Alternatives and similar repositories for subobjects

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

• WalBouss / GEM
  [CVPR24] Official Implementation of GEM (Grounding Everything Module)
  ☆135Updated 9 months ago
• 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
• UX-Decoder / FIND
  [NeurIPS 2024] Official implementation of the paper "Interfacing Foundation Models' Embeddings"
  ☆129Updated last year
• wusize / F-LMM
  [CVPR2025] Code Release of F-LMM: Grounding Frozen Large Multimodal Models
  ☆109Updated 7 months ago
• TonyLianLong / CrossMAE
  Official Implementation of the CrossMAE paper: Rethinking Patch Dependence for Masked Autoencoders
  ☆129Updated 9 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.
  ☆30Updated last year
• callsys / ControlCap
  [ECCV 2024] ControlCap: Controllable Region-level Captioning
  ☆80Updated last year
• iancovert / locality-alignment
  ☆54Updated 11 months ago
• see-say-segment / sesame
  🔥 [CVPR 2024] Official implementation of "See, Say, and Segment: Teaching LMMs to Overcome False Premises (SESAME)"
  ☆46Updated last year
• hammoudhasan / SynthCLIP
  Code base of SynthCLIP: CLIP training with purely synthetic text-image pairs from LLMs and TTIs.
  ☆102Updated 9 months ago
• wuw2019 / LoTLIP
  [NeurIPS 2024] Official PyTorch implementation of LoTLIP: Improving Language-Image Pre-training for Long Text Understanding
  ☆47Updated last year
• Shengcao-Cao / groundLMM
  Emergent Visual Grounding in Large Multimodal Models Without Grounding Supervision
  ☆44Updated 2 months ago
• alinlab / ifseg
  IFSeg: Image-free Semantic Segmentation via Vision-Language Model (CVPR 2023)
  ☆95Updated 2 years ago
• baaivision / DenseFusion
  DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception
  ☆158Updated last year
• ant-research / DreamLIP
  [ECCV 2024] Official PyTorch implementation of DreamLIP: Language-Image Pre-training with Long Captions
  ☆136Updated 8 months ago
• isekai-portal / Link-Context-Learning
  ☆100Updated last year
• alhojel / visual_task_vectors
  ☆40Updated last year
• yibingwei-1 / LatentMIM
  [ECCV 2024] Official implementation of the paper "Towards Latent Masked Image Modeling for Self-Supervised Visual Representation Learning…
  ☆29Updated 10 months ago
• lizhou-cs / mglmm
  ☆32Updated last year
• dahyun-kang / lavg
  [ECCV'24] Official PyTorch implementation of In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic Segmentation
  ☆49Updated last year
• lambert-x / ProLab
  Official Pytorch Implementation of Paper "A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Des…
  ☆55Updated 4 months ago
• wjpoom / SPEC
  [CVPR 2024] The official implementation of paper "synthesize, diagnose, and optimize: towards fine-grained vision-language understanding"
  ☆50Updated 6 months ago
• TempleX98 / MoVA
  [NeurIPS 2024] MoVA: Adapting Mixture of Vision Experts to Multimodal Context
  ☆169Updated last year
• ExplainableML / flair
  [CVPR 2025] FLAIR: VLM with Fine-grained Language-informed Image Representations
  ☆129Updated 4 months ago
• mc-lan / ClearCLIP
  [ECCV2024] ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference
  ☆96Updated 9 months ago
• wangf3014 / SCLIP
  Official implementation of SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference
  ☆180Updated last year
• mbzuai-oryx / VideoGLaMM
  [CVPR 2025 🔥]A Large Multimodal Model for Pixel-Level Visual Grounding in Videos
  ☆94Updated 9 months ago
• Understanding-Visual-Datasets / VisDiff
  Official implementation of "Describing Differences in Image Sets with Natural Language" (CVPR 2024 Oral)
  ☆129Updated 2 months ago
• OpenGVLab / Mono-InternVL
  [CVPR 2025] Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training
  ☆98Updated 5 months ago
• haochenheheda / LVVIS
  Large-Vocabulary Video Instance Segmentation dataset
  ☆95Updated last year