🛰️ Official repository of paper "RemoteCLIP: A Vision Language Foundation Model for Remote Sensing" (IEEE TGRS)
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Jun 27, 2024 - Jupyter Notebook
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contrastive-language-image-pretraining
Here are 14 public repositories matching this topic...
An extremely simple method for validation-free efficient adaptation of CLIP-like VLMs that is robust to the learning rate.
few-shot-classifcation open-classification test-time-adaptation contrastive-language-image-pretraining vision-language-model parameter-efficient-fine-tuning
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Apr 17, 2025 - Shell
[ICLR2025] Detecting Backdoor Samples in Contrastive Language Image Pretraining
deep-learning backdoor detection deep pytorch safety outlier-detection clip backdoors iclr backdoor-attacks poisoning-attack contrastive-learning backdoor-attack contrastive-language-image-pretraining poisoning-defenses iclr2025
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Feb 26, 2025 - Jupyter Notebook
Use CLIP to create matching texts + embeddings for given images; useful for XAI, adversarial training
embeddings clip gradient-ascent adversarial-examples adversarial-attacks text-image text-embeddings contrastive-language-image-pretraining typographic-attack
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Dec 9, 2024 - Python
Simple data and training pipeline for class-incremental method 😄
image-classification efficientnet class-incremental-learning contrastive-language-image-pretraining segment-anything class-incremental
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Nov 17, 2023 - Jupyter Notebook
RadCLIP is a foundation model for radiologic imaging that leverages a Vision–Language Pre-training (VLP) framework to align 2D/3D radiologic images with their textual descriptions, improving diagnostic accuracy and efficiency in clinical workflows.
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May 30, 2025 - Jupyter Notebook
Theory, Experiments, and Dataset for our newly proposed Deep Learning method for LLM-driven Cycle Consistency and Semantics Aware Self-Supervised Framework for Unpaired LDR ↔ HDR Image Translation
machine-learning computer-vision deep-learning computer-graphics semantic-segmentation computational-photography cyclegan image-enhancement self-supervised-learning cycle-consistency semantic-consistency high-dynamic-range-imaging contrastive-language-image-pretraining
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Apr 9, 2025
This application fine-tunes the CLIP model on the Flickr8k dataset to align image and text embeddings for image-caption matching. The goal is to enhance multimodal understanding and retrieval performance using a custom captioning dataset.
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May 20, 2025 - Python
CLIP-interrogator InvokeAI node
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Dec 12, 2023 - Python
Visual and Vision-Language Representation Pre-Training with Contrastive Learning
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Feb 19, 2023 - Jupyter Notebook
Attempts to improve CLIP via different optimizers and loss functions
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Dec 21, 2024 - Jupyter Notebook
PLoP applied to CLIP
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Jun 27, 2025 - Python
Train a vision language model from scratch used for chart interpretation in data analysis
transformer vit clip vlm pretraining contrastive-learning vision-transformer contrastive-language-image-pretraining vision-language-model siglip
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Jun 3, 2025 - Python
University project based on implementing a Test Time Adaptation (TTA) solution for image classifiers. University of Trento (Italy)
deep-learning test-time-adaptation prompt-engineering contrastive-language-image-pretraining image-augm
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Oct 4, 2024 - Jupyter Notebook
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