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GitHub - openai/CLIP: CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
GitHub - openai/CLIP: CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Niels Rogge on X: "The model simply adds bounding box and class heads to the vision encoder of CLIP, and is fine-tuned using DETR's clever matching loss. 🔥 📃 Docs: https://t.co/fm2zxNU7Jn 🖼️Gradio
Niels Rogge on X: "The model simply adds bounding box and class heads to the vision encoder of CLIP, and is fine-tuned using DETR's clever matching loss. 🔥 📃 Docs: https://t.co/fm2zxNU7Jn 🖼️Gradio

CLIP Explained | Papers With Code
CLIP Explained | Papers With Code

CLIP-ReID: Exploiting Vision-Language Model for Image Re-Identification without Concrete Text Labels | Papers With Code
CLIP-ReID: Exploiting Vision-Language Model for Image Re-Identification without Concrete Text Labels | Papers With Code

Multimodal Image-text Classification
Multimodal Image-text Classification

Image Generation Based on Abstract Concepts Using CLIP + BigGAN | big-sleep-test – Weights & Biases
Image Generation Based on Abstract Concepts Using CLIP + BigGAN | big-sleep-test – Weights & Biases

Vision Transformers: From Idea to Applications (Part Four)
Vision Transformers: From Idea to Applications (Part Four)

CLIP - Keras Code Examples - YouTube
CLIP - Keras Code Examples - YouTube

TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks | Humam Alwassel
TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks | Humam Alwassel

CLIP: The Most Influential AI Model From OpenAI — And How To Use It | by Nikos Kafritsas | Towards Data Science
CLIP: The Most Influential AI Model From OpenAI — And How To Use It | by Nikos Kafritsas | Towards Data Science

A Simple Way of Improving Zero-Shot CLIP Performance | by Alexey Kravets | Nov, 2023 | Towards Data Science
A Simple Way of Improving Zero-Shot CLIP Performance | by Alexey Kravets | Nov, 2023 | Towards Data Science

PDF] CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation | Semantic Scholar
PDF] CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation | Semantic Scholar

CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory
CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory

CLIP: Creating Image Classifiers Without Data | by Lihi Gur Arie, PhD | Towards Data Science
CLIP: Creating Image Classifiers Without Data | by Lihi Gur Arie, PhD | Towards Data Science

CLIP consists of a visual encoder V, a text encoder T, and a dot... | Download Scientific Diagram
CLIP consists of a visual encoder V, a text encoder T, and a dot... | Download Scientific Diagram

OpenAI's CLIP Explained and Implementation | Contrastive Learning | Self-Supervised Learning - YouTube
OpenAI's CLIP Explained and Implementation | Contrastive Learning | Self-Supervised Learning - YouTube

Hierarchical Text-Conditional Image Generation with CLIP Latents – arXiv Vanity
Hierarchical Text-Conditional Image Generation with CLIP Latents – arXiv Vanity

Fine tuning CLIP with Remote Sensing (Satellite) images and captions
Fine tuning CLIP with Remote Sensing (Satellite) images and captions

The Annotated CLIP (Part-2)
The Annotated CLIP (Part-2)

Frozen CLIP Models are Efficient Video Learners | Papers With Code
Frozen CLIP Models are Efficient Video Learners | Papers With Code

Overview of our method. The image is encoded into a feature map by the... | Download Scientific Diagram
Overview of our method. The image is encoded into a feature map by the... | Download Scientific Diagram

Model architecture. Top: CLIP pretraining, Middle: text to image... | Download Scientific Diagram
Model architecture. Top: CLIP pretraining, Middle: text to image... | Download Scientific Diagram

Understanding OpenAI CLIP & Its Applications | by Anshu Kumar | Medium
Understanding OpenAI CLIP & Its Applications | by Anshu Kumar | Medium

Overview of VT-CLIP where text encoder and visual encoder refers to the... | Download Scientific Diagram
Overview of VT-CLIP where text encoder and visual encoder refers to the... | Download Scientific Diagram

Explaining the code of the popular text-to-image algorithm (VQGAN+CLIP in PyTorch) | by Alexa Steinbrück | Medium
Explaining the code of the popular text-to-image algorithm (VQGAN+CLIP in PyTorch) | by Alexa Steinbrück | Medium