astra-vision / ProLIPLinks
[WACV 2026] An extremely simple method for validation-free efficient adaptation of CLIP-like VLMs that is robust to the learning rate.
☆32Updated 9 months ago
Alternatives and similar repositories for ProLIP
Users that are interested in ProLIP are comparing it to the libraries listed below
Sorting:
- [CVPR'24] Validation-free few-shot adaptation of CLIP, using a well-initialized Linear Probe (ZSLP) and class-adaptive constraints (CLAP)…☆80Updated 8 months ago
- FreeDA: Training-Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation (CVPR 2024)☆49Updated last year
- ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models☆45Updated 2 years ago
- ☆10Updated last year
- Code implementation of our NeurIPS 2023 paper: Vocabulary-free Image Classification☆107Updated 2 years ago
- [ECCV'24] Official PyTorch implementation of In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic Segmentation☆49Updated last year
- Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling @ CVPR22☆43Updated 3 years ago
- Perceptual Grouping in Contrastive Vision-Language Models (ICCV'23)☆37Updated 2 years ago
- [ICCV 2023] New framework: Domain adaptation using a single prompt. Main contribution: Prompt-driven Instance Normalization (PIN)☆124Updated 10 months ago
- [CVPR24] Official Implementation of GEM (Grounding Everything Module)☆136Updated 9 months ago
- PyTorch implementation of the paper "No reason for no supervision: Improving the generalization of supervised models"☆18Updated 2 years ago
- [NeurIPS 2023] Official Pytorch code for LOVM: Language-Only Vision Model Selection☆21Updated 2 years ago
- PyTorch code and pretrained weights for the UNIC models.☆45Updated last year
- (NeurIPS 2024) What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights☆28Updated last year
- ☆29Updated last year
- [TIP] Exploring Effective Factors for Improving Visual In-Context Learning☆19Updated 7 months ago
- Original code base for On Pretraining Data Diversity for Self-Supervised Learning☆14Updated last year
- Code base of SynthCLIP: CLIP training with purely synthetic text-image pairs from LLMs and TTIs.☆102Updated 10 months ago
- Official Pytorch codebase for Open-Vocabulary Instance Segmentation without Manual Mask Annotations [CVPR 2023]☆52Updated 3 months ago
- ☆61Updated 2 years ago
- [CVPR 2024 Highlight] ImageNet-D☆46Updated last year
- Library implementation of "No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations"☆40Updated last year
- [CVPR 2024] Official Implementation of Collaborating Foundation models for Domain Generalized Semantic Segmentation☆76Updated 10 months ago
- Augmenting with Language-guided Image Augmentation (ALIA)☆80Updated 2 years ago
- ☆54Updated last year
- Distribution-Aware Prompt Tuning for Vision-Language Models (ICCV 2023)☆44Updated 2 years ago
- [CVPR 2023] Improving Zero-shot Generalization and Robustness of Multi-modal Models☆35Updated 2 years ago
- [NeurIPS 2024] Official PyTorch implementation of "Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives"☆46Updated last year
- [CVPR 2023] Learning Visual Representations via Language-Guided Sampling☆149Updated 2 years ago
- [CVPRW'23 Best Paper Award] Zero-shot Unsupervised Transfer Instance Segmentation