Alternatives and similar repositories for fsc-clip

Users that are interested in fsc-clip are comparing it to the libraries listed below

• haoyu-bu / CAFe
  Code for "CAFe: Unifying Representation and Generation with Contrastive-Autoregressive Finetuning"
  ☆24Updated 6 months ago
• CeeZh / SILVR
  Official Implementation for "SiLVR : A Simple Language-based Video Reasoning Framework"
  ☆18Updated last month
• adobe-research / llava-score
  ☆11Updated last year
• kwonjunn01 / Hi-Mapper
  ☆15Updated 10 months ago
• sterzhang / PVIT
  Official Repository of Personalized Visual Instruct Tuning
  ☆32Updated 7 months ago
• tripletclip / TripletCLIP
  [NeurIPS 2024] Official PyTorch implementation of "Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives"
  ☆44Updated 10 months ago
• Aurora-slz / MM-Verify
  ☆14Updated 7 months ago
• LunarShen / DsicoVLA
  [CVPR 2025] DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval
  ☆20Updated 3 months ago
• LaVi-Lab / Visual-Table
  [EMNLP 2024] Official code for "Beyond Embeddings: The Promise of Visual Table in Multi-Modal Models"
  ☆20Updated 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.
  ☆29Updated last year
• showlab / MovieSeq
  [ECCV 2024] Learning Video Context as Interleaved Multimodal Sequences
  ☆40Updated 7 months ago
• JaaackHongggg / WorldSense
  WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs
  ☆30Updated last week
• TAU-VAILab / hierarcaps
  Code and data for the paper "Emergent Visual-Semantic Hierarchies in Image-Text Representations" (ECCV 2024)
  ☆30Updated last year
• see-say-segment / sesame
  🔥 [CVPR 2024] Official implementation of "See, Say, and Segment: Teaching LMMs to Overcome False Premises (SESAME)"
  ☆43Updated last year
• ytaek-oh / vl_compo
  ☆10Updated last year
• NMS05 / Patch-Aligned-Contrastive-Learning
  ☆23Updated 2 years ago
• lxa9867 / QSD
  [CVPR 2024] "Towards Robust Audiovisual Segmentation in Complex Environments with Quantization-based Semantic Decomposition"
  ☆13Updated last year
• mlvlab / VidChain
  Official Implementation (Pytorch) of the "VidChain: Chain-of-Tasks with Metric-based Direct Preference Optimization for Dense Video Capti…
  ☆22Updated 8 months ago
• wuw2019 / LoTLIP
  [NeurIPS 2024] Official PyTorch implementation of LoTLIP: Improving Language-Image Pre-training for Long Text Understanding
  ☆45Updated 8 months ago
• Shengcao-Cao / groundLMM
  Emerging Pixel Grounding in Large Multimodal Models Without Grounding Supervision
  ☆40Updated 6 months ago
• Andy-Cheng / TEMPURA
  TEMPURA enables video-language models to reason about causal event relationships and generate fine-grained, timestamped descriptions of u…
  ☆22Updated 4 months ago
• jiaangli / VLCA
  Do Vision and Language Models Share Concepts? A Vector Space Alignment Study
  ☆16Updated 10 months ago
• Dongping-Chen / ISG
  (ICLR 2025 Spotlight) Official code repository for Interleaved Scene Graph.
  ☆28Updated 2 months ago
• daeunni / Video-Skill-CoT
  Code for "Skill-based Chain-of-Thoughts for Domain-Adaptive Video Reasoning [EMNLP 2025 Finding]"
  ☆15Updated last month
• snumprlab / isr-dpo
  Official Implementation of ISR-DPO:Aligning Large Multimodal Models for Videos by Iterative Self-Retrospective DPO (AAAI'25)
  ☆24Updated 7 months ago
• ExplainableML / cosmos
  [CVPR 2025] COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training
  ☆31Updated 6 months ago
• Yui010206 / CREMA
  [ICLR 2025] CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular Fusion
  ☆52Updated 3 months ago
• linzhiqiu / visual_gpt_score
  VisualGPTScore for visio-linguistic reasoning
  ☆27Updated 2 years ago
• SivanDoveh / IPLoc
  Repository for the paper: Teaching VLMs to Localize Specific Objects from In-context Examples
  ☆29Updated 10 months ago
• rui-qian / READ
  Rui Qian, Xin Yin, Dejing Dou†: Reasoning to Attend: Try to Understand How <SEG> Token Works (CVPR 2025)
  ☆44Updated last week