Alternatives and similar repositories for INQUIRE

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

• naver-ai / prolip
  ☆50Updated 2 months ago
• ChenDelong1999 / subobjects
  Official repository of paper "Subobject-level Image Tokenization"
  ☆70Updated last month
• TAU-VAILab / hierarcaps
  Code and data for the paper "Emergent Visual-Semantic Hierarchies in Image-Text Representations" (ECCV 2024)
  ☆28Updated 9 months ago
• sarahESL / AlignCLIP
  AlignCLIP: Improving Cross-Modal Alignment in CLIP (ICLR 2025)
  ☆39Updated 2 months ago
• Imageomics / INTR
  This is an official implementation for [ICLR'24] INTR: Interpretable Transformer for Fine-grained Image Classification.
  ☆49Updated last year
• layer6ai-labs / fusemix
  Data-Efficient Multimodal Fusion on a Single GPU
  ☆60Updated last year
• mbzuai-oryx / CVRR-Evaluation-Suite
  [CVPRW-25 MMFM] Official repository of paper titled "How Good is my Video LMM? Complex Video Reasoning and Robustness Evaluation Suite fo…
  ☆47Updated 8 months ago
• facebookresearch / maws
  Code and models for the paper "The effectiveness of MAE pre-pretraining for billion-scale pretraining" https://arxiv.org/abs/2303.13496
  ☆89Updated last month
• facebookresearch / meru
  Code for the paper "Hyperbolic Image-Text Representations", Desai et al, ICML 2023
  ☆164Updated last year
• WalBouss / GEM
  [CVPR24] Official Implementation of GEM (Grounding Everything Module)
  ☆121Updated last month
• google-research / silc
  [ECCV 2024] Official Release of SILC: Improving vision language pretraining with self-distillation
  ☆43Updated 7 months ago
• ninatu / howtocaption
  Official implementation of "HowToCaption: Prompting LLMs to Transform Video Annotations at Scale." ECCV 2024
  ☆53Updated 7 months ago
• cvl-umass / AdaptCLIPZS
  ☆39Updated 4 months ago
• omipan / camera_traps_self_supervised
  This repository contains the code for reproducing the results of our ICCV 2021 paper: "Focus on the Positives: Self-Supervised Learning f…
  ☆9Updated last year
• ExplainableML / WaffleCLIP
  Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…
  ☆57Updated last year
• ivonajdenkoska / tulip
  [ICLR 2025] Official code repository for "TULIP: Token-length Upgraded CLIP"
  ☆25Updated 3 months ago
• locuslab / FLYP
  Code for Finetune like you pretrain: Improved finetuning of zero-shot vision models
  ☆99Updated last year
• shashankvkt / DoRA_ICLR24
  This repo contains the official implementation of ICLR 2024 paper "Is ImageNet worth 1 video? Learning strong image encoders from 1 long …
  ☆88Updated last year
• visipedia / ssw60
  Sapsucker Woods 60 Audiovisual Dataset
  ☆15Updated 2 years ago
• WalBouss / LeGrad
  ☆65Updated 7 months ago
• RAIVNLab / CREPE
  [CVPR23 Highlight] CREPE: Can Vision-Language Foundation Models Reason Compositionally?
  ☆32Updated 2 years ago
• visual-haystacks / mirage
  🔥 [ICLR 2025] Official PyTorch Model "Visual Haystacks: A Vision-Centric Needle-In-A-Haystack Benchmark"
  ☆15Updated 3 months ago
• WalterSimoncini / fungivision
  Library implementation of "No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations"
  ☆36Updated 6 months ago
• AtsuMiyai / UPD
  Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models
  ☆76Updated 8 months ago
• wgcban / adamae
  [CVPR'23] AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders
  ☆79Updated last year
• tripletclip / TripletCLIP
  [NeurIPS 2024] Official PyTorch implementation of "Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives"
  ☆39Updated 5 months ago
• tulip-berkeley / open_clip
  An open source implementation of CLIP (With TULIP Support)
  ☆140Updated this week
• vinid / neg_clip
  NegCLIP.
  ☆31Updated 2 years ago
• arijitray1993 / COLA
  COLA: Evaluate how well your vision-language model can Compose Objects Localized with Attributes!
  ☆24Updated 5 months ago
• hammoudhasan / SynthCLIP
  Code base of SynthCLIP: CLIP training with purely synthetic text-image pairs from LLMs and TTIs.
  ☆99Updated last month