Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

Easily compute clip embeddings and build a clip retrieval system with them

An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"

[ACM TOMM 2023] - Composed Image Retrieval using Contrastive Learning and Task-oriented CLIP-based Features

An official implementation for "X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text Retrieval"

CLIP-Finder enables semantic offline searches of images from gallery photos using natural language descriptions or the camera. Built on Apple's MobileCLIP-S0 architecture, it ensures optimal performance and accurate media retrieval.

[CVPR 2022 - Demo Track] - Effective conditioned and composed image retrieval combining CLIP-based features

Project page for the paper 'CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not'

Use CLIP to represent video for Retrieval Task

Evaluate custom and HuggingFace text-to-image/zero-shot-image-classification models like CLIP, SigLIP, DFN5B, and EVA-CLIP. Metrics include Zero-shot accuracy, Linear Probe, Image retrieval, and KNN accuracy.

Semantic Search demo featuring UForm, USearch, UCall, and StreamLit, to visual and retrieve from image datasets, similar to "CLIP Retrieval"

Implementation for "Multilevel Language and Vision Integration for Text-to-Clip Retrieval"

This project summarizes the CLIP-based cross-modal hashing methods. Including DCMHT, MITH, DSPH, DNPH, TwDH (Two-Step Discrete Hashing for Cross-Modal Retrieval), DIMCH(Cross-modal Hashing via Diverse Instances Matching), UMoED(A Unified Generative Hashing for Cross-Modal Retrieval).

该项目旨在通过输入文本描述来检索与之相匹配的图片。

Source codes of the paper "When CLIP meets Cross-modal Hashing Retrieval: A New Strong Baseline"

Image/Instance Retrieval using CLIP, A self supervised Learning Model

This project is an image retrieval system based on DINOv2 and CLIP models. It uses Chroma vector database to support both text-to-image and image-to-image retrieval.

A PyTorch implementation of ClipPrompt based on CVPR 2023 paper "CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not"

clip retrieval benchmark

[ICCV 2025] Official PyTorch Code for "Describe, Adapt and Combine: Empowering CLIP Encoders for Open-set 3D Object Retrieval"

A dead-simple image search / retrieval and image-text matching system for Bangla using CLIP

CLIP-based Fusion-modal Reconstructing Hashing for Unsupervised Large-scale Cross-modal Retrieval

Aggregate and Discriminate: Pseudo Clips-Guided Boundary Perception for Video Moment Retrieval

image retrieval/tagging with CLIP

Some notebooks for fine-tuning openai diffusion models on images from CLIP retrieval based on a prompt.

[SIGIR 2025] Class Activation Values: Lucid and Faithful Visual Interpretations for CLIP-based Text-Image Retrievals.

A Clip-Hitchiker's Guide to Long Video Retrieval [Arxiv 2022]

CLIP-based Adaptive Graph Attention Network for Large-Scale Unsupervised Multi-modal Hashing Retrieval

Putting CLIP and FAISS together with a Web demo for text based image retrieval

Chinese CLIP Models for Image-Text Retrieval