Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models
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Updated
May 28, 2024 - Python
Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models
[ICML2024] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation
Recent advancements propelled by large language models (LLMs), encompassing an array of domains including Vision, Audio, Agent, Robotics, and Fundamental Sciences such as Mathematics.
Fast and accurate open-vocabulary end-to-end object detection
[CVPR 2024] Visual Programming for Zero-shot Open-Vocabulary 3D Visual Grounding
Code and pre-trained models for our paper "CLIPping the Deception: Adapting Vision-Language Models for Universal Deepfake Detection".
日本語LLMまとめ - Overview of Japanese LLMs
LAVIS - A One-stop Library for Language-Vision Intelligence
CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
A curated list of awesome vision and language resources for earth observation.
This repo contains evaluation code for the paper "BLINK: Multimodal Large Language Models Can See but Not Perceive". https://arxiv.org/abs/2404.12390
This is the official repository for the paper "OpenFashionCLIP: Vision-and-Language Contrastive Learning with Open-Source Fashion Data". ICIAP 2023
A curated list of various topics related to development for the open source community⚡️
FACTUAL benchmark dataset, the pre-trained textual scene graph parser trained on FACTUAL.
A Comprehensive Evaluation Benchmark for Open-Vocabulary Detection (AAAI 2024)
HPT - Open Multimodal LLMs from HyperGAI
Official Implementation of "GiT: Towards Generalist Vision Transformer through Universal Language Interface"
An end-to-end vision and language model incorporating explicit knowledge graphs and OOD-detection.
A curated list for vision-and-language navigation. ACL 2022 paper "Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions"
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