Nov 30, 2020 · We propose a new video instance segmentation framework built upon Transformers, termed VisTR, which views the VIS task as a direct end-to-end parallel sequence ...
At the core is a new, effective instance sequence matching and segmentation strategy, which supervises and segments instances at the sequence level as a whole.
VisTR: End-to-End Video Instance Segmentation with Transformers. This is the official implementation of the VisTR paper.
A new video instance segmentation framework built upon Transformers, termed VisTR, which views the VIS task as a direct end-to-end parallel sequence ...
At the core is a new, effective instance sequence matching and segmentation strategy, which supervises and segments instances at the sequence level as a whole.
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What is video instance segmentation?
Video instance segmentation (VIS) is the task that requires simultaneously classifying, segmenting and tracking object instances of interest in video.
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VisTR is a Transformer based video instance segmentation model. It views video instance segmentation as a direct end-to-end parallel sequence decoding/ ...
In this paper, we propose an instance segmentation Transformer, termed ISTR, which is the first end-to-end framework of its kind. ISTR predicts low-dimensional ...
A multimodal Transformer then encodes the feature relations and decodes instance-level features into a set of prediction sequences. Next, corresponding mask and ...
Duration: 4:59
Posted: Aug 16, 2022
Posted: Aug 16, 2022