Mar 9, 2020 · In this paper, we present a novel Motion-Attentive Transition Network (MATNet) for zero-shot video object segmentation, which provides a new way of leveraging ...

Aug 12, 2020 · In this paper, we present a novel end-to-end learning neural network, ie, MATNet, for zero-shot video object segmentation (ZVOS).

This is a PyTorch implementation of our MATNet for unsupervised video object segmentation. Motion-Attentive Transition for Zero-Shot Video Object Segmentation.

In this paper, we present a novel Motion-Attentive Transi- tion Network (MATNet) for zero-shot video object segmen- tation, which provides a new way of ...

Aug 21, 2020 · In this paper, we present a novel end-to-end learning neural network, i.e., MATNet, for zero-shot video object segmentation (ZVOS).

A novel end-to-end learning neural network, i.e., MATNet, for zero-shot video object segmentation (ZVOS), motivated by the human visual attention behavior, ...

The deep interleaved structure captures the intrinsic characteristics of the human vision system and brings immediate improvement in segmentation accuracy.

In this paper, we present a novel Motion-Attentive Transition Network (MATNet) for zero-shot video object segmentation, which provides a new way of leveraging ...

We propose an Attentive Multi-Modality Collaboration. Network for zero-shot video object segmentation, which promotes deep collaboration of appearance and ...

In this paper, we present a novel Motion-Attentive Transition Network (MATNet) for zero-shot video object segmentation, which provides a new way of leveraging ...