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Found 14 papers, 8 papers with code
Applications of Tao General Difference in Discrete Domain
Tao general difference (TGD) is a novel theory and approach to difference computation for discrete sequences and arrays in multidimensional space.
Neural Impostor: Editing Neural Radiance Fields with Explicit Shape Manipulation
To tackle the problem of efficiently editing neural implicit fields, we introduce Neural Impostor, a hybrid representation incorporating an explicit tetrahedral mesh alongside a multigrid implicit field designated for each tetrahedron within the explicit mesh.
The changing rule of human bone density with aging based on a novel definition and mensuration of bone density with computed tomography
Our findings indicate that bone density exhibits a linear decline with age during adulthood between the ages of 39 and 80, with the rate of decline being approximately 1. 6 times faster in women than in men.
A Theory of General Difference in Continuous and Discrete Domain
This stems from a key disconnect between the infinitesimal quantities in continuous differentiation and the finite intervals in its discrete counterpart.
Learning from the Dictionary: Heterogeneous Knowledge Guided Fine-tuning for Chinese Spell Checking
Chinese Spell Checking (CSC) aims to detect and correct Chinese spelling errors.
Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction
Extensive experiments and detailed analyses not only demonstrate that the training data constructed by our method effectively improves the performance of CGEC models, but also reflect that our benchmark is an excellent resource for further development of the CGEC field.
Automatic Context Pattern Generation for Entity Set Expansion
In addition, we propose the GAPA, a novel ESE framework that leverages the aforementioned GenerAted PAtterns to expand target entities.
Heuristic Dropout: An Efficient Regularization Method for Medical Image Segmentation Models
This manuscript goes deep into the research of the Dropout algorithm, which is commonly used in neural networks to alleviate the overfitting problem.
The Past Mistake is the Future Wisdom: Error-driven Contrastive Probability Optimization for Chinese Spell Checking
However, there exists a gap between the learned knowledge of PLMs and the goal of CSC task.
Are we ready for a new paradigm shift? A Survey on Visual Deep MLP
In the GPU era, the locally and globally weighted summations are the current mainstreams, represented by the convolution and self-attention mechanism, as well as MLP.
Multi-encoder parse-decoder network for sequential medical image segmentation
We aim on enhancing medical image segmentation by using spatial continuity information in a proposed Multi-Encoder Parse-Decoder Network (MEPDNet) based on the fact that most of the medical images are sampled continuously.
Towards All-around Knowledge Transferring: Learning From Task-irrelevant Labels
We also provide a theoretical explanation of our method.
Facial Expression Recognition
Facial Expression Recognition (FER)
+2
SofGAN: A Portrait Image Generator with Dynamic Styling
To address this issue, we propose a SofGAN image generator to decouple the latent space of portraits into two subspaces: a geometry space and a texture space.
Automatic 3D Indoor Scene Modeling From Single Panorama
The recovered layout is then used to guide shape estimation of the remaining objects using their normal information.
