Deep learning topic
Deep learning is a subset of machine learning that uses artificial neural networks with multiple layers to automatically learn hierarchical representations from data. It powers modern breakthroughs in computer vision, natural language processing, speech recognition, and generative AI.
XMem
[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
ivy
The Unified AI Framework
CascadePSP
[CVPR 2020] CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement
Mask-Propagation
[CVPR 2021] MiVOS - Mask Propagation module. Reproduced STM (and better) with training code :star2:. Semi-supervised video object segmentation evaluation.
MiVOS
[CVPR 2021] Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion. Semi-supervised VOS as well!
gym
Fully differentiable RL environments, written in Ivy.
mech
Mechanics functions with end-to-end support for deep learning developers, written in Ivy.
robot
Functions and classes for gradient-based robot motion planning, written in Ivy.
vision
3D Vision functions with end-to-end support for deep learning developers, written in Ivy.
AL-MDN
Official pytorch implementation of Active Learning for deep object detection via probabilistic modeling (ICCV 2021)