bobo-zz

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

OpenSTL

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

ChatGPT-Academic-Prompt

Use ChatGPT for academic writing

CBAM-keras

CBAM implementation on Keras

FFC

This is an official pytorch implementation of Fast Fourier Convolution.

SimVP-Simpler-yet-Better-Video-Prediction

The official implementation of the CVPR'2022 paper SimVP: Simpler Yet Better Video Prediction.

TensorFlow-Advanced-Segmentation-Models

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

meteonet

MeteoNet's toolbox and documentation

KernelWarehouse

The official project website of "KernelWarehouse: Rethinking the Design of Dynamic Convolution" (KW for short, accepted to ICML 2024)

DANet-keras

keras-Dual Attention Network for Scene Segmentation

NDDR-CNN

[CVPR2019] NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction

CMU-Net

[ISBI 2023] Official Pytorch implementation of "CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network"

spectral_representations_for_convolutional_neural_networks

MLCA

The codes of MLCA.

pyhail

Hail detection and size retrievals using Python3.5+ and the Py-ART toolkit

DWT-FFC

Official PyTorch implementation of dehazing method based on FFC and ConvNeXt, 1st place solution of NTIRE 2023 HR NonHomogeneous Dehazing Challenge (CVPR Workshop 2023).

VideoSwin

Keras Implementation of Video Swin Transformers for 3D Video Modeling

Convolution_Variants

Reimplementing SOTA convolution variants with Tensorflow 2.0.

Pytorch-Learning

Pytorch Framework learning for deeplearning

TransfomerDownscaling

This includes the code and data used in the paper "Investigating transformer-based models for downscaling near-surface temperature and wind speed".

DeepSaki

DeepSaki is an add-on to TensorFlow. It provides a variaty of custom classes ranging from activation functions to entire models, helper functions to facilitate connectiong to your, compute HW and many more!

Spiking-Neural-Network-Image-Restoration

Image restoration using spiking neural networks.

Remote-sensing-principle-and-application

科普总结遥感成像原理，数据处理以及实际应用！

SegPC2021

Multi-scale Regional Attention Deeplab3+: Multiple Myeloma Plasma Cells Segmentation in Microscopic Images

Temporal-Pooling-in-Inflated-3DCNN-for-Weakly-supervised-Video-Anomaly-Detection

Anomaly detection in surveillance videos requires significant attention in feature engineering to discriminate anomaly activity patterns from normal patterns. Keeping this in mind, this paper aims to extract superior quality spatio temporal features from Inflated 3DCNN followed by a temporal pooling strategy to intensify relevant spatio temporal feature in untrimmed anomalous videos. A superior temporal pooling strategy leads to better understanding of temporal dependency through LSTM model, which has become a necessary step for anomaly detection in surveillance videos. Thus, we propose a method consisting of an ideal temporal pooling strategy in inflated 3DCNN feature map along with LSTM model for temporal dependency encoding for weakly-supervised anomaly detection task. Our method is validated on a large scale video anomaly detection dataset, namely UCF-crime, resulting competitive performance in anomaly detection task with recent state-of-the-art methodologies.

TFFF

Time-frequency feature local fusion and global fusion

refined-unet-v3

3DCNN-LSTM

Driving code for 3DCNN-LSTM for radar

MFINEA

FREM-Dataset