. 9, 2022, 3:55 p.m. | Synced
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In the new paper MinVIS: A Minimal Video Instance Segmentation Framework Without Video-based Training, an NVIDIA research team presents MinVIS, a minimal video instance segmentation framework that outperforms state-of-the-art VIS approaches without requiring video-based training.
The post NVIDIA’s Minimal Video Instance Segmentation Framework Achieves SOTA Performance Without Video-Based Training first appeared on Synced.
ai artificial intelligence computer vision & graphics deep-neural-networks framework machine learning machine learning & data science ml nvidia performance research segmentation sota technology training video video instance segmentation
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