Stars
Hyperbolic Image Segmentation, CVPR 2022
Code for the paper "Hyperbolic Image-Text Representations", Desai et al, ICML 2023
PyTorch Implementation for Hyperbolic Fine-tuning for LLMs
We introduce a novel approach for parameter generation, named neural network parameter diffusion (p-diff), which employs a standard latent diffusion model to synthesize a new set of parameters
source code of (quasi-)Givens Orthogonal Fine Tuning integrated to peft lib
Official PyTorch implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States
Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.
The Paper List of Large Multi-Modality Model, Parameter-Efficient Finetuning, Vision-Language Pretraining, Conventional Image-Text Matching for Preliminary Insight.
[ICML 2024] Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning
MambaOut: Do We Really Need Mamba for Vision?
the official repository for CVPR 2024 paper "One-Prompt to Segment All Medical Images"
Official Implementation of "CAT-Seg🐱: Cost Aggregation for Open-Vocabulary Semantic Segmentation"
The official code for the paper "S2Mamba: A Spatial-spectral State Space Model for Hyperspectral Image Classification" The code will be available soon.
[CVPR2024] Official Pytorch Implementation of SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation.
deep learning for image processing including classification and object-detection etc.
[ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass
An implementation of "Retentive Network: A Successor to Transformer for Large Language Models"