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Found 5 papers, 1 papers with code
Active Mining Sample Pair Semantics for Image-text Matching
2) The weak generalization ability of the model leads to the poor effect of image and text matching on large-scale datasets.
Robust Depth Linear Error Decomposition with Double Total Variation and Nuclear Norm for Dynamic MRI Reconstruction
By adding linear image domain error analysis, the noise is reduced after under-sampled and DFT processing, and the anti-interference ability of the algorithm is enhanced.
Self-supervised Fetal MRI 3D Reconstruction Based on Radiation Diffusion Generation Model
Finally, the experimental results on real-world fetal brain MRI stacks demonstrate the state-of-the-art performance of our method.
Superpoint Transformer for 3D Scene Instance Segmentation
The key step in this framework is a novel query decoder with transformers that can capture the instance information through the superpoint cross-attention mechanism and generate the superpoint masks of the instances.
Ranked #4 on
3D Instance Segmentation
on ScanNet(v2)
Unsupervised Multi-view Clustering by Squeezing Hybrid Knowledge from Cross View and Each View
To ensure that we achieve effective sparse representation and clustering performance on the original data matrix, adaptive graph regularization and unsupervised clustering constraints are also incorporated in the proposed model to preserve the internal structural features of the data.
