arhtur007 / Angular-Triplet-Center-Loss
Angular triplet center loss implementation in Pytorch.
☆12Updated 3 years ago
Related projects: ⓘ
- Metric Learning (npair loss & angular loss) on mnist and Visualizing by t_SNE☆35Updated last year
- Code for the paper: Audio-Visual Model Distillation Using Acoustic Images☆20Updated last year
- Domain Adaptation paper in various applications☆22Updated 4 years ago
- Implementation of Cross Transformer for spatially-aware few-shot transfer, in Pytorch☆50Updated 3 years ago
- Contrastive Bayesian Analysis for Deep Metric Learning and an Integrated Deep Metric Learning Toolbox Based on Pytorch☆12Updated last year
- Additive margin softmax loss in pytorch☆45Updated 5 years ago
- Code release for NeurIPS 2020 paper "Stochastic Normalization"☆23Updated 2 years ago
- PyTorch implementation of the computer vision related part of the paper "Unsupervised Data Augmentation for Consistency Training".☆11Updated 4 years ago
- Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features☆12Updated 3 years ago
- PyTorch implementations of "Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning" (NeurIPS2020…☆30Updated 3 years ago
- Source code of our submission (Rank 2) for Semi-Supervised Domain Adaptation task in VisDA-2019☆16Updated 4 years ago
- PyTorch implementation of Data-Efficient Image Recognition with Contrastive Predictive Coding☆13Updated 4 years ago
- [ICLR 2023] “ Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Better Representations”, Ziyu Jian…☆23Updated last year
- ☆12Updated 3 years ago
- Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms☆20Updated 2 years ago
- Deep Metric Transfer for Label Propagation with Limited Annotated Data☆49Updated last year
- Discriminative Prototypes learned by Dynamic Time Warping (DTW) for Time Series Classification (TSC)☆31Updated 3 years ago
- an implementation of mixup☆41Updated 4 years ago
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆51Updated 3 years ago
- ☆18Updated 3 years ago
- Generalized cross-modal NNs; new audiovisual benchmark (IEEE TNNLS 2019)☆25Updated 4 years ago
- Code release for NeurIPS 2020 paper "Co-Tuning for Transfer Learning"☆39Updated 2 years ago
- PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)☆98Updated 3 years ago
- Pytorch implementation of Exploring Simple Siamese Representation Learning☆19Updated last year
- ☆22Updated this week
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Updated 2 years ago
- Learning from Limited and Imperfect Data (L2ID): Classification Challenges☆16Updated 3 years ago
- Squeeze-and-Excitation module for convolutional neural networks written in PyTorch☆22Updated 6 years ago
- Pytorch implementation of Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation (CVPR'24)☆24Updated 3 months ago
- Code for "Associative alignment for few-shot image classification"- ECCV'2020.☆20Updated 3 years ago