ICCV 2023 25 Papers
DmitryRyumin
ICCV 2023-2025 Papers: Discover cutting-edge research from ICCV 2023-25, the leading computer vision conference. Stay updated on the latest in computer vision and deep l…
OPENAGENTSKILL / DIRECTORY
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Results: 105
DmitryRyumin
ICCV 2023-2025 Papers: Discover cutting-edge research from ICCV 2023-25, the leading computer vision conference. Stay updated on the latest in computer vision and deep l…
Official code for CVPR 2022 (Oral) paper "Deep Visual Geo-localization Benchmark"
dcmlr
Source code for the article "GroundGrid: LiDAR Point Cloud Ground Segmentation and Terrain Estimation"
Ikomia-dev
Deploy Computer Vision solutions with a few lines of code.
Rishabh-creator601
Books / PDFS / EPUBS for different fields of programming . READ GROW AND ENJOY 😊😊😊😊
vvincenttttt
Papers, code and datasets about deep learning for 3D Object Detection.
MMMU-Benchmark
This repo contains evaluation code for the paper "MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI"
Jackhammer9
Write Arduino code in pure Python. Reduino transpiles Python scripts into efficient Arduino C++ and uploads automatically. A simple, intuitive way to control sensors, LE…
neurobionics
An open-source SDK for developing and testing algorithms on commonly used robotic hardware.
arpitg1304
Foundational software design principles applied specifically to robotics module development. Use this skill when designing robot software modules, structuring codebases,…
devendrachaplot
Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"
Cloud-Architects
The tool to help you discover resources in the cloud environment
yiranran
Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)
SalvatoreRa
Tutorials on machine learning, artificial intelligence, data science with math explanation and reusable code (in python and R)
aaedmusa
Robotic actuator test stand utilizing a Capstan Drive reducer
zeyofu
This repo contains evaluation code for the paper "BLINK: Multimodal Large Language Models Can See but Not Perceive". https://arxiv.org/abs/2404.12390 [ECCV 2024]