Residual squeeze CNDS deep learning CNN model for very large scale places image recognition
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- Type
- article
- Published
- 2017-10-01
- Cited by
- 23
- References
- 40
- OpenAlex
- https://openalex.org/W2782645198
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:24913072
Keywords
Residual, Convolutional neural network, Computer science, Deep learning, Artificial intelligence
References
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- Torch7: A Matlab-like Environment for Machine Learning
- Understanding the difficulty of training deep feedforward neural networks
- Training Deeper Convolutional Networks with Deep Supervision
- Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
- Very Deep Convolutional Networks for Large-Scale Image Recognition
- Fully convolutional networks for semantic segmentation
- Convolutional neural networks at constrained time cost
- SUN database: Large-scale scene recognition from abbey to zoo
- Long Short-Term Memory
- Going deeper with convolutions
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- Learning long-term dependencies with gradient descent is difficult
- Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- Evolving Neural Networks through Augmenting Topologies
- ImageNet Large Scale Visual Recognition Challenge
- Practical Bayesian Optimization of Machine Learning Algorithms
- Learning Deep Features for Scene Recognition using Places Database
- Backpropagation Applied to Handwritten Zip Code Recognition
- Caffe: Convolutional Architecture for Fast Feature Embedding
Cited by
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- A Novel Semi-Supervised Learning Method Based on Fast Search and Density Peaks
- Handwritten digit recognition based on improved VGG16 network
- Using Historical Data to Predict Parking Occupancy
- Semantic and Context Information Fusion Network for View-Based 3D Model Classification and Retrieval
- Debiased Prototype Network for Adversarial Domain Adaptation
- Efficient Perfectly Secure Computation with Optimal Resilience
- Region-enhanced Deep Graph Convolutional Networks for Rumor Detection
- NEPTUNE: Network- and GPU-aware Management of Serverless Functions at the Edge
- Global temperature reconstruction of equipment based on the local temperature image using TRe-GAN
- An Improved Global Filter Pruning Algorithm Based on Filter Importance Ranking
- Human Pose Driven Object Effects Recommendation
- Towards ℓ1 Regularization for Deep Neural Networks: Model Sparsity Versus Task Difficulty
- BadRes: Reveal the Backdoors Through Residual Connection
- Two-stage fine-grained image classification model based on multi-granularity feature fusion
- NEPTUNE: A Comprehensive Framework for Managing Serverless Functions at the Edge
- PoseRec: 3D Human Pose Driven Online Advertisement Recommendation for Micro-videos
- Point-Based Weakly Supervised Deep Learning for Semantic Segmentation of Remote Sensing Images
- Learning Dense Correspondences via Local and Non-local Feature Fusion
- Large-Scale Deep Learning Optimizations: A Comprehensive Survey
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