files.txt

1 - DeepLab Semantic Image Segmentation with CNN Atrous Convolution CRF
1 - Deformable convolutional network
1 - dynamic routing between capsules
2 - In-Place Activated BatchNorm for Memory Optimized Training
2 - MultiScale Context Aggregation By Dilated Convolutions
2 - YOLO9000
3 - Deep Watershed Transform for Instance Segmentation
3 - Mask R-CNN
4 - Cascade Residual Learning Two-stage Convolutional Neural Network for Stereo Matching
4 - Efficient Deep Learning for Stereo Matching
4 - FlowNet Learning Optical Flow with Convolutional Network
4 - The Reversible Residual Network (Backprop Without Storing Activations)
5 - Aligning Plot Synopses to Video (IJMIR_plot-retrieval)
5 - Automatic Naming of Characters in TV Video
5 - Book2Movie CVPR2015
5 - Detect to Track and Track to Detect
5 - Global Data Association for Multi-Object Tracking Using Network Flows
5 - Semisupervised Learning for Person Identification CVPR2013
6 - Learning Spatiotemporal Features with 3D Convolutional Networks
6 - Real-Time User-Guided Image Colorization with learned Deep Priors
6 - Temporal Relational Reasoning in Videos
6 - Two-Stream Convolutional Networks for Action Recognition in Videos
7 - Look, Listen and Learn
7 - Self-Critical Sequence Training for Image Captioning
7 - Show, Attend and Tell Neural Image Caption Generation with Visual Attention
7 - SoundNet Learning Sound Representations from Unlabeled Video
8 - Ask Your Neurons A Neural-Based Approach to Answering Questions about Images
8 - Deep Compositional Question Answering with neural Module Networks
8 - Learning to Reason End-to-End Module Networks for Visual Question Answering
8 - Visual Question Answering Learnings From the 2017 Challenge
9 - EXPLAINING_AND_HARNESSING_ADVERSARIAL_EXAMPLES