Implementation of the "Learn No to Say Yes Better" paper.
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Updated
Nov 2, 2024 - Python
Implementation of the "Learn No to Say Yes Better" paper.
[TIP2024] The code of "GSSF: Generalized Structural Sparse Function for Deep Cross-modal Metric Learning"
A simple open-sourced SigLIP model finetuned on Genshin Impact's image-text pairs.
Code implementation of paper "SEMScene: Semantic-Consistency Enhanced Multi-Level Scene Graph Matching for Image-Text Retrieval" (ACM TOMM 2024).
Noise of Web (NoW) is a challenging noisy correspondence learning (NCL) benchmark containing 100K image-text pairs for robust image-text matching/retrieval models.
[ICML 2024] Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models
Official implementation and dataset for the NAACL 2024 paper "ComCLIP: Training-Free Compositional Image and Text Matching"
CLIP (Contrastive Language–Image Pre-training) for Bangla.
The Paper List of Large Multi-Modality Model, Parameter-Efficient Finetuning, Vision-Language Pretraining, Conventional Image-Text Matching for Preliminary Insight.
Easy wrapper for inserting LoRA layers in CLIP.
[TIP2024] The code of “Deep Boosting Learning: A Brand-new Cooperative Approach for Image-Text Matching”
The Unified Code of Image-Text Retrieval for Further Exploration.
[TIP2023] The code of “Plug-and-Play Regulators for Image-Text Matching”
[AAAI2021] The code of “Similarity Reasoning and Filtration for Image-Text Matching”
Offline semantic Text-to-Image and Image-to-Image search on Android powered by quantized state-of-the-art vision-language pretrained CLIP model and ONNX Runtime inference engine
Extended COCO Validation (ECCV) Caption dataset (ECCV 2022)
Text Query based Traffic Video Event Retrieval with Global-Local Fusion Embedding
BSs Graduation Project implementation [Image-Text Matching]
A dead-simple image search and image-text matching system for Bangla using CLIP
Code for "Learning the Best Pooling Strategy for Visual Semantic Embedding", CVPR 2021 (Oral)
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