CBAM
Attention module
A deep learning project that develops and tests a novel attention mechanism called CBAM for image classification tasks.
CBAM: Convolutional Block Attention Module for CIFAR10 on ResNet backbone with Pytorch
104 stars
3 watching
31 forks
Language: Python
last commit: about 5 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
kobiso/cbam-keras | A repository implementing a Keras-based architecture for improving neural network representation power with attention mechanisms and squeeze-and-excitation networks. | 361 |
luuuyi/cbam.pytorch | PyTorch implementation of the CBAM module for refining feature maps in deep networks | 1,337 |
jongchan/attention-module | Provides implementations of attention modules for computer vision tasks using PyTorch | 2,061 |
huyz1117/bam | An implementation of the Bottleneck Attention Module in TensorFlow using attention mechanism | 12 |
pistony/residualattentionnetwork | A Gluon implementation of Residual Attention Network for image classification tasks | 107 |
ngxbac/gain | A PyTorch implementation of an attention-guided inference network to focus on specific areas of objects in images | 48 |
koichiro11/residual-attention-network | An image classification neural network implementation using attention mechanisms and residual learning | 94 |
jnhwkim/cbp | An implementation of a pooling technique for multimodal neural networks in Torch7 | 68 |
elpapi42/deepbay | A library that provides pre-configured, reusable neural network building blocks for easy integration into other projects. | 4 |
benedekrozemberczki/gam | An implementation of a graph classification model using structural attention and PyTorch | 268 |
hszhao/psanet | A deep learning framework for semantic segmentation with spatial attention mechanisms | 216 |
tengshaofeng/residualattentionnetwork-pytorch | Implementing a deep learning framework for image classification using Residual Attention Network architecture | 680 |
cambrian-mllm/cambrian | An open-source multimodal LLM project with a vision-centric design | 1,759 |
lancopku/iais | This project proposes a novel method for calibrating attention distributions in multimodal models to improve contextualized representations of image-text pairs. | 30 |
ailab-cvc/seed | An implementation of a multimodal language model with capabilities for comprehension and generation | 576 |