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Found 14 papers, 7 papers with code
Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo Labeling
Cryo-Electron Tomography (cryo-ET) is a 3D imaging technology facilitating the study of macromolecular structures at near-atomic resolution.
Fusion of regional and sparse attention in Vision Transformers
Modern vision transformers leverage visually inspired local interaction between pixels through attention computed within window or grid regions, in contrast to the global attention employed in the original ViT.
ACC-ViT : Atrous Convolution's Comeback in Vision Transformers
At present two classes of attentions prevail in vision transformers, regional and sparse attention.
ACC-UNet: A Completely Convolutional UNet model for the 2020s
This decade is marked by the introduction of Vision Transformer, a radical paradigm shift in broad computer vision.
SHREC 2022: Protein-ligand binding site recognition
This paper presents the methods that have participated in the SHREC 2022 contest on protein-ligand binding site recognition.
On the Importance of Asymmetry for Siamese Representation Learning
Many recent self-supervised frameworks for visual representation learning are based on certain forms of Siamese networks.
SHREC 2021: Classification in cryo-electron tomograms
To promote innovation in computational methods, we generate a novel simulated dataset to benchmark different methods of localization and classification of biological macromolecules in tomograms.
Using Steered Molecular Dynamic Tension for Assessing Quality of Computational Protein Structure Models
We used in total 4, 929 structure models for 24 target proteins from the Critical Assessment of Techniques of Structure Prediction (CASP) and investigated if the magnitude of the break force, i. e., the force required to rearrange the model structure, from the force profile was sufficient information for selecting near-native models.
Application of Sequence Embedding in Protein Sequence-Based Predictions
In sequence-based predictions, conventionally an input sequence is represented by a multiple sequence alignment (MSA) or a representation derived from MSA, such as a position-specific scoring matrix.
SHREC 2021: Retrieval and classification of protein surfaces equipped with physical and chemical properties
This paper presents the methods that have participated in the SHREC 2021 contest on retrieval and classification of protein surfaces on the basis of their geometry and physicochemical properties.
EnAET: A Self-Trained framework for Semi-Supervised and Supervised Learning with Ensemble Transformations
In this study, we propose a new EnAET framework to further improve existing semi-supervised methods with self-supervised information.
Ranked #1 on
Semi-Supervised Image Classification
on STL-10
A Simple but Effective BERT Model for Dialog State Tracking on Resource-Limited Systems
In a task-oriented dialog system, the goal of dialog state tracking (DST) is to monitor the state of the conversation from the dialog history.
Ranked #4 on
Dialogue State Tracking
on Wizard-of-Oz
A Gated Self-attention Memory Network for Answer Selection
Answer selection is an important research problem, with applications in many areas.
An expanded evaluation of protein function prediction methods shows an improvement in accuracy
To review progress in the field, the analysis also compared the best methods participating in CAFA1 to those of CAFA2.
Quantitative Methods
