Alternatives and similar repositories for visual_task_vectors

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

• k1rezaei / Text-to-concept
  ☆34Updated last year
• ChenDelong1999 / subobjects
  Official repository of paper "Subobject-level Image Tokenization" (ICML-25)
  ☆80Updated last month
• Understanding-Visual-Datasets / VisDiff
  Official implementation of "Describing Differences in Image Sets with Natural Language" (CVPR 2024 Oral)
  ☆120Updated last year
• OliverRensu / D-iGPT
  [ICML 2024] This repository includes the official implementation of our paper "Rejuvenating image-GPT as Strong Visual Representation Lea…
  ☆98Updated last year
• UW-Madison-Lee-Lab / CoBSAT
  Implementation and dataset for paper "Can MLLMs Perform Text-to-Image In-Context Learning?"
  ☆41Updated 2 months ago
• kaist-ami / BEAF
  [ECCV’24] Official repository for "BEAF: Observing Before-AFter Changes to Evaluate Hallucination in Vision-language Models"
  ☆20Updated 5 months ago
• chenshuang-zhang / imagenet_d
  [CVPR 2024 Highlight] ImageNet-D
  ☆43Updated 10 months ago
• eric-ai-lab / ComCLIP
  Official implementation and dataset for the NAACL 2024 paper "ComCLIP: Training-Free Compositional Image and Text Matching"
  ☆36Updated last year
• QUVA-Lab / PIN
  Official code repo of PIN: Positional Insert Unlocks Object Localisation Abilities in VLMs
  ☆26Updated 7 months ago
• uvavision / SyViC
  [ICCV 2023] Going Beyond Nouns With Vision & Language Models Using Synthetic Data
  ☆12Updated last year
• wjpoom / SPEC
  [CVPR 2024] The official implementation of paper "synthesize, diagnose, and optimize: towards fine-grained vision-language understanding"
  ☆45Updated 2 months ago
• tripletclip / TripletCLIP
  [NeurIPS 2024] Official PyTorch implementation of "Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives"
  ☆41Updated 8 months ago
• hammoudhasan / SynthCLIP
  Code base of SynthCLIP: CLIP training with purely synthetic text-image pairs from LLMs and TTIs.
  ☆100Updated 5 months ago
• philippe-eecs / vitok
  ☆34Updated 3 months ago
• mu-cai / matryoshka-mm
  Matryoshka Multimodal Models
  ☆113Updated 7 months ago
• hila-chefer / Conceptor
  Official implementation of the paper The Hidden Language of Diffusion Models
  ☆74Updated last year
• ozzafar / count_token_optimization
  ☆15Updated 11 months ago
• linzhiqiu / CLIP-FlanT5
  Training code for CLIP-FlanT5
  ☆28Updated last year
• iancovert / locality-alignment
  ☆52Updated 7 months ago
• locuslab / llava-token-compression
  ☆43Updated 9 months ago
• m1k2zoo / negbench
  Evaluation and dataset construction code for the CVPR 2025 paper "Vision-Language Models Do Not Understand Negation"
  ☆30Updated 4 months ago
• si0wang / ViCrit
  ☆23Updated 2 months ago
• jmerullo / limber
  https://arxiv.org/abs/2209.15162
  ☆52Updated 2 years ago
• ytaek-oh / vl_compo
  ☆10Updated last year
• techmonsterwang / iLLaMA
  Adapting LLaMA Decoder to Vision Transformer
  ☆30Updated last year
• facebookresearch / meru
  Code for the paper "Hyperbolic Image-Text Representations", Desai et al, ICML 2023
  ☆175Updated 2 years ago
• amitakamath / whatsup_vlms
  Code and datasets for "What’s “up” with vision-language models? Investigating their struggle with spatial reasoning".
  ☆57Updated last year
• see-say-segment / sesame
  🔥 [CVPR 2024] Official implementation of "See, Say, and Segment: Teaching LMMs to Overcome False Premises (SESAME)"
  ☆42Updated last year
• CVMI-Lab / clip-beyond-tail
  (NeurIPS 2024) What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights
  ☆27Updated 9 months ago
• UX-Decoder / FIND
  [NeurIPS 2024] Official implementation of the paper "Interfacing Foundation Models' Embeddings"
  ☆125Updated last year