Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge
Clemens-Alexander Brust,
Björn Barz,
Joachim Denzler
![Responsive image](/icpr/media/video_thumbnails/11702.jpg)
Auto-TLDR; Class Hierarchies for Imprecise Label Learning and Annotation eXtrapolation
Similar papers
Towards Robust Learning with Different Label Noise Distributions
Diego Ortego, Eric Arazo, Paul Albert, Noel E O'Connor, Kevin Mcguinness
![Responsive image](/icpr/media/video_thumbnails/11721.jpg)
Auto-TLDR; Distribution Robust Pseudo-Labeling with Semi-supervised Learning
Exploiting Knowledge Embedded Soft Labels for Image Recognition
Lixian Yuan, Riquan Chen, Hefeng Wu, Tianshui Chen, Wentao Wang, Pei Chen
![Responsive image](/icpr/media/video_thumbnails/11464.jpg)
Auto-TLDR; A Soft Label Vector for Image Recognition
Abstract Slides Poster Similar
Hierarchical Classification with Confidence Using Generalized Logits
James W. Davis, Tong Liang, James Enouen, Roman Ilin
![Responsive image](/icpr/media/video_thumbnails/11071.jpg)
Auto-TLDR; Generalized Logits for Hierarchical Classification
Abstract Slides Poster Similar
Iterative Label Improvement: Robust Training by Confidence Based Filtering and Dataset Partitioning
Christian Haase-Schütz, Rainer Stal, Heinz Hertlein, Bernhard Sick
![Responsive image](/icpr/media/video_thumbnails/12027.jpg)
Auto-TLDR; Meta Training and Labelling for Unlabelled Data
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
P-DIFF: Learning Classifier with Noisy Labels Based on Probability Difference Distributions
Wei Hu, Qihao Zhao, Yangyu Huang, Fan Zhang
![Responsive image](/icpr/media/video_thumbnails/11072.jpg)
Auto-TLDR; P-DIFF: A Simple and Effective Training Paradigm for Deep Neural Network Classifier with Noisy Labels
Abstract Slides Poster Similar
A CNN-RNN Framework for Image Annotation from Visual Cues and Social Network Metadata
Tobia Tesan, Pasquale Coscia, Lamberto Ballan
![Responsive image](/icpr/media/video_thumbnails/10858.jpg)
Auto-TLDR; Context-Based Image Annotation with Multiple Semantic Embeddings and Recurrent Neural Networks
Abstract Slides Poster Similar
Quasibinary Classifier for Images with Zero and Multiple Labels
Liao Shuai, Efstratios Gavves, Changyong Oh, Cees Snoek
![Responsive image](/icpr/media/video_thumbnails/11934.jpg)
Auto-TLDR; Quasibinary Classifiers for Zero-label and Multi-label Classification
Abstract Slides Poster Similar
Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches
Kalun Ho, Janis Keuper, Franz-Josef Pfreundt, Margret Keuper
![Responsive image](/icpr/media/video_thumbnails/10835.jpg)
Auto-TLDR; Clustering Objectives for K-means and Correlation Clustering Using Triplet Loss
Abstract Slides Poster Similar
Few-Shot Few-Shot Learning and the Role of Spatial Attention
Yann Lifchitz, Yannis Avrithis, Sylvaine Picard
![Responsive image](/icpr/media/video_thumbnails/11174.jpg)
Auto-TLDR; Few-shot Learning with Pre-trained Classifier on Large-Scale Datasets
Abstract Slides Poster Similar
Overcoming Noisy and Irrelevant Data in Federated Learning
Tiffany Tuor, Shiqiang Wang, Bong Jun Ko, Changchang Liu, Kin K Leung
![Responsive image](/icpr/media/video_thumbnails/11468.jpg)
Auto-TLDR; Distributedly Selecting Relevant Data for Federated Learning
Abstract Slides Poster Similar
Generative Latent Implicit Conditional Optimization When Learning from Small Sample
![Responsive image](/icpr/media/video_thumbnails/11915.jpg)
Auto-TLDR; GLICO: Generative Latent Implicit Conditional Optimization for Small Sample Learning
Abstract Slides Poster Similar
Multi-Attribute Learning with Highly Imbalanced Data
Lady Viviana Beltran Beltran, Mickaël Coustaty, Nicholas Journet, Juan C. Caicedo, Antoine Doucet
![Responsive image](/icpr/media/video_thumbnails/11993.jpg)
Auto-TLDR; Data Imbalance in Multi-Attribute Deep Learning Models: Adaptation to face each one of the problems derived from imbalance
Abstract Slides Poster Similar
Multi-Task Learning for Calorie Prediction on a Novel Large-Scale Recipe Dataset Enriched with Nutritional Information
Robin Ruede, Verena Heusser, Lukas Frank, Monica Haurilet, Alina Roitberg, Rainer Stiefelhagen
![Responsive image](/icpr/media/video_thumbnails/11338.jpg)
Auto-TLDR; Pic2kcal: Learning Food Recipes from Images for Calorie Estimation
Abstract Slides Poster Similar
A Fine-Grained Dataset and Its Efficient Semantic Segmentation for Unstructured Driving Scenarios
Kai Andreas Metzger, Peter Mortimer, Hans J "Joe" Wuensche
![Responsive image](/icpr/media/video_thumbnails/11831.jpg)
Auto-TLDR; TAS500: A Semantic Segmentation Dataset for Autonomous Driving in Unstructured Environments
Abstract Slides Poster Similar
Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks
Michele Alberti, Angela Botros, Schuetz Narayan, Rolf Ingold, Marcus Liwicki, Mathias Seuret
![Responsive image](/icpr/media/video_thumbnails/11870.jpg)
Auto-TLDR; Trainable and Spectrally Initializable Matrix Transformations for Neural Networks
Abstract Slides Poster Similar
Aerial Road Segmentation in the Presence of Topological Label Noise
Corentin Henry, Friedrich Fraundorfer, Eleonora Vig
![Responsive image](/icpr/media/video_thumbnails/11128.jpg)
Auto-TLDR; Improving Road Segmentation with Noise-Aware U-Nets for Fine-Grained Topology delineation
Abstract Slides Poster Similar
Meta Soft Label Generation for Noisy Labels
![Responsive image](/icpr/media/video_thumbnails/11736.jpg)
Auto-TLDR; MSLG: Meta-Learning for Noisy Label Generation
Abstract Slides Poster Similar
A Simple Domain Shifting Network for Generating Low Quality Images
Guruprasad Hegde, Avinash Nittur Ramesh, Kanchana Vaishnavi Gandikota, Michael Möller, Roman Obermaisser
![Responsive image](/icpr/media/video_thumbnails/11333.jpg)
Auto-TLDR; Robotic Image Classification Using Quality degrading networks
Abstract Slides Poster Similar
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
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
Semantics to Space(S2S): Embedding Semantics into Spatial Space for Zero-Shot Verb-Object Query Inferencing
![Responsive image](/icpr/media/video_thumbnails/11007.jpg)
Auto-TLDR; Semantics-to-Space: Deep Zero-Shot Learning for Verb-Object Interaction with Vectors
Abstract Slides Poster Similar
Verifying the Causes of Adversarial Examples
Honglin Li, Yifei Fan, Frieder Ganz, Tony Yezzi, Payam Barnaghi
![Responsive image](/icpr/media/video_thumbnails/11687.jpg)
Auto-TLDR; Exploring the Causes of Adversarial Examples in Neural Networks
Abstract Slides Poster Similar
Webly Supervised Image-Text Embedding with Noisy Tag Refinement
Niluthpol Mithun, Ravdeep Pasricha, Evangelos Papalexakis, Amit Roy-Chowdhury
![Responsive image](/icpr/media/video_thumbnails/11775.jpg)
Auto-TLDR; Robust Joint Embedding for Image-Text Retrieval Using Web Images
Equation Attention Relationship Network (EARN) : A Geometric Deep Metric Framework for Learning Similar Math Expression Embedding
Saleem Ahmed, Kenny Davila, Srirangaraj Setlur, Venu Govindaraju
![Responsive image](/icpr/media/video_thumbnails/11626.jpg)
Auto-TLDR; Representational Learning for Similarity Based Retrieval of Mathematical Expressions
Abstract Slides Poster Similar
Zero-Shot Text Classification with Semantically Extended Graph Convolutional Network
Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin
![Responsive image](/icpr/media/video_thumbnails/11889.jpg)
Auto-TLDR; Semantically Extended Graph Convolutional Network for Zero-shot Text Classification
Abstract Slides Poster Similar
Self-Supervised Learning for Astronomical Image Classification
Ana Martinazzo, Mateus Espadoto, Nina S. T. Hirata
![Responsive image](/icpr/media/video_thumbnails/11359.jpg)
Auto-TLDR; Unlabeled Astronomical Images for Deep Neural Network Pre-training
Abstract Slides Poster Similar
Learning Natural Thresholds for Image Ranking
Somayeh Keshavarz, Quang Nhat Tran, Richard Souvenir
![Responsive image](/icpr/media/thumbnails/2300_FI.pdf.jpg)
Auto-TLDR; Image Representation Learning and Label Discretization for Natural Image Ranking
Abstract Slides Poster Similar
Developing Motion Code Embedding for Action Recognition in Videos
Maxat Alibayev, David Andrea Paulius, Yu Sun
![Responsive image](/icpr/media/video_thumbnails/11785.jpg)
Auto-TLDR; Motion Embedding via Motion Codes for Action Recognition
Abstract Slides Poster Similar
Weakly Supervised Learning through Rank-Based Contextual Measures
João Gabriel Camacho Presotto, Lucas Pascotti Valem, Nikolas Gomes De Sá, Daniel Carlos Guimaraes Pedronette, Joao Paulo Papa
![Responsive image](/icpr/media/video_thumbnails/11560.jpg)
Auto-TLDR; Exploiting Unlabeled Data for Weakly Supervised Classification of Multimedia Data
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
Rethinking Domain Generalization Baselines
Francesco Cappio Borlino, Antonio D'Innocente, Tatiana Tommasi
![Responsive image](/icpr/media/video_thumbnails/11994.jpg)
Auto-TLDR; Style Transfer Data Augmentation for Domain Generalization
Abstract Slides Poster Similar
FashionGraph: Understanding Fashion Data Using Scene Graph Generation
Shabnam Sadegharmaki, Marc A. Kastner, Shin'Ichi Satoh
![Responsive image](/icpr/media/video_thumbnails/12496.jpg)
Auto-TLDR; Exploiting Scene Graph Knowledge for Fashion Applications
Derivation of Geometrically and Semantically Annotated UAV Datasets at Large Scales from 3D City Models
Sidi Wu, Lukas Liebel, Marco Körner
![Responsive image](/icpr/media/video_thumbnails/11429.jpg)
Auto-TLDR; Large-Scale Dataset of Synthetic UAV Imagery for Geometric and Semantic Annotation
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
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
Joint Supervised and Self-Supervised Learning for 3D Real World Challenges
Antonio Alliegro, Davide Boscaini, Tatiana Tommasi
![Responsive image](/icpr/media/video_thumbnails/11683.jpg)
Auto-TLDR; Self-supervision for 3D Shape Classification and Segmentation in Point Clouds
Hierarchical Routing Mixture of Experts
Wenbo Zhao, Yang Gao, Shahan Ali Memon, Bhiksha Raj, Rita Singh
![Responsive image](/icpr/media/video_thumbnails/11832.jpg)
Auto-TLDR; A Binary Tree-structured Hierarchical Routing Mixture of Experts for Regression
Abstract Slides Poster Similar
Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study
Veysel Kocaman, Ofer M. Shir, Thomas Baeck
![Responsive image](/icpr/media/video_thumbnails/12145.jpg)
Auto-TLDR; Exploiting Batch Normalization before the Output Layer in Deep Learning for Minority Class Detection in Imbalanced Data Sets
Abstract Slides Poster Similar
Local Propagation for Few-Shot Learning
Yann Lifchitz, Yannis Avrithis, Sylvaine Picard
![Responsive image](/icpr/media/video_thumbnails/12151.jpg)
Auto-TLDR; Local Propagation for Few-Shot Inference
Abstract Slides Poster Similar
Deep Convolutional Embedding for Digitized Painting Clustering
Giovanna Castellano, Gennaro Vessio
![Responsive image](/icpr/media/video_thumbnails/11176.jpg)
Auto-TLDR; A Deep Convolutional Embedding Model for Clustering Artworks
Abstract Slides Poster Similar
Towards Tackling Multi-Label Imbalances in Remote Sensing Imagery
Dominik Koßmann, Thorsten Wilhelm, Gernot Fink
![Responsive image](/icpr/media/video_thumbnails/11564.jpg)
Auto-TLDR; Class imbalance in land cover datasets using attribute encoding schemes
Abstract Slides Poster Similar
Improving Visual Relation Detection Using Depth Maps
Sahand Sharifzadeh, Sina Moayed Baharlou, Max Berrendorf, Rajat Koner, Volker Tresp
![Responsive image](/icpr/media/video_thumbnails/11287.jpg)
Auto-TLDR; Exploiting Depth Maps for Visual Relation Detection
Abstract Slides Poster Similar
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
Open Set Domain Recognition Via Attention-Based GCN and Semantic Matching Optimization
Xinxing He, Yuan Yuan, Zhiyu Jiang
![Responsive image](/icpr/media/video_thumbnails/11418.jpg)
Auto-TLDR; Attention-based GCN and Semantic Matching Optimization for Open Set Domain Recognition
Abstract Slides Poster Similar
Text Recognition - Real World Data and Where to Find Them
Klára Janoušková, Lluis Gomez, Dimosthenis Karatzas, Jiri Matas
![Responsive image](/icpr/media/video_thumbnails/11400.jpg)
Auto-TLDR; Exploiting Weakly Annotated Images for Text Extraction
Abstract Slides Poster Similar
Confidence Calibration for Deep Renal Biopsy Immunofluorescence Image Classification
Federico Pollastri, Juan Maroñas, Federico Bolelli, Giulia Ligabue, Roberto Paredes, Riccardo Magistroni, Costantino Grana
![Responsive image](/icpr/media/video_thumbnails/10996.jpg)
Auto-TLDR; A Probabilistic Convolutional Neural Network for Immunofluorescence Classification in Renal Biopsy
Abstract Slides Poster Similar
Semantic Bilinear Pooling for Fine-Grained Recognition
Xinjie Li, Chun Yang, Song-Lu Chen, Chao Zhu, Xu-Cheng Yin
![Responsive image](/icpr/media/video_thumbnails/11295.jpg)
Auto-TLDR; Semantic bilinear pooling for fine-grained recognition with hierarchical label tree
Abstract Slides Poster Similar