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GroupViT
x-clip | GroupViT | |
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1 | 1 | |
702 | 735 | |
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5.8 | 0.0 | |
over 1 year ago | over 2 years ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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[D] Problems with proprietary datasets
Now is it possible that some of these images were a part of train set of these models ? Maybe, but we can't really be sure without having access to the original dataset. To this end, are there any works that study this phenomenon more deeply and technically (with metrics etc.) ? I know few attempts to reproduce DALL-E and CLIP on open datasets but not sure whether such studies have been performed. Unfortunately I lack both the resources as well as technical competency to perform such studies myself but would love to see if you folks know anything about this.
GroupViT
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[R][P] GroupViT: Semantic Segmentation Emerges from Text Supervision + Hugging Face Gradio Web Demo
github: https://github.com/NVlabs/GroupViT
What are some alternatives?
CapDec - CapDec: SOTA Zero Shot Image Captioning Using CLIP and GPT2, EMNLP 2022 (findings)
CoCa-pytorch - Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch
bonito - A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.
VehicleFinder-CTIM
EfficientFormer - EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]
DALLE2-pytorch - Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
Text-to-Image-Synthesis - Pytorch implementation of Generative Adversarial Text-to-Image Synthesis paper
IPViT - Official repository for "Intriguing Properties of Vision Transformers" (NeurIPS 2021--Spotlight)
cycle-diffusion - [ICCV 2023] A latent space for stochastic diffusion models
nncf - Neural Network Compression Framework for enhanced OpenVINO™ inference