This is an implementation of very deep two stream CNNs for action recognition. The implementation is inspired by Wang et. al., https://github.com/yjxiong/caffe. Some improvements from Wang's implementation include reading videos from LDMB database, faster testing using LDMB interface. The aim is to work better with big dataset such as UCF101, HM…
☆22Jan 9, 2018Updated 8 years ago
Alternatives and similar repositories for my-very-deep-caffe
Users that are interested in my-very-deep-caffe are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The repository to contain codes and models for paper "Two-stream Flow-guided Convolutional Attention Networks for Action Recognition".☆22Feb 4, 2018Updated 8 years ago
- UCF Sports annotations: This repository provides human bounding box annotations of UCF Sports dataset and a function to read these annota…☆14May 22, 2015Updated 11 years ago
- Comparisons between available optical flow implementations using MATLAB.☆31Oct 24, 2015Updated 10 years ago
- Neural Network Models for Multi-label learning☆16Oct 13, 2020Updated 5 years ago
- This is my attempt at the ActivityNet Challenge 2017. Thanks to the organizers for providing the boilerplate code and annotated datasets.…☆10Jul 19, 2017Updated 9 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- CI/CD toolkits for mobile apps☆12Dec 23, 2024Updated last year
- Preprocess the activityNet dataset for detection task☆13Mar 3, 2017Updated 9 years ago
- Code for "Predictive-Corrective Networks for Action Detection"☆16Nov 29, 2017Updated 8 years ago
- Video-friendly caffe -- comes with the most recent version of Caffe (as of Jan 2019), a video reader, 3D(ND) pooling layer, and an exampl…☆176Sep 6, 2026Updated 3 weeks ago
- Multilabel image classification with softmax by python and tensorflow☆13Sep 9, 2018Updated 8 years ago
- Convolutional Neural Net and Recurrent Neural Net in Tensorflow for satellite images multi-label classification☆15Oct 21, 2017Updated 8 years ago
- Caffe with unpooling layers and example usage.☆18Feb 20, 2017Updated 9 years ago
- caffe源码解读☆26May 22, 2019Updated 7 years ago
- A Caffe/C++ implementation of Deep Deterministic Policy Gradient☆10Feb 1, 2019Updated 7 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Scraping the wiki pages and find the minimum number of links between two wiki pages☆10Dec 8, 2022Updated 3 years ago
- KL-loss☆10Oct 14, 2019Updated 6 years ago
- 训练速度比原始caffe-ssd提升4~6倍☆10Jun 22, 2021Updated 5 years ago
- Caffe implementation for "Guided Optical Flow Learning"☆33Aug 3, 2017Updated 9 years ago
- The matlab code of Sparse Contextual Activation (SCA) published in TIP 2016☆10Mar 18, 2018Updated 8 years ago
- ☆12Jan 29, 2019Updated 7 years ago
- The Sky's the Limit: Relightable Outdoor Scenes via a Sky-pixel Constrained Illumination Prior and Outside-In Visibility☆22Sep 3, 2026Updated 3 weeks ago
- a branc caffe with feature of Data Augmentation using a configurable stochastic combination of 7 data augmentation techniques.☆34Jul 27, 2015Updated 11 years ago
- Train CNN for Pascal VOC 2007 Multi label Image classification☆39Oct 17, 2017Updated 8 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆29Jul 9, 2016Updated 10 years ago
- A collection of Aeron demos☆10Nov 5, 2023Updated 2 years ago
- a vs2017 C++ demo of deep neural networks. It is implemented purely in C++, only depends on Eigen lib.☆10May 22, 2021Updated 5 years ago
- caffe train face licenseplate reID action ocr centernet☆23Sep 22, 2020Updated 6 years ago
- The MultiBoost package is a multi-class / multi-label / multi-task classification boosting software implemented in C++.☆27Jun 12, 2013Updated 13 years ago
- ZCA whitening in python☆33Sep 2, 2019Updated 7 years ago
- FIX library for crystal☆15Feb 5, 2019Updated 7 years ago
- Image data augmentation util for Caffe☆10Nov 26, 2016Updated 9 years ago
- ☆15Mar 10, 2026Updated 6 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A recommendation application using either item-based or user-based approaches☆13Dec 31, 2023Updated 2 years ago
- Fine-tune Inception v3 for muli-label classification on HICO dataset in TensorFlow☆24Oct 4, 2017Updated 8 years ago
- add CTCLoss, CTCDecoder, Transpose and ProposalLayer (CPU and GPU version)☆15Jan 8, 2017Updated 9 years ago
- Method for large-scale multi-label classification☆23Mar 7, 2019Updated 7 years ago
- triton ver of gqa flash attn, based on the tutorial☆12Aug 4, 2024Updated 2 years ago
- Weakly Supervised Mitosis Detection in Breast Histopathology Images using Concentric Loss☆25Nov 14, 2019Updated 6 years ago
- Python library for analyzing data quality and its impact on model performance across classification and object-detection tasks.☆19Updated this week