spatial-transformer-network 开源项目推荐（42 个）

kevinzakka /spatial-transformer-network

空间Transformer网络的TensorFlow实现。

WarBean /tps_stn_pytorch

使用薄板样条（TPS）的空间变换网络（STN）的 PyTorch 实现

RenYurui /Global-Flow-Local-Attention

The source code for paper "Deep Image Spatial Transformation for Person Image Generation"

daviddao /spatial-transformer-tensorflow

🐝Tensorflow Implementation of Spatial Transformer Networks

anilbas /3DMMasSTN

MatConvNet 实现，用于将三维可变模型（3DMM）集成到空间变换器网络（STN） 中

ddtm /deep-smile-warp

DeepWarp for Facial Expression Manipulation

42gas42 /CRNN-OCR-lite

Lightweight CRNN for OCR (including handwritten text) with depthwise separable convolutions and spatial transformer module [keras+tf]

sbillburg /CRNN-with-STN

implement CRNN in Keras with Spatial Transformer Network

AlexHex7 /Spatial-Transformer-Networks_pytorch

Spatial Transformer Networks. Refer to daviddao/spatial-transformer-tensorflow.

aarcosg /tsr-torch

Code for the paper entitled "Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods".

sayakpaul /Spatial-Transformer-Networks-with-Keras

This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.

wolfapple /traffic-sign-recognition

Built and trained a deep neural network to classify traffic signs, using PyTorch. The highlights of this solution would be data preprocessing, trained with heavily augmented data and using Spatial Transformer Network.

zsdonghao /Spatial-Transformer-Nets

Spatial Transformer Nets in TensorFlow/ TensorLayer

chengzhang /CRNN

CRNN(Convolutional Recurrent Neural Network), with optional STN(Spatial Transformer Network), in Tensorflow, multi-gpu supported.

verlab /DEAL_NeurIPS_2021

PyTorch implementation of the descriptor DEAL presented at NeurIPS 2021 "Extracting Deformation-Aware Local Features by Learning to Deform".

sagarverma /FashionRecommendationST-LSTM

Diversity in Fashion Recommendation Using Semantic Parsing

kvn219 /cluttered-mnist

Experiments on cluttered mnist dataset with Tensorflow.

ppriyank /Deep-neural-network-for-traffic-sign-recognition-systems

Pytorch Implementation of Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods

gorjanradevski /sr-bert

Codebase for "Decoding language spatial relations to 2D spatial arrangements" (Findings of EMNLP 2020).

bhavanajain /spatial-transformer-networks

Tensorflow models for Spatial Transformer Networks