Alternatives and similar repositories for vismin

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

• sinahmr / NACLIP
  PyTorch Implementation of NACLIP in "Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation"
  ☆56Updated 9 months ago
• leaves162 / CLIPtrase
  cliptrase
  ☆35Updated 9 months ago
• ytaek-oh / vl_compo
  ☆10Updated 11 months ago
• 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.
  ☆28Updated last year
• wuw2019 / LoTLIP
  [NeurIPS 2024] Official PyTorch implementation of LoTLIP: Improving Language-Image Pre-training for Long Text Understanding
  ☆43Updated 5 months ago
• aimagelab / freeda
  FreeDA: Training-Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation (CVPR 2024)
  ☆44Updated 10 months ago
• seilk / VisAttnSink
  [ICLR 2025] See What You Are Told: Visual Attention Sink in Large Multimodal Models
  ☆30Updated 4 months ago
• Shengcao-Cao / groundLMM
  Emerging Pixel Grounding in Large Multimodal Models Without Grounding Supervision
  ☆41Updated 3 months ago
• ExplainableML / cosmos
  [CVPR 2025] COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training
  ☆21Updated 3 months ago
• aim-uofa / DiffewS
  [NeurIPS'24] Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation (Diffews)
  ☆38Updated 2 months ago
• meetdavidwan / crg
  PyTorch code for "Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training"
  ☆34Updated last year
• wusize / F-LMM
  [CVPR2025] Code Release of F-LMM: Grounding Frozen Large Multimodal Models
  ☆96Updated 3 weeks ago
• ExplainableML / flair
  [CVPR 2025] FLAIR: VLM with Fine-grained Language-informed Image Representations
  ☆81Updated 2 months ago
• kwonjunn01 / Hi-Mapper
  ☆12Updated 6 months ago
• mbzuai-oryx / VideoGLaMM
  [CVPR 2025 🔥]A Large Multimodal Model for Pixel-Level Visual Grounding in Videos
  ☆73Updated 2 months ago
• yongliu20 / SCAN
  [CVPR 2024] The repository contains the official implementation of "Open-Vocabulary Segmentation with Semantic-Assisted Calibration"
  ☆72Updated 9 months ago
• chunmeifeng / DiffTPT
  【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…
  ☆64Updated 5 months ago
• tripletclip / TripletCLIP
  [NeurIPS 2024] Official PyTorch implementation of "Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives"
  ☆41Updated 6 months ago
• mzhaoshuai / RLCF
  [ICLR 2024] Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models.
  ☆80Updated 11 months ago
• Show-han / Zeroshot_REC
  Official code for Zero-shot Referring Expression Comprehension via Structural Similarity Between Images and Captions (CVPR 2024)
  ☆25Updated last year
• BatsResearch / menghini-neurips23-code
  Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.
  ☆50Updated 7 months ago
• lizhou-cs / mglmm
  ☆31Updated 9 months ago
• visinf / adapter_plus
  Adapters Strike Back (CVPR 2024)
  ☆36Updated 11 months ago
• YCaigogogo / CODER
  ☆21Updated last year
• mc-lan / ProxyCLIP
  [ECCV2024] ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation
  ☆91Updated 3 months ago
• Lackel / AGLA
  [CVPR 2025] Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention
  ☆36Updated 11 months ago
• ytaek-oh / awesome-vl-compositionality
  Awesome Vision-Language Compositionality, a comprehensive curation of research papers in literature.
  ☆24Updated 4 months ago
• tiiuae / FineLIP
  code for FineLIP
  ☆26Updated 3 months ago
• SivanDoveh / IPLoc
  Repository for the paper: Teaching VLMs to Localize Specific Objects from In-context Examples
  ☆23Updated 7 months ago
• see-say-segment / sesame
  🔥 [CVPR 2024] Official implementation of "See, Say, and Segment: Teaching LMMs to Overcome False Premises (SESAME)"
  ☆41Updated last year