Fine-Tuning DARTS for Image Classification
Muhammad Suhaib Tanveer,
Umar Karim Khan,
Chong Min Kyung
![Responsive image](/icpr/media/video_thumbnails/11439.jpg)
Auto-TLDR; Fine-Tune Neural Architecture Search using Fixed Operations
Similar papers
Operation and Topology Aware Fast Differentiable Architecture Search
Shahid Siddiqui, Christos Kyrkou, Theocharis Theocharides
![Responsive image](/icpr/media/video_thumbnails/12051.jpg)
Auto-TLDR; EDARTS: Efficient Differentiable Architecture Search with Efficient Optimization
Abstract Slides Poster Similar
E-DNAS: Differentiable Neural Architecture Search for Embedded Systems
Javier García López, Antonio Agudo, Francesc Moreno-Noguer
![Responsive image](/icpr/media/video_thumbnails/11428.jpg)
Auto-TLDR; E-DNAS: Differentiable Architecture Search for Light-Weight Networks for Image Classification
Abstract Slides Poster Similar
OCT Image Segmentation Using NeuralArchitecture Search and SRGAN
Saba Heidari, Omid Dehzangi, Nasser M. Nasarabadi, Ali Rezai
![Responsive image](/icpr/media/video_thumbnails/11645.jpg)
Auto-TLDR; Automatic Segmentation of Retinal Layers in Optical Coherence Tomography using Neural Architecture Search
VPU Specific CNNs through Neural Architecture Search
Ciarán Donegan, Hamza Yous, Saksham Sinha, Jonathan Byrne
![Responsive image](/icpr/media/video_thumbnails/12065.jpg)
Auto-TLDR; Efficient Convolutional Neural Networks for Edge Devices using Neural Architecture Search
Abstract Slides Poster Similar
Neural Architecture Search for Image Super-Resolution Using Densely Connected Search Space: DeCoNAS
![Responsive image](/icpr/media/video_thumbnails/11444.jpg)
Auto-TLDR; DeCoNASNet: Automated Neural Architecture Search for Super-Resolution
Abstract Slides Poster Similar
Stage-Wise Neural Architecture Search
Artur Jordão, Fernando Akio Yamada, Maiko Lie, William Schwartz
![Responsive image](/icpr/media/video_thumbnails/11086.jpg)
Auto-TLDR; Efficient Neural Architecture Search for Deep Convolutional Networks
Abstract Slides Poster Similar
Channel Planting for Deep Neural Networks Using Knowledge Distillation
Kakeru Mitsuno, Yuichiro Nomura, Takio Kurita
![Responsive image](/icpr/media/video_thumbnails/11791.jpg)
Auto-TLDR; Incremental Training for Deep Neural Networks with Knowledge Distillation
Abstract Slides Poster Similar
Automatic Student Network Search for Knowledge Distillation
Zhexi Zhang, Wei Zhu, Junchi Yan, Peng Gao, Guotong Xie
![Responsive image](/icpr/media/video_thumbnails/11142.jpg)
Auto-TLDR; NAS-KD: Knowledge Distillation for BERT
Abstract Slides Poster Similar
NAS-EOD: An End-To-End Neural Architecture Search Method for Efficient Object Detection
Huigang Zhang, Liuan Wang, Jun Sun, Li Sun, Hiromichi Kobashi, Nobutaka Imamura
![Responsive image](/icpr/media/video_thumbnails/11014.jpg)
Auto-TLDR; NAS-EOD: Neural Architecture Search for Object Detection on Edge Devices
Real-time Pedestrian Lane Detection for Assistive Navigation using Neural Architecture Search
Sui Paul Ang, Son Lam Phung, Thi Nhat Anh Nguyen, Soan T. M. Duong, Abdesselam Bouzerdoum, Mark M. Schira
![Responsive image](/icpr/media/video_thumbnails/11894.jpg)
Auto-TLDR; Real-Time Pedestrian Lane Detection Using Deep Neural Networks
Abstract Slides Poster Similar
Resource-efficient DNNs for Keyword Spotting using Neural Architecture Search and Quantization
David Peter, Wolfgang Roth, Franz Pernkopf
![Responsive image](/icpr/media/video_thumbnails/12000.jpg)
Auto-TLDR; Neural Architecture Search for Keyword Spotting in Limited Resource Environments
Abstract Slides Poster Similar
Rethinking of Deep Models Parameters with Respect to Data Distribution
Shitala Prasad, Dongyun Lin, Yiqun Li, Sheng Dong, Zaw Min Oo
![Responsive image](/icpr/media/video_thumbnails/11912.jpg)
Auto-TLDR; A progressive stepwise training strategy for deep neural networks
Abstract Slides Poster Similar
Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search
Chu Xiangxiang, Bo Zhang, Micheal Ma Hailong, Ruijun Xu, Jixiang Li, Qingyuan Li
![Responsive image](/icpr/media/video_thumbnails/12616.jpg)
Auto-TLDR; Multi-Objective Neural Architecture Search for Super-Resolution
Abstract Slides Poster Similar
Fast and Accurate Real-Time Semantic Segmentation with Dilated Asymmetric Convolutions
Leonel Rosas-Arias, Gibran Benitez-Garcia, Jose Portillo-Portillo, Gabriel Sanchez-Perez, Keiji Yanai
![Responsive image](/icpr/media/video_thumbnails/11119.jpg)
Auto-TLDR; FASSD-Net: Dilated Asymmetric Pyramidal Fusion for Real-Time Semantic Segmentation
Abstract Slides Poster Similar
AOAM: Automatic Optimization of Adjacency Matrix for Graph Convolutional Network
Yuhang Zhang, Hongshuai Ren, Jiexia Ye, Xitong Gao, Yang Wang, Kejiang Ye, Cheng-Zhong Xu
![Responsive image](/icpr/media/video_thumbnails/11482.jpg)
Auto-TLDR; Adjacency Matrix for Graph Convolutional Network in Non-Euclidean Space
Abstract Slides Poster Similar
Is the Meta-Learning Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised Learning?
![Responsive image](/icpr/media/video_thumbnails/10847.jpg)
Auto-TLDR; Meta-learning Based Training of Deep Neural Networks for Few-Shot Learning
Abstract Slides Poster Similar
Norm Loss: An Efficient yet Effective Regularization Method for Deep Neural Networks
Theodoros Georgiou, Sebastian Schmitt, Thomas Baeck, Wei Chen, Michael Lew
![Responsive image](/icpr/media/video_thumbnails/11942.jpg)
Auto-TLDR; Weight Soft-Regularization with Oblique Manifold for Convolutional Neural Network Training
Abstract Slides Poster Similar
PSDNet: A Balanced Architecture of Accuracy and Parameters for Semantic Segmentation
![Responsive image](/icpr/media/video_thumbnails/10935.jpg)
Auto-TLDR; Pyramid Pooling Module with SE1Cblock and D2SUpsample Network (PSDNet)
Abstract Slides Poster Similar
LiNet: A Lightweight Network for Image Super Resolution
Armin Mehri, Parichehr Behjati Ardakani, Angel D. Sappa
![Responsive image](/icpr/media/video_thumbnails/11743.jpg)
Auto-TLDR; LiNet: A Compact Dense Network for Lightweight Super Resolution
Abstract Slides Poster Similar
CQNN: Convolutional Quadratic Neural Networks
![Responsive image](/icpr/media/video_thumbnails/12071.jpg)
Auto-TLDR; Quadratic Neural Network for Image Classification
Abstract Slides Poster Similar
Slimming ResNet by Slimming Shortcut
Donggyu Joo, Doyeon Kim, Junmo Kim
![Responsive image](/icpr/media/video_thumbnails/11805.jpg)
Auto-TLDR; SSPruning: Slimming Shortcut Pruning on ResNet Based Networks
Abstract Slides Poster Similar
Learning Sparse Deep Neural Networks Using Efficient Structured Projections on Convex Constraints for Green AI
Michel Barlaud, Frederic Guyard
![Responsive image](/icpr/media/thumbnails/0577_FI.pdf.jpg)
Auto-TLDR; Constrained Deep Neural Network with Constrained Splitting Projection
Abstract Slides Poster Similar
HFP: Hardware-Aware Filter Pruning for Deep Convolutional Neural Networks Acceleration
Fang Yu, Chuanqi Han, Pengcheng Wang, Ruoran Huang, Xi Huang, Li Cui
![Responsive image](/icpr/media/video_thumbnails/10861.jpg)
Auto-TLDR; Hardware-Aware Filter Pruning for Convolutional Neural Networks
Abstract Slides Poster Similar
Attention As Activation
Yimian Dai, Stefan Oehmcke, Fabian Gieseke, Yiquan Wu, Kobus Barnard
![Responsive image](/icpr/media/video_thumbnails/11985.jpg)
Auto-TLDR; Attentional Activation Units for Convolutional Networks
Single Image Super-Resolution with Dynamic Residual Connection
Karam Park, Jae Woong Soh, Nam Ik Cho
![Responsive image](/icpr/media/video_thumbnails/11242.jpg)
Auto-TLDR; Dynamic Residual Attention Network for Lightweight Single Image Super-Residual Networks
Abstract Slides Poster Similar
P2 Net: Augmented Parallel-Pyramid Net for Attention Guided Pose Estimation
Luanxuan Hou, Jie Cao, Yuan Zhao, Haifeng Shen, Jian Tang, Ran He
![Responsive image](/icpr/media/video_thumbnails/12050.jpg)
Auto-TLDR; Parallel-Pyramid Net with Partial Attention for Human Pose Estimation
Abstract Slides Poster Similar
Dynamic Multi-Path Neural Network
Yingcheng Su, Yichao Wu, Ken Chen, Ding Liang, Xiaolin Hu
![Responsive image](/icpr/media/video_thumbnails/11355.jpg)
Auto-TLDR; Dynamic Multi-path Neural Network
Rethinking Experience Replay: A Bag of Tricks for Continual Learning
Pietro Buzzega, Matteo Boschini, Angelo Porrello, Simone Calderara
![Responsive image](/icpr/media/video_thumbnails/11110.jpg)
Auto-TLDR; Experience Replay for Continual Learning: A Practical Approach
Abstract Slides Poster Similar
Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks
Sebastian Palacio, Philipp Engler, Jörn Hees, Andreas Dengel
![Responsive image](/icpr/media/video_thumbnails/11958.jpg)
Auto-TLDR; Self-Supervised Autogenous Learning for Deep Neural Networks
Abstract Slides Poster Similar
Progressive Gradient Pruning for Classification, Detection and Domain Adaptation
Le Thanh Nguyen-Meidine, Eric Granger, Marco Pedersoli, Madhu Kiran, Louis-Antoine Blais-Morin
![Responsive image](/icpr/media/video_thumbnails/11187.jpg)
Auto-TLDR; Progressive Gradient Pruning for Iterative Filter Pruning of Convolutional Neural Networks
Abstract Slides Poster Similar
Exploiting Elasticity in Tensor Ranks for Compressing Neural Networks
Jie Ran, Rui Lin, Hayden Kwok-Hay So, Graziano Chesi, Ngai Wong
![Responsive image](/icpr/media/video_thumbnails/12077.jpg)
Auto-TLDR; Nuclear-Norm Rank Minimization Factorization for Deep Neural Networks
Abstract Slides Poster Similar
A Systematic Investigation on Deep Architectures for Automatic Skin Lesions Classification
Pierluigi Carcagni, Marco Leo, Andrea Cuna, Giuseppe Celeste, Cosimo Distante
![Responsive image](/icpr/media/video_thumbnails/11922.jpg)
Auto-TLDR; RegNet: Deep Investigation of Convolutional Neural Networks for Automatic Classification of Skin Lesions
Abstract Slides Poster Similar
Revisiting the Training of Very Deep Neural Networks without Skip Connections
Oyebade Kayode Oyedotun, Abd El Rahman Shabayek, Djamila Aouada, Bjorn Ottersten
![Responsive image](/icpr/media/video_thumbnails/11178.jpg)
Auto-TLDR; Optimization of Very Deep PlainNets without shortcut connections with 'vanishing and exploding units' activations'
Abstract Slides Poster Similar
Learning to Prune in Training via Dynamic Channel Propagation
Shibo Shen, Rongpeng Li, Zhifeng Zhao, Honggang Zhang, Yugeng Zhou
![Responsive image](/icpr/media/video_thumbnails/10949.jpg)
Auto-TLDR; Dynamic Channel Propagation for Neural Network Pruning
Abstract Slides Poster Similar
Transitional Asymmetric Non-Local Neural Networks for Real-World Dirt Road Segmentation
![Responsive image](/icpr/media/video_thumbnails/11712.jpg)
Auto-TLDR; Transitional Asymmetric Non-Local Neural Networks for Semantic Segmentation on Dirt Roads
Abstract Slides Poster Similar
Second-Order Attention Guided Convolutional Activations for Visual Recognition
Shannan Chen, Qian Wang, Qiule Sun, Bin Liu, Jianxin Zhang, Qiang Zhang
![Responsive image](/icpr/media/video_thumbnails/11220.jpg)
Auto-TLDR; Second-order Attention Guided Network for Convolutional Neural Networks for Visual Recognition
Abstract Slides Poster Similar
Temporal Attention-Augmented Graph Convolutional Network for Efficient Skeleton-Based Human Action Recognition
Negar Heidari, Alexandros Iosifidis
![Responsive image](/icpr/media/video_thumbnails/11833.jpg)
Auto-TLDR; Temporal Attention Module for Efficient Graph Convolutional Network-based Action Recognition
Abstract Slides Poster Similar
A Systematic Investigation on End-To-End Deep Recognition of Grocery Products in the Wild
Marco Leo, Pierluigi Carcagni, Cosimo Distante
![Responsive image](/icpr/media/video_thumbnails/11748.jpg)
Auto-TLDR; Automatic Recognition of Products on grocery shelf images using Convolutional Neural Networks
Abstract Slides Poster Similar
Filter Pruning Using Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks
![Responsive image](/icpr/media/video_thumbnails/10969.jpg)
Auto-TLDR; Hierarchical Group Sparse Regularization for Sparse Convolutional Neural Networks
Abstract Slides Poster Similar
Context-Aware Residual Module for Image Classification
![Responsive image](/icpr/media/video_thumbnails/11260.jpg)
Auto-TLDR; Context-Aware Residual Module for Image Classification
Abstract Slides Poster Similar
On the Information of Feature Maps and Pruning of Deep Neural Networks
Mohammadreza Soltani, Suya Wu, Jie Ding, Robert Ravier, Vahid Tarokh
![Responsive image](/icpr/media/video_thumbnails/11717.jpg)
Auto-TLDR; Compressing Deep Neural Models Using Mutual Information
Abstract Slides Poster Similar
ResNet-Like Architecture with Low Hardware Requirements
Elena Limonova, Daniil Alfonso, Dmitry Nikolaev, Vladimir V. Arlazarov
![Responsive image](/icpr/media/video_thumbnails/11618.jpg)
Auto-TLDR; BM-ResNet: Bipolar Morphological ResNet for Image Classification
Abstract Slides Poster Similar
Enhancing Semantic Segmentation of Aerial Images with Inhibitory Neurons
Ihsan Ullah, Sean Reilly, Michael Madden
![Responsive image](/icpr/media/video_thumbnails/11523.jpg)
Auto-TLDR; Lateral Inhibition in Deep Neural Networks for Object Recognition and Semantic Segmentation
Abstract Slides Poster Similar
MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values
Claudio Filipi Gonçalves Santos, Danilo Colombo, Mateus Roder, Joao Paulo Papa
![Responsive image](/icpr/media/video_thumbnails/11171.jpg)
Auto-TLDR; MaxDropout: A Regularizer for Deep Neural Networks
Abstract Slides Poster Similar
Efficient Super Resolution by Recursive Aggregation
Zhengxiong Luo Zhengxiong Luo, Yan Huang, Shang Li, Liang Wang, Tieniu Tan
![Responsive image](/icpr/media/video_thumbnails/11916.jpg)
Auto-TLDR; Recursive Aggregation Network for Efficient Deep Super Resolution
Abstract Slides Poster Similar
Attention Pyramid Module for Scene Recognition
Zhinan Qiao, Xiaohui Yuan, Chengyuan Zhuang, Abolfazl Meyarian
![Responsive image](/icpr/media/video_thumbnails/11784.jpg)
Auto-TLDR; Attention Pyramid Module for Multi-Scale Scene Recognition
Abstract Slides Poster Similar
Feature-Dependent Cross-Connections in Multi-Path Neural Networks
Dumindu Tissera, Kasun Vithanage, Rukshan Wijesinghe, Kumara Kahatapitiya, Subha Fernando, Ranga Rodrigo
![Responsive image](/icpr/media/video_thumbnails/11342.jpg)
Auto-TLDR; Multi-path Networks for Adaptive Feature Extraction
Abstract Slides Poster Similar
Can Data Placement Be Effective for Neural Networks Classification Tasks? Introducing the Orthogonal Loss
Brais Cancela, Veronica Bolon-Canedo, Amparo Alonso-Betanzos
![Responsive image](/icpr/media/video_thumbnails/10880.jpg)
Auto-TLDR; Spatial Placement for Neural Network Training Loss Functions
Abstract Slides Poster Similar