amirbar / visual_prompting

Related projects ⓘ

Alternatives and complementary repositories for visual_prompting

• CVMI-Lab / SyntheticData
  Is synthetic data from generative models ready for image recognition?
  ☆176Updated last year
• ZhangYuanhan-AI / visual_prompt_retrieval
  [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"
  ☆166Updated 8 months ago
• hjbahng / visual_prompting
  Exploring Visual Prompts for Adapting Large-Scale Models
  ☆267Updated 2 years ago
• LijieFan / LaCLIP
  [NeurIPS 2023] Text data, code and pre-trained models for paper "Improving CLIP Training with Language Rewrites"
  ☆260Updated 10 months ago
• LightDXY / FT-CLIP
  CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet
  ☆208Updated last year
• GitGyun / visual_token_matching
  [ICLR'23 Oral] Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching
  ☆251Updated last year
• chongzhou96 / MaskCLIP
  Official PyTorch implementation of "Extract Free Dense Labels from CLIP" (ECCV 22 Oral)
  ☆405Updated 2 years ago
• dhg-wei / DeCap
  ICLR 2023 DeCap: Decoding CLIP Latents for Zero-shot Captioning
  ☆125Updated last year
• Lipurple / Grounded-Diffusion
  Open-vocabulary Object Segmentation with Diffusion Models
  ☆172Updated last year
• LAION-AI / scaling-laws-openclip
  Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)
  ☆153Updated 11 months ago
• ZhangYuanhan-AI / NOAH
  [TPAMI] Searching prompt modules for parameter-efficient transfer learning.
  ☆222Updated 11 months ago
• yossigandelsman / clip_text_span
  official implementation of "Interpreting CLIP's Image Representation via Text-Based Decomposition"
  ☆164Updated 2 months ago
• fundamentalvision / Uni-Perceiver
  ☆267Updated last year
• facebookresearch / DCI
  Densely Captioned Images (DCI) dataset repository.
  ☆159Updated 4 months ago
• alinlab / ifseg
  IFSeg: Image-free Semantic Segmentation via Vision-Language Model (CVPR 2023)
  ☆82Updated last year
• amazon-science / prompt-pretraining
  Official implementation for the paper "Prompt Pre-Training with Over Twenty-Thousand Classes for Open-Vocabulary Visual Recognition"
  ☆253Updated 6 months ago
• lisadunlap / ALIA
  Augmenting with Language-guided Image Augmentation (ALIA)
  ☆63Updated last year
• khanrc / tcl
  Official implementation of TCL (CVPR 2023)
  ☆109Updated last year
• wusize / CLIPSelf
  [ICLR2024 Spotlight] Code Release of CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction
  ☆168Updated 9 months ago
• zejiangh / MILAN
  PyTorch implementation of the paper "MILAN: Masked Image Pretraining on Language Assisted Representation" https://arxiv.org/pdf/2208.0604…
  ☆79Updated 2 years ago
• Understanding-Visual-Datasets / VisDiff
  Official implementation of "Describing Differences in Image Sets with Natural Language" (CVPR 2024 Oral)
  ☆108Updated 7 months ago
• weijiawu / DiffuMask
  [ICCV2023] DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models
  ☆153Updated last year
• cientgu / InstructDiffusion
  PyTorch implementation of InstructDiffusion, a unifying and generic framework for aligning computer vision tasks with human instructions.
  ☆393Updated 6 months ago
• ucasligang / awesome-MIM
  Reading list for research topics in Masked Image Modeling
  ☆332Updated 4 months ago
• ggjy / DeLVM
  ☆108Updated 5 months ago
• zh460045050 / V2L-Tokenizer
  ☆112Updated 5 months ago
• UCSC-VLAA / CLIPA
  [NeurIPS 2023] This repository includes the official implementation of our paper "An Inverse Scaling Law for CLIP Training"
  ☆298Updated 5 months ago
• kyegomez / Vit-RGTS
  Open source implementation of "Vision Transformers Need Registers"
  ☆143Updated last week
• zyf0619sjtu / DreamLIP
  [ECCV 2024] Official PyTorch implementation of DreamLIP: Language-Image Pre-training with Long Captions
  ☆106Updated 3 weeks ago
• UCSC-VLAA / DMAE
  [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"
  ☆99Updated last year