lehduong / poodle
Official implementation of POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples (NeurIPS 2021)
☆15Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for poodle
- ☆21Updated last year
- In search of effective and efficient Pipeline for Distillating Knowledge in Convolutional Neural Networks☆13Updated 4 years ago
- Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments (ECCV 2022)☆24Updated last week
- Official Implementation for "ESCAPE: Encoding Super-keypoints for Category-Agnostic Pose Estimation", CVPR 2024.☆8Updated 5 months ago
- TISE: Bag of Metrics for Text-to-Image Synthesis Evaluation (ECCV 2022)☆34Updated last week
- ReSSL: Relational Self-Supervised Learning with Weak Augmentation☆57Updated 2 years ago
- Augmenting with Language-guided Image Augmentation (ALIA)☆63Updated last year
- ☆58Updated 2 years ago
- PyTorch implementation of R-MAE https//arxiv.org/abs/2306.05411☆109Updated last year
- ☆56Updated 2 years ago
- Perceptual Grouping in Contrastive Vision-Language Models (ICCV'23)☆37Updated 10 months ago
- (NeurIPS 2022) Self-Supervised Visual Representation Learning with Semantic Grouping☆95Updated last year
- PyTorch implementation of the paper "MILAN: Masked Image Pretraining on Language Assisted Representation" https://arxiv.org/pdf/2208.0604…☆79Updated 2 years ago
- This code provides a PyTorch implementation for OTTER (Optimal Transport distillation for Efficient zero-shot Recognition), as described …☆64Updated 2 years ago
- ☆44Updated 2 years ago
- [ICCV 2023] Official implementation of "PØDA: Prompt-driven Zero-shot Domain Adaptation"☆105Updated this week
- Code for the paper titled "CiT Curation in Training for Effective Vision-Language Data".☆78Updated last year
- [ICCV 2021] Towards Interpretable Deep Metric Learning with Structural Matching☆91Updated 3 years ago
- [CVPR2022] PyTorch re-implementation of Prompt Distribution Learning☆15Updated last year
- Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training☆132Updated last year
- ECCV2022,Bootstrapped Masked Autoencoders for Vision BERT Pretraining☆98Updated 2 years ago
- Continual Forgetting for Pre-trained Vision Models (CVPR 2024)☆39Updated last month
- [ICLR2024] Exploring Target Representations for Masked Autoencoders☆51Updated 10 months ago
- Official codes for ConMIM (ICLR 2023)☆57Updated last year
- Code and results accompanying our paper titled CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets☆54Updated last year
- [CVPRW 2023] Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion☆22Updated 9 months ago
- [CVPR23 Highlight] CREPE: Can Vision-Language Foundation Models Reason Compositionally?☆32Updated last year
- [CVPR 2023] Improving Zero-shot Generalization and Robustness of Multi-modal Models☆31Updated last year
- A PyTorch implementation of Mugs proposed by our paper "Mugs: A Multi-Granular Self-Supervised Learning Framework".☆83Updated 9 months ago
- This repo is the official implementation of UPL (Unsupervised Prompt Learning for Vision-Language Models).☆106Updated 2 years ago