May 30, 2024 · This framework utilizes a hyper transformer equipped with a dynamic convolution head to directly learn shape priors and accurately predict ...
May 30, 2024 · This framework utilizes a hyper transformer equipped with a dynamic convolution head to directly learn shape priors and accurately predict ...
Jun 2, 2024 · This framework utilizes a hyper transformer equipped with a dynamic convolution head to directly learn shape priors and accurately predict ...
May 30, 2024 · The paper introduces a new deep learning model called the Hyper-Transformer, which is designed to tackle the challenge of amodal completion.
Coarse-to-Fine Amodal Segmentation with Shape Prior Jianxiong Gao, Xuelin Qian ... Hyper-Transformer for Amodal Completion Jianxiong Gao*, Xuelin Qian ...
This work presents AISFormer, an AIS framework, with a Transformer-based mask head, which explicitly models the complex coherence between occluder, visible, ...
Hyper-Transformer for Amodal Completion ... The multi-scale features from the image branch guide the hyper transformer in learning shape priors and in generating ...
This work presents the first all-in-one end-to-end trainable model for semantic amodal segmentation that predicts theAmodal instance masks as well as their ...
This framework utilizes a hyper transformer equipped with a dynamic convolution head to directly learn shape priors and accurately predict amodal masks.
这段摘要讲述了如何解决amodal object completion这个复杂的任务，该任务需要基于可见的部分和背景信息来预测物体的不可见部分。学习形状先验对于有效的amodal ...