Novel CNN architecture with residual learning and deep supervision for large-scale scene image categorization
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- Type
- article
- Published
- 2016-10-01
- Cited by
- 19
- References
- 29
- OpenAlex
- https://openalex.org/W2563602643
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:6454063
Keywords
Overfitting, Residual, Convolutional neural network, Computer science, 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
- ImageNet Large Scale Visual Recognition Challenge
- Learning Deep Features for Scene Recognition using Places Database
- Backpropagation Applied to Handwritten Zip Code Recognition
- Caffe: Convolutional Architecture for Fast Feature Embedding
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition
Cited by
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- Residual squeeze CNDS deep learning CNN model for very large scale places image recognition
- Deep CNN-LSTM with combined kernels from multiple branches for IMDb review sentiment analysis
- Compressed residual-VGG16 CNN model for big data places image recognition
- Hybrid deep learning ensemble model for improved large-scale car recognition
- Coordinate CNNs and LSTMs to categorize scene images with multi-views and multi-levels of abstraction
- Using Historical Data to Predict Parking Occupancy
- Deep pyramid local attention neural network for cardiac structure segmentation in two-dimensional echocardiography
- Deep residual neural network-based classification of loaded and unloaded UAV images
- U-net based analysis of MRI for Alzheimer’s disease diagnosis
- MSDS-UNet: A multi-scale deeply supervised 3D U-Net for automatic segmentation of lung tumor in CT
- DW-UNet: Loss Balance under Local-Patch for 3D Infection Segmentation from COVID-19 CT Images
- Block-Greedy and CNN Based Underwater Image Dehazing for Novel Depth Estimation and Optimal Ambient Light
- A Comprehensive Review on Deep Supervision: Theories and Applications
- GDSSA-Net: A gradually deeply supervised self-ensemble attention network for IoMT-integrated thyroid nodule segmentation
- Improving World Models using Deep Supervision with Linear Probes
- Single and Multibranch CNN-Bidirectional LSTM for IMDb Sentiment Analysis
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