foppish
发表于 2025-3-26 21:20:50
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magnate
发表于 2025-3-27 01:39:00
Tensor Low-Rank Reconstruction for Semantic Segmentation,dic decomposition theory (., a high-rank tensor can be expressed as a combination of rank-1 tensors.), we design a low-rank-to-high-rank context reconstruction framework (., RecoNet). Specifically, we first introduce the tensor generation module (TGM), which generates a number of rank-1 tensors to c
终止
发表于 2025-3-27 07:45:26
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aerial
发表于 2025-3-27 10:20:35
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entail
发表于 2025-3-27 14:45:18
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无法取消
发表于 2025-3-27 18:30:33
Spatiotemporal Attacks for Embodied Agents,e temporal dimension, along the spatial dimension, we adversarially perturb the physical properties (., texture and 3D shape) of the contextual objects that appeared in the most important scene views. Extensive experiments on the EQA-v1 dataset for several embodied tasks in both the white-box and bl
CLEFT
发表于 2025-3-28 01:33:38
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Peculate
发表于 2025-3-28 05:25:30
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现实
发表于 2025-3-28 08:39:34
Class-Wise Dynamic Graph Convolution for Semantic Segmentation,ons, pyramid pooling or self-attention mechanism. In order to avoid potential misleading contextual information aggregation in previous works, we propose a class-wise dynamic graph convolution (CDGC) module to adaptively propagate information. The graph reasoning is performed among pixels in the sam
Anonymous
发表于 2025-3-28 13:22:30
Character-Preserving Coherent Story Visualization,ocuses on maintaining the continuity of generated images (frames), story visualization emphasizes preserving the global consistency of characters and scenes across different story pictures, which is very challenging since story sentences only provide sparse signals for generating images. Therefore,