Alternatives and similar repositories for BEAF

Users that are interested in BEAF are comparing it to the libraries listed below

• ytaek-oh / vl_compo
  ☆11Updated 10 months ago
• orrzohar / LOVM
  [NeurIPS 2023] Official Pytorch code for LOVM: Language-Only Vision Model Selection
  ☆21Updated last year
• ExplainableML / ImageSelect
  Code for the paper "If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by Selection"
  ☆27Updated last year
• amitakamath / vl_text_encoders_are_bottlenecks
  Code and datasets for "Text encoders are performance bottlenecks in contrastive vision-language models". Coming soon!
  ☆11Updated last year
• naver-ai / prolip
  ☆50Updated 2 months ago
• jaehong31 / SAFREE
  [ICLR 2025] SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image and Video Generation
  ☆37Updated 3 months ago
• alinlab / b2t
  Bias-to-Text: Debiasing Unknown Visual Biases through Language Interpretation
  ☆31Updated last year
• sterzhang / PVIT
  Official Repository of Personalized Visual Instruct Tuning
  ☆28Updated 2 months ago
• UW-Madison-Lee-Lab / CoBSAT
  Implementation and dataset for paper "Can MLLMs Perform Text-to-Image In-Context Learning?"
  ☆39Updated 2 months ago
• chenshuang-zhang / imagenet_d
  [CVPR 2024 Highlight] ImageNet-D
  ☆43Updated 7 months ago
• showlab / datacentric.vlp
  Compress conventional Vision-Language Pre-training data
  ☆51Updated last year
• seonwoo-min / GVRT
  [ECCV-2022]Grounding Visual Representations with Texts for Domain Generalization
  ☆31Updated 2 years ago
• Luodian / GenBench
  Benchmarking and Analyzing Generative Data for Visual Recognition
  ☆26Updated last year
• yuhui-zh15 / drml
  Official Code Release for "Diagnosing and Rectifying Vision Models using Language" (ICLR 2023)
  ☆33Updated last year
• Hritikbansal / generative-robustness
  Create generated datasets and train robust classifiers
  ☆35Updated last year
• tsb0601 / MultiMon
  ☆24Updated last year
• brendel-group / clip-ood
  Official code for the paper "Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?" (ICLR 2024)
  ☆11Updated 8 months ago
• TAU-VAILab / hierarcaps
  Code and data for the paper "Emergent Visual-Semantic Hierarchies in Image-Text Representations" (ECCV 2024)
  ☆28Updated 9 months ago
• tripletclip / TripletCLIP
  [NeurIPS 2024] Official PyTorch implementation of "Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives"
  ☆39Updated 5 months ago
• zycheiheihei / Transferable-Visual-Prompting
  [CVPR2024 Highlight] Official implementation for Transferable Visual Prompting. The paper "Exploring the Transferability of Visual Prompt…
  ☆39Updated 4 months ago
• kdariina / CLIP-not-BoW-unimodally
  Code for "CLIP Behaves like a Bag-of-Words Model Cross-modally but not Uni-modally"
  ☆11Updated 3 months ago
• k1rezaei / Text-to-concept
  ☆32Updated last year
• QUVA-Lab / PIN
  Official code repo of PIN: Positional Insert Unlocks Object Localisation Abilities in VLMs
  ☆26Updated 4 months ago
• mlvlab / DAPT
  Distribution-Aware Prompt Tuning for Vision-Language Models (ICCV 2023)
  ☆38Updated last year
• boyazeng / understand_bias
  Code release for "Understanding Bias in Large-Scale Visual Datasets"
  ☆20Updated 5 months ago
• TencentARC / TaCA
  Official code for the paper, "TaCA: Upgrading Your Visual Foundation Model with Task-agnostic Compatible Adapter".
  ☆16Updated last year
• wangf3014 / Adventurer
  ☆20Updated 2 months ago
• aszala / VPEval
  VPEval Codebase from Visual Programming for Text-to-Image Generation and Evaluation (NeurIPS 2023)
  ☆44Updated last year
• ytaek-oh / fsc-clip
  [EMNLP 2024] Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality
  ☆16Updated 7 months ago
• CVMI-Lab / clip-beyond-tail
  (NeurIPS 2024) What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights
  ☆25Updated 6 months ago