CLIP-Mamba: CLIP Pretrained Mamba Models with OOD and Hessian Evaluation

Cobra: Extending Mamba to Multi-modal Large Language Model for Efficient Inference

FusionMamba: Dynamic Feature Enhancement for Multimodal Image Fusion with Mamba

Python implementation of Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation

The repo of paper `RoboMamba: Multimodal State Space Model for Efficient Robot Reasoning and Manipulation`

PointMamba: A Simple State Space Model for Point Cloud Analysis

[ACM MM 2024] Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model

😎 up-to-date & curated list of awesome 3D Visual Grounding papers, methods & resources.

Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation (CVPR 2024)

Find What You Want: Learning Demand-conditioned Object Attribute Space for Demand-driven Navigation

ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021

[CVPR 2024] Official PyTorch Code for "PromptKD: Unsupervised Prompt Distillation for Vision-Language Models"

[ICLR 2024 Oral] Less is More: Fewer Interpretable Region via Submodular Subset Selection

RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation

OvarNet official implement of the paper "OvarNet: Towards Open-vocabulary Object Attribute Recognition"

[CVPR2024 Highlight]GLEE: General Object Foundation Model for Images and Videos at Scale

OVAD: Open-vocabulary Attribute Detection code

This the official repository of OCL (ICCV 2023).

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）