astra-vision / ProLIPLinks
An extremely simple method for validation-free efficient adaptation of CLIP-like VLMs that is robust to the learning rate.
☆29Updated 6 months ago
Alternatives and similar repositories for ProLIP
Users that are interested in ProLIP are comparing it to the libraries listed below
Sorting:
- PyTorch code and pretrained weights for the UNIC models.☆41Updated last year
- ☆10Updated last year
- Code base of SynthCLIP: CLIP training with purely synthetic text-image pairs from LLMs and TTIs.☆100Updated 7 months ago
- [ECCV'24] Official PyTorch implementation of In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic Segmentation☆46Updated last year
- Original code base for On Pretraining Data Diversity for Self-Supervised Learning☆14Updated 10 months ago
- FreeDA: Training-Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation (CVPR 2024)☆45Updated last year
- [CVPR24] Official Implementation of GEM (Grounding Everything Module)☆132Updated 6 months ago
- [CVPR'24] Validation-free few-shot adaptation of CLIP, using a well-initialized Linear Probe (ZSLP) and class-adaptive constraints (CLAP)…☆78Updated 4 months ago
- [ECCV’24] Official repository for "BEAF: Observing Before-AFter Changes to Evaluate Hallucination in Vision-language Models"☆20Updated 7 months ago
- [NeurIPS 2023] Official Pytorch code for LOVM: Language-Only Vision Model Selection☆21Updated last year
- Official Pytorch codebase for Open-Vocabulary Instance Segmentation without Manual Mask Annotations [CVPR 2023]☆51Updated this week
- ☆26Updated last year
- Official code repo of PIN: Positional Insert Unlocks Object Localisation Abilities in VLMs☆26Updated 9 months ago
- ☆61Updated 2 years ago
- Code implementation of our NeurIPS 2023 paper: Vocabulary-free Image Classification☆107Updated last year
- ☆53Updated 2 months ago
- [CVPR 2023] Learning Visual Representations via Language-Guided Sampling☆149Updated 2 years ago
- Official Code Release for "Diagnosing and Rectifying Vision Models using Language" (ICLR 2023)☆34Updated 2 years ago
- Distribution-Aware Prompt Tuning for Vision-Language Models (ICCV 2023)☆43Updated last year
- Library implementation of "No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations"☆39Updated last year
- PyTorch Implementation of NACLIP in "Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation"☆66Updated last year
- ☆35Updated last year
- Augmenting with Language-guided Image Augmentation (ALIA)☆81Updated 2 years ago
- (NeurIPS 2024) What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights☆28Updated last year
- PyTorch implementation of the paper "No reason for no supervision: Improving the generalization of supervised models"☆18Updated 2 years ago
- The Official PyTorch Implementation of OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation☆34Updated last year
- Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling @ CVPR22☆42Updated 3 years ago
- Perceptual Grouping in Contrastive Vision-Language Models (ICCV'23)☆37Updated last year
- [CVPR 2024 Highlight] ImageNet-D☆44Updated last year
- Code release for "Language-conditioned Detection Transformer"☆87Updated last year