auduno / deepdraw
Notebook example of how to generate class visualizations with Caffe
☆358Updated 8 years ago
Alternatives and similar repositories for deepdraw:
Users that are interested in deepdraw are comparing it to the libraries listed below
- Action recognition using soft attention based deep recurrent neural networks☆350Updated 8 years ago
- R*CNN☆131Updated 7 years ago
- Segment-CNN: A Framework for Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs☆239Updated 6 years ago
- Video Classification using 2 stream CNN☆311Updated 6 years ago
- Clockwork Convnets for Video Semantic Segmenation☆141Updated 8 years ago
- code for CUImage and CUVideo☆181Updated 7 years ago
- Lisa Anne's public caffe code.☆219Updated 7 years ago
- Tools to participate in the ActivityNet Challenge 2016 (NIPSW 2016)☆194Updated 7 years ago
- A fork of Caffe with OpenMPI-based Multi-GPU (mainly data parallel) support for action recognition and more. More documentation please se…☆552Updated 6 years ago
- Spatial Transformer network☆189Updated 9 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…☆174Updated 6 years ago
- Action Recognition Toolbox for CUHKÐZ&SIAT submission to ActivityNet 2016☆251Updated 6 years ago
- ☆181Updated 8 years ago
- ☆206Updated 2 years ago
- ImageNet 2015 Object Detection from Video (VID)☆369Updated 7 years ago
- Unsupervised Learning using Videos (ICCV 2015)☆175Updated 7 years ago
- Trajectory-pooled Deep-Convolutional Descriptors☆104Updated 7 years ago
- automatic video description generation with GPU training☆258Updated 5 years ago
- Deformable Convolutional Networks + MST + Soft-NMS☆234Updated 7 years ago
- Video detection library☆183Updated 8 years ago
- One-Shot Video Object Segmentation☆171Updated 6 years ago
- [CVPR 2017] Unsupervised deep learning using unlabelled videos on the web☆259Updated 5 years ago
- Code release for DeepBox paper in ICCV 2015☆127Updated 8 years ago
- Caffe with heatmap regression & spatial fusion layers. Useful for any CNN image position regression task.☆164Updated 7 years ago
- Appearance-and-Relation Networks☆203Updated 6 years ago
- Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)☆158Updated 5 years ago
- Code to test and use the model from "Stacked Hourglass Networks for Human Pose Estimation"☆317Updated 7 years ago
- Efficient feature extraction, aggregation and classification for action recognition (CVPR 2014)☆112Updated 9 years ago
- Evaluation of detection performance, recall, and repeatability of detection proposal algorithms☆141Updated 8 years ago
- ☆94Updated 8 years ago