Efficient Online Subclass Knowledge Distillation for Image Classification
Maria Tzelepi,
Nikolaos Passalis,
Anastasios Tefas
![Responsive image](/icpr/media/video_thumbnails/10958.jpg)
Auto-TLDR; OSKD: Online Subclass Knowledge Distillation
Similar papers
Knowledge Distillation Beyond Model Compression
Fahad Sarfraz, Elahe Arani, Bahram Zonooz
![Responsive image](/icpr/media/video_thumbnails/11609.jpg)
Auto-TLDR; Knowledge Distillation from Teacher to Student
Abstract Slides Poster Similar
Knowledge Distillation with a Precise Teacher and Prediction with Abstention
![Responsive image](/icpr/media/video_thumbnails/11966.jpg)
Auto-TLDR; Knowledge Distillation using Deep gambler loss and selective classification framework
Abstract Slides Poster Similar
Feature Fusion for Online Mutual Knowledge Distillation
Jangho Kim, Minsung Hyun, Inseop Chung, Nojun Kwak
![Responsive image](/icpr/media/video_thumbnails/11417.jpg)
Auto-TLDR; Feature Fusion Learning Using Fusion of Sub-Networks
Abstract Slides Poster Similar
Compact CNN Structure Learning by Knowledge Distillation
Waqar Ahmed, Andrea Zunino, Pietro Morerio, Vittorio Murino
![Responsive image](/icpr/media/video_thumbnails/11662.jpg)
Auto-TLDR; Knowledge Distillation for Compressing Deep Convolutional Neural Networks
Abstract Slides Poster Similar
Distilling Spikes: Knowledge Distillation in Spiking Neural Networks
Ravi Kumar Kushawaha, Saurabh Kumar, Biplab Banerjee, Rajbabu Velmurugan
![Responsive image](/icpr/media/video_thumbnails/11406.jpg)
Auto-TLDR; Knowledge Distillation in Spiking Neural Networks for Image Classification
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
FastSal: A Computationally Efficient Network for Visual Saliency Prediction
![Responsive image](/icpr/media/video_thumbnails/11972.jpg)
Auto-TLDR; MobileNetV2: A Convolutional Neural Network for Saliency Prediction
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
Adversarial Knowledge Distillation for a Compact Generator
Hideki Tsunashima, Shigeo Morishima, Junji Yamato, Qiu Chen, Hirokatsu Kataoka
![Responsive image](/icpr/media/video_thumbnails/12174.jpg)
Auto-TLDR; Adversarial Knowledge Distillation for Generative Adversarial Nets
Abstract Slides Poster Similar
Exploiting Non-Linear Redundancy for Neural Model Compression
Muhammad Ahmed Shah, Raphael Olivier, Bhiksha Raj
![Responsive image](/icpr/media/video_thumbnails/12085.jpg)
Auto-TLDR; Compressing Deep Neural Networks with Linear Dependency
Abstract Slides Poster Similar
Teacher-Student Training and Triplet Loss for Facial Expression Recognition under Occlusion
Mariana-Iuliana Georgescu, Radu Ionescu
![Responsive image](/icpr/media/video_thumbnails/11122.jpg)
Auto-TLDR; Knowledge Distillation for Facial Expression Recognition under Occlusion
Towards Low-Bit Quantization of Deep Neural Networks with Limited Data
Yong Yuan, Chen Chen, Xiyuan Hu, Silong Peng
![Responsive image](/icpr/media/video_thumbnails/11385.jpg)
Auto-TLDR; Low-Precision Quantization of Deep Neural Networks with Limited Data
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
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
Adaptive Distillation for Decentralized Learning from Heterogeneous Clients
Jiaxin Ma, Ryo Yonetani, Zahid Iqbal
![Responsive image](/icpr/media/video_thumbnails/11779.jpg)
Auto-TLDR; Decentralized Learning via Adaptive Distillation
Abstract Slides Poster Similar
Supervised Domain Adaptation Using Graph Embedding
Lukas Hedegaard, Omar Ali Sheikh-Omar, Alexandros Iosifidis
![Responsive image](/icpr/media/video_thumbnails/11825.jpg)
Auto-TLDR; Domain Adaptation from the Perspective of Multi-view Graph Embedding and Dimensionality Reduction
Abstract Slides Poster Similar
Neuron-Based Network Pruning Based on Majority Voting
Ali Alqahtani, Xianghua Xie, Ehab Essa, Mark W. Jones
![Responsive image](/icpr/media/video_thumbnails/11223.jpg)
Auto-TLDR; Large-Scale Neural Network Pruning using Majority Voting
Abstract Slides Poster Similar
Local Clustering with Mean Teacher for Semi-Supervised Learning
Zexi Chen, Benjamin Dutton, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai
![Responsive image](/icpr/media/video_thumbnails/11622.jpg)
Auto-TLDR; Local Clustering for Semi-supervised Learning
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
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
Beyond Cross-Entropy: Learning Highly Separable Feature Distributions for Robust and Accurate Classification
Arslan Ali, Andrea Migliorati, Tiziano Bianchi, Enrico Magli
![Responsive image](/icpr/media/video_thumbnails/12057.jpg)
Auto-TLDR; Gaussian class-conditional simplex loss for adversarial robust multiclass classifiers
Abstract Slides Poster Similar
A Close Look at Deep Learning with Small Data
![Responsive image](/icpr/media/video_thumbnails/11148.jpg)
Auto-TLDR; Low-Complex Neural Networks for Small Data Conditions
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
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
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
Semi-Supervised Class Incremental Learning
Alexis Lechat, Stéphane Herbin, Frederic Jurie
![Responsive image](/icpr/media/video_thumbnails/12142.jpg)
Auto-TLDR; incremental class learning with non-annotated batches
Abstract Slides Poster Similar
Compression Strategies and Space-Conscious Representations for Deep Neural Networks
Giosuè Marinò, Gregorio Ghidoli, Marco Frasca, Dario Malchiodi
![Responsive image](/icpr/media/video_thumbnails/12073.jpg)
Auto-TLDR; Compression of Large Convolutional Neural Networks by Weight Pruning and Quantization
Abstract Slides Poster Similar
A Discriminant Information Approach to Deep Neural Network Pruning
![Responsive image](/icpr/media/video_thumbnails/12036.jpg)
Auto-TLDR; Channel Pruning Using Discriminant Information and Reinforcement Learning
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
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
Pretraining Image Encoders without Reconstruction Via Feature Prediction Loss
Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki
![Responsive image](/icpr/media/thumbnails/0593_FI.pdf.jpg)
Auto-TLDR; Feature Prediction Loss for Autoencoder-based Pretraining of Image Encoders
Graph-Based Interpolation of Feature Vectors for Accurate Few-Shot Classification
Yuqing Hu, Vincent Gripon, Stéphane Pateux
![Responsive image](/icpr/media/video_thumbnails/11865.jpg)
Auto-TLDR; Transductive Learning for Few-Shot Classification using Graph Neural Networks
Abstract Slides Poster Similar
Smart Inference for Multidigit Convolutional Neural Network Based Barcode Decoding
Duy-Thao Do, Tolcha Yalew, Tae Joon Jun, Daeyoung Kim
![Responsive image](/icpr/media/video_thumbnails/11214.jpg)
Auto-TLDR; Smart Inference for Barcode Decoding using Deep Convolutional Neural Network
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
MINT: Deep Network Compression Via Mutual Information-Based Neuron Trimming
Madan Ravi Ganesh, Jason Corso, Salimeh Yasaei Sekeh
![Responsive image](/icpr/media/video_thumbnails/11876.jpg)
Auto-TLDR; Mutual Information-based Neuron Trimming for Deep Compression via Pruning
Abstract Slides Poster Similar
Softer Pruning, Incremental Regularization
Linhang Cai, Zhulin An, Yongjun Xu
![Responsive image](/icpr/media/video_thumbnails/10857.jpg)
Auto-TLDR; Asymptotic SofteR Filter Pruning for Deep Neural Network Pruning
Abstract Slides Poster Similar
A Joint Representation Learning and Feature Modeling Approach for One-Class Recognition
Pramuditha Perera, Vishal Patel
![Responsive image](/icpr/media/video_thumbnails/11668.jpg)
Auto-TLDR; Combining Generative Features and One-Class Classification for Effective One-class Recognition
Abstract Slides Poster Similar
Image Representation Learning by Transformation Regression
Xifeng Guo, Jiyuan Liu, Sihang Zhou, En Zhu, Shihao Dong
![Responsive image](/icpr/media/video_thumbnails/10898.jpg)
Auto-TLDR; Self-supervised Image Representation Learning using Continuous Parameter Prediction
Abstract Slides Poster Similar
Multi-Order Feature Statistical Model for Fine-Grained Visual Categorization
Qingtao Wang, Ke Zhang, Shaoli Huang, Lianbo Zhang, Jin Fan
![Responsive image](/icpr/media/video_thumbnails/11766.jpg)
Auto-TLDR; Multi-Order Feature Statistical Method for Fine-Grained Visual Categorization
Abstract Slides Poster Similar
Stochastic Label Refinery: Toward Better Target Label Distribution
Xi Fang, Jiancheng Yang, Bingbing Ni
![Responsive image](/icpr/media/video_thumbnails/11980.jpg)
Auto-TLDR; Stochastic Label Refinery for Deep Supervised Learning
Abstract Slides Poster Similar
Nearest Neighbor Classification Based on Activation Space of Convolutional Neural Network
Xinbo Ju, Shuo Shao, Huan Long, Weizhe Wang
![Responsive image](/icpr/media/video_thumbnails/10885.jpg)
Auto-TLDR; Convolutional Neural Network with Convex Hull Based Classifier
Exploiting Distilled Learning for Deep Siamese Tracking
Chengxin Liu, Zhiguo Cao, Wei Li, Yang Xiao, Shuaiyuan Du, Angfan Zhu
![Responsive image](/icpr/media/video_thumbnails/10905.jpg)
Auto-TLDR; Distilled Learning Framework for Siamese Tracking
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
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
Multi-Modal Deep Clustering: Unsupervised Partitioning of Images
![Responsive image](/icpr/media/video_thumbnails/11431.jpg)
Auto-TLDR; Multi-Modal Deep Clustering for Unlabeled Images
Abstract Slides Poster Similar
On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks
Wolfgang Roth, Günther Schindler, Holger Fröning, Franz Pernkopf
![Responsive image](/icpr/media/video_thumbnails/12131.jpg)
Auto-TLDR; Quantization-Aware Bayesian Network Classifiers for Small-Scale Scenarios
Abstract Slides Poster Similar
Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks
Yoshitomo Matsubara, Marco Levorato
![Responsive image](/icpr/media/video_thumbnails/11120.jpg)
Auto-TLDR; Deep Neural Networks for Remote Object Detection Using Edge Computing
Abstract Slides Poster Similar