This is an LWIR stereo-hyperspectral database to develop HADAR algorithms for thermal navigation. Based on this database, one can develop algorithms for TeX decomposition to generate TeX vision. On…

A latent text-to-image diffusion model

High-Resolution Image Synthesis with Latent Diffusion Models

[ICCV 2023] Official implementation for "Label-Guided Knowledge Distillation for Continual Semantic Segmentation on 2D Images and 3D Point Clouds".

Official code for Modeling the Background for Incremental Learning in Semantic Segmentation https://arxiv.org/abs/2002.00718

Code for the paper "Incremental Learning Techniques for Semantic Segmentation", Michieli U. and Zanuttigh P., ICCVW, 2019

An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning

A curated list of awesome resources for camouflaged/concealed object detection (COD).

[CVPR 2023] CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model

[IEEE TGRS 2024] ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model

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

[CVPR 2023] Official repository of paper titled "MaPLe: Multi-modal Prompt Learning".

The efficient tuning method for VLMs

CVPR2022 - Deep Hierarchical Semantic Segmentation - A structured, pixel-wise description of visual scenes in terms of the class hierarchy.

PyTorch code and models for the DINOv2 self-supervised learning method.

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Broad Area Satellite Imagery Semantic Segmentation

CosmiQ Works Geospatial Machine Learning Analysis Toolkit

Open source deep learning based fine-grained image recognition toolbox built on PyTorch🔥

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

Worldwide building footprints derived from satellite imagery

Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase of "A continual learning survey: Defying forgetting in classi…

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…

Code and Dataset for CVPR2020 "Dynamic Refinement Network for Oriented and Densely Packed Object Detection"

Algorithmic baseline for SpaceNet 8 Challenge

IJCAI 2021, "Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation"