Sense-GVT / DeCLIP
Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm
☆651Updated 2 years ago
Alternatives and similar repositories for DeCLIP:
Users that are interested in DeCLIP are comparing it to the libraries listed below
- [CVPR 2022] Official code for "Unified Contrastive Learning in Image-Text-Label Space"☆396Updated last year
- ☆522Updated 2 years ago
- Official PyTorch implementation of GroupViT: Semantic Segmentation Emerges from Text Supervision, CVPR 2022.☆758Updated 2 years ago
- ☆608Updated last year
- [CVPR 2022] DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting☆534Updated last year
- [ICLR 2022] code for "How Much Can CLIP Benefit Vision-and-Language Tasks?" https://arxiv.org/abs/2107.06383☆411Updated 2 years ago
- A PyTorch Lightning solution to training OpenAI's CLIP from scratch.☆692Updated 3 years ago
- Recent Advances in Vision and Language Pre-training (VLP)☆292Updated last year
- ☆997Updated 2 years ago
- [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decode…☆849Updated last year
- Official Open Source code for "Scaling Language-Image Pre-training via Masking"☆420Updated 2 years ago
- iBOT : Image BERT Pre-Training with Online Tokenizer (ICLR 2022)☆721Updated 3 years ago
- METER: A Multimodal End-to-end TransformER Framework☆369Updated 2 years ago
- Code release for SLIP Self-supervision meets Language-Image Pre-training☆766Updated 2 years ago
- code for TCL: Vision-Language Pre-Training with Triple Contrastive Learning, CVPR 2022☆261Updated 6 months ago
- X-VLM: Multi-Grained Vision Language Pre-Training (ICML 2022)☆478Updated 2 years ago
- A concise but complete implementation of CLIP with various experimental improvements from recent papers☆707Updated last year
- [CVPR 2022] Official code for "RegionCLIP: Region-based Language-Image Pretraining"☆761Updated last year
- Robust fine-tuning of zero-shot models☆696Updated 2 years ago
- Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).☆1,191Updated 10 months ago
- [NeurIPS 2023] Text data, code and pre-trained models for paper "Improving CLIP Training with Language Rewrites"☆277Updated last year
- Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch☆1,129Updated last year
- Code for ALBEF: a new vision-language pre-training method☆1,641Updated 2 years ago
- CLIP-like model evaluation☆696Updated last month
- Conceptual 12M is a dataset containing (image-URL, caption) pairs collected for vision-and-language pre-training.☆388Updated 2 years ago
- ☆275Updated 2 years ago
- Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch☆1,238Updated 2 years ago
- [CVPR 2023] Official repository of paper titled "MaPLe: Multi-modal Prompt Learning".☆738Updated last year
- CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet☆214Updated 2 years ago
- Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)☆1,943Updated 11 months ago