Abstract:360 • video saliency detection is one of the challenging benchmarks for 360 • video understanding since non-negligible distortion and discontinuity occur in the projection of any format of 360 • videos, and capture-worthy viewpoint in the omnidirectional sphere is ambiguous by nature. We present a new framework named Panoramic Vision Transformer (PAVER). We design the encoder using Vision Transformer with deformable convolution, which enables us not only to plug pretrained models from normal videos into our ar… Show more
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