xmed-lab / HCGNetLinks
J-BHI 2024: Exploiting Hierarchical Interactions for Protein Surface Learning
☆16Updated last year
Alternatives and similar repositories for HCGNet
Users that are interested in HCGNet are comparing it to the libraries listed below
Sorting:
- ☆31Updated 2 years ago
- ☆18Updated 3 years ago
- The code for the paper "Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders" (AAAI'24).☆38Updated 2 years ago
- MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation☆25Updated 2 years ago
- ICLR 2023 and ICML 2023 paper☆22Updated last year
- Official implementation for 'Class-Balancing Diffusion Models'☆54Updated last year
- [ICASSP2025] ConcealGS: Conceal Implicit Information in 3D Gaussian Splatting☆18Updated 11 months ago
- [CVPR 2024] The official implementation of paper "Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training"☆36Updated last year
- Official PyTorch implementation for "Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels"☆96Updated last year
- ☆113Updated last year
- [Preprint 2022] “Can We Solve 3D Vision Tasks Starting from A 2D Vision Transformer?” by Yi Wang, Zhiwen Fan, Tianlong Chen, Hehe Fan, Zh…☆63Updated 2 years ago
- ☆37Updated 2 years ago
- [CVPR'24] Neural Clustering based Visual Representation Learning☆45Updated 3 months ago
- [ICCV 2025 Highlight] Rep-MTL: Unleashing the Power of Representation-level Task Saliency for Multi-Task Learning☆22Updated 5 months ago
- Official implementation of "Can Language Understand Depth?"☆83Updated 3 years ago
- [NeurIPS 2022 Spotlight] Learning Equivariant Segmentation with Instance-Unique Querying☆22Updated 3 years ago
- [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?☆103Updated last year
- (ICCV 2021 Oral) Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation.☆64Updated 4 years ago
- Unofficial implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"☆96Updated last year
- [CVPR 2023] Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning☆22Updated 2 years ago
- [NeurIPS2023] Implementation of the paper: Explore In-Context Learning for 3D Point Cloud Understanding☆72Updated last year
- The official github repo for "Test-Time Training with Masked Autoencoders"☆91Updated 2 years ago
- A much powerful probing method to tune your model with promising performance and linear probing training cost!☆15Updated 2 years ago
- [ICML 2022] Benchmarking and Analyzing Point Cloud Classification under Corruptions https://arxiv.org/abs/2202.03377☆63Updated last year
- (ICML 2024) PyTorch implementation of "Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes"☆17Updated last year
- The official implementation of the CVPR'2022 paper Hyperspherical Consistency Regularization.☆29Updated 3 years ago
- [ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining☆150Updated last year
- Multi-Anchor Active Domain Adaptation for Semantic Segmentation (ICCV 2021 Oral)☆46Updated 3 years ago
- Imbalanced learning tool for imbalanced recognition and segmentation☆88Updated 2 years ago
- CVPR2023:Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection☆26Updated 2 years ago