conftrace_

convolutional neural network

4226 papers

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Also known as

CNN CONVNET

Co-occurring keywords

image classification (1944) object detection (2762) semantic segmentation (3186) attention mechanism (4001) model compression (3302) recurrent neural network (1790) text classification (6793) feature extraction (1580) feature learning (1311) representation learning (6206)

Papers

Sparsifying Neural Network Connections for Face Recognition CVPR 2016
Sparseness Meets Deepness: 3D Human Pose Estimation From Monocular Video CVPR 2016
Bottom-Up and Top-Down Reasoning With Hierarchical Rectified Gaussians CVPR 2016
Detecting Vanishing Points Using Global Image Context in a Non-Manhattan World CVPR 2016
Recombinator Networks: Learning Coarse-To-Fine Feature Aggregation CVPR 2016
End-To-End Saliency Mapping via Probability Distribution Prediction CVPR 2016
Marr Revisited: 2D-3D Alignment via Surface Normal Prediction CVPR 2016
Unconstrained Salient Object Detection via Proposal Subset Optimization CVPR 2016
Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data Is Continuous and Weakly Labelled CVPR 2016
DeepCAMP: Deep Convolutional Action & Attribute Mid-Level Patterns CVPR 2016
Discriminative Multi-Modal Feature Fusion for RGBD Indoor Scene Recognition CVPR 2016
Eye Tracking for Everyone CVPR 2016
Exploit All the Layers: Fast and Accurate CNN Object Detector With Scale Dependent Pooling and Cascaded Rejection Classifiers CVPR 2016
Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer CVPR 2016
3D Action Recognition From Novel Viewpoints CVPR 2016
Person Re-Identification by Multi-Channel Parts-Based CNN With Improved Triplet Loss Function CVPR 2016
How Far Are We From Solving Pedestrian Detection? CVPR 2016
Structured Receptive Fields in CNNs CVPR 2016
G-CNN: An Iterative Grid Based Object Detector CVPR 2016
Learning With Side Information Through Modality Hallucination CVPR 2016
Training Region-Based Object Detectors With Online Hard Example Mining CVPR 2016
Instance-Level Segmentation for Autonomous Driving With Deep Densely Connected MRFs CVPR 2016
Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition NIPS 2016
Dynamic Filter Networks NIPS 2016
Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning NIPS 2016