Explorations into improving ViTArc with Slot Attention
-
Updated
Oct 19, 2024 - Python
#
slot-attention
Here are 9 public repositories matching this topic...
Slot-TTA shows that test-time adaptation using slot-centric models can improve image segmentation on out-of-distribution examples.
-
Updated
Jun 20, 2023 - Python
An implementation of several unsupervised object discovery models (Slot Attention, SLATE, GNM) in PyTorch with pre-trained models.
-
Updated
Apr 13, 2023 - Python
Reimplementation of Slot Attention (object discovery task) in PyTorch with converted checkpoint
-
Updated
May 2, 2021 - Python
[IJCNN 2024] Masked Multi-Query Slot Attention for Unsupervised Object Discovery, 2024 International Joint Conference on Neural Networks
-
Updated
Oct 24, 2024 - Python
Unofficial implementation of SAVi in PyTorch
-
Updated
Mar 1, 2023 - Python
Unsupervised object-centric learning models using Slot Attention in PyTorch.
deep-learning pytorch transformer generative-model autoencoder segmentation attention-mechanism variational-autoencoder object-centric slot-attention
-
Updated
May 28, 2022 - Python
Slot Attention-based Classifier for Explainable Image Recognition
deep-learning pytorch image-classification image-recognition attention-mechanism explainable-ai slot-attention
-
Updated
May 27, 2023 - Python
Simple Codebases for Benchmarking Object-Centric Architectures
-
Updated
May 25, 2023 - Python
Improve this page
Add a description, image, and links to the slot-attention topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the slot-attention topic, visit your repo's landing page and select "manage topics."