Alternatives and similar repositories for Polos

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

• facebookresearch / genecis
  Code and Models for "GeneCIS A Benchmark for General Conditional Image Similarity"
  ☆61Updated 2 years ago
• SivanDoveh / DAC
  Repository for the paper: dense and aligned captions (dac) promote compositional reasoning in vl models
  ☆27Updated 2 years ago
• codezakh / LilT
  [ICLR 23] Contrastive Aligned of Vision to Language Through Parameter-Efficient Transfer Learning
  ☆40Updated 2 years ago
• arijitray1993 / COLA
  COLA: Evaluate how well your vision-language model can Compose Objects Localized with Attributes!
  ☆25Updated last year
• yonatanbitton / wysiwyr
  ☆37Updated 2 years ago
• naver-ai / prolip
  ☆55Updated 4 months ago
• jmerullo / limber
  https://arxiv.org/abs/2209.15162
  ☆53Updated 2 years ago
• aimagelab / pacscore
  [CVPR 2023 & IJCV 2025] Positive-Augmented Contrastive Learning for Image and Video Captioning Evaluation
  ☆64Updated 5 months ago
• k1rezaei / Text-to-concept
  ☆35Updated last year
• RAIVNLab / CREPE
  [CVPR23 Highlight] CREPE: Can Vision-Language Foundation Models Reason Compositionally?
  ☆35Updated 2 years ago
• RAIVNLab / sugar-crepe
  [NeurIPS 2023] A faithful benchmark for vision-language compositionality
  ☆89Updated last year
• eric-ai-lab / ComCLIP
  Official implementation and dataset for the NAACL 2024 paper "ComCLIP: Training-Free Compositional Image and Text Matching"
  ☆37Updated last year
• NVlabs / PALAVRA
  ☆53Updated 3 years ago
• showlab / datacentric.vlp
  Compress conventional Vision-Language Pre-training data
  ☆53Updated 2 years ago
• allenai / close
  ☆59Updated 2 years ago
• fawazsammani / nlxgpt
  NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks, CVPR 2022 (Oral)
  ☆49Updated last year
• saibr / hypvl
  This repository is related to 'Intriguing Properties of Hyperbolic Embeddings in Vision-Language Models', published at TMLR (2024), https…
  ☆21Updated last year
• edchengg / oven_eval
  ICCV 2023 (Oral) Open-domain Visual Entity Recognition Towards Recognizing Millions of Wikipedia Entities
  ☆43Updated 7 months ago
• UW-Madison-Lee-Lab / CoBSAT
  Implementation and dataset for paper "Can MLLMs Perform Text-to-Image In-Context Learning?"
  ☆42Updated 7 months ago
• DavidMChan / caption-by-committee
  Using LLMs and pre-trained caption models for super-human performance on image captioning.
  ☆42Updated 2 years ago
• UCSC-VLAA / CLIPS
  An Enhanced CLIP Framework for Learning with Synthetic Captions
  ☆39Updated 8 months ago
• hammoudhasan / SynthCLIP
  Code base of SynthCLIP: CLIP training with purely synthetic text-image pairs from LLMs and TTIs.
  ☆101Updated 9 months ago
• ZhangYuanhan-AI / visual_prompt_retrieval
  [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"
  ☆179Updated last year
• facebookresearch / OTTER
  This code provides a PyTorch implementation for OTTER (Optimal Transport distillation for Efficient zero-shot Recognition), as described …
  ☆71Updated 4 years ago
• Understanding-Visual-Datasets / VisDiff
  Official implementation of "Describing Differences in Image Sets with Natural Language" (CVPR 2024 Oral)
  ☆129Updated 2 months ago
• sIncerass / MVLPT
  code for "Multitask Vision-Language Prompt Tuning" https://arxiv.org/abs/2211.11720
  ☆56Updated last year
• Zi-hao-Wei / Efficient-Vision-Language-Pre-training-by-Cluster-Masking
  [CVPR 2024] Improving language-visual pretraining efficiency by perform cluster-based masking on images.
  ☆30Updated last year
• YujieLu10 / LLMScore
  LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation
  ☆134Updated 2 years ago
• facebookresearch / diht
  Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training
  ☆141Updated 3 weeks ago
• aszala / VPEval
  VPEval Codebase from Visual Programming for Text-to-Image Generation and Evaluation (NeurIPS 2023)
  ☆45Updated 2 years ago