LIP
Image pooling library
Implementations of Local Importance-based Pooling (LIP) in PyTorch for image classification tasks.
Code and pretrained models for LIP: Local Importance-based Pooling (ICCV 19)
220 stars
12 watching
28 forks
Language: Python
last commit: about 3 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
foamliu/deep-image-matting-pytorch | An implementation of deep image matting in PyTorch using a neural network architecture. | 817 |
felixgwu/img_classification_pk_pytorch | A PyTorch project for comparing image classification models and facilitating quick experiment setup | 365 |
bes-dev/mpl.pytorch | A PyTorch implementation of a loss function used in semantic image segmentation | 175 |
jhoon-oh/fedbabu | An implementation of federated learning for image classification tasks | 51 |
pp00704831/banet-tip-2022 | A PyTorch implementation of an attention network for dynamic scene deblurring | 37 |
yinboc/liif | This project presents an approach to learning continuous image representation using a local implicit function. | 1,271 |
openseg-group/openseg.pytorch | Provides a PyTorch implementation of several computer vision tasks including object detection, segmentation and parsing. | 1,190 |
hszhao/semseg | A PyTorch implementation of semantic segmentation models with support for multiprocessing training and various backbones. | 1,343 |
lucasjinreal/pytorch_image_classifier | An image classification system built using PyTorch, capable of fine-tuning on various models and datasets. | 113 |
gdlg/pytorch_compact_bilinear_pooling | Provides an implementation of Compact Bilinear Pooling using PyTorch | 252 |
ruotianluo/self-critical.pytorch | An implementation of Self-critical Sequence Training for Image Captioning and related techniques. | 997 |
ben-louis/deep-image-analogy-pytorch | A Python implementation of an image analogy algorithm based on PyTorch. | 181 |
huochaitiantang/pytorch-deep-image-matting | Deep learning implementation of image matting, aiming to separate foreground and background from input images. | 293 |
kaiyangzhou/dassl.pytorch | A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,217 |
tugstugi/pytorch-saltnet | A PyTorch implementation of a U-Net model for image segmentation tasks | 278 |