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08/02/2023
Three Factors to Improve Out-of-Distribution Detection
In the problem of out-of-distribution (OOD) detection, the usage of auxi...
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06/18/2023
Balanced Energy Regularization Loss for Out-of-distribution Detection
In the field of out-of-distribution (OOD) detection, a previous method t...
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05/26/2023
Confidence-Based Feature Imputation for Graphs with Partially Known Features
This paper investigates a missing feature imputation problem for graph l...
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04/21/2023
RoCOCO: Robust Benchmark MS-COCO to Stress-test Robustness of Image-Text Matching Models
Recently, large-scale vision-language pre-training models and visual sem...
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04/11/2023
Audio Bank: A High-Level Acoustic Signal Representation for Audio Event Recognition
Automatic audio event recognition plays a pivotal role in making human r...
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11/20/2022
Font Representation Learning via Paired-glyph Matching
Fonts can convey profound meanings of words in various forms of glyphs. ...
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10/26/2022
Meta-node: A Concise Approach to Effectively Learn Complex Relationships in Heterogeneous Graphs
Existing message passing neural networks for heterogeneous graphs rely o...
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07/13/2022
Global-local Motion Transformer for Unsupervised Skeleton-based Action Learning
We propose a new transformer model for the task of unsupervised learning...
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04/12/2022
Position-aware Location Regression Network for Temporal Video Grounding
The key to successful grounding for video surveillance is to understand ...
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03/15/2022
Pose-MUM : Reinforcing Key Points Relationship for Semi-Supervised Human Pose Estimation
A well-designed strong-weak augmentation strategy and the stable teacher...
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12/01/2021
The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification
The problem of class imbalanced data lies in that the generalization per...
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10/06/2021
Influence-Balanced Loss for Imbalanced Visual Classification
In this paper, we propose a balancing training method to address problem...
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06/14/2021
Over-Fit: Noisy-Label Detection based on the Overfitted Model Property
Due to the increasing need to handle the noisy label problem in a massiv...
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03/30/2021
Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders
Most of the existing literature regarding hyperbolic embedding concentra...
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10/02/2020
An ensemble of Density based Geometric One-Class Classifier and Genetic Algorithm
One of the most rising issues in recent machine learning research is One...
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06/18/2020
Class-Attentive Diffusion Network for Semi-Supervised Classification
We propose Aggregation with Class-Attentive Diffusion (AggCAD), a novel ...
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02/14/2020
Layer-wise Pruning and Auto-tuning of Layer-wise Learning Rates in Fine-tuning of Deep Networks
Existing fine-tuning methods use a single learning rate over all layers....
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02/07/2020
Differentiable Fixed-Point Iteration Layer
Recently, several studies proposed methods to utilize some restricted cl...
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08/12/2019
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold
This paper proposes a new high dimensional regression method by merging ...
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08/07/2019
Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning
We propose a symmetric graph convolutional autoencoder which produces a ...
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05/30/2019
Cross-modal Variational Auto-encoder with Distributed Latent Spaces and Associators
In this paper, we propose a novel structure for a cross-modal data assoc...
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05/24/2019
Neuro-Optimization: Learning Objective Functions Using Neural Networks
Mathematical optimization is widely used in various research fields. Wit...
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04/03/2019
A Comprehensive Overhaul of Feature Distillation
We investigate the design aspects of feature distillation methods achiev...
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01/21/2019
Skeleton-based Action Recognition of People Handling Objects
In visual surveillance systems, it is necessary to recognize the behavio...
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01/18/2019
Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification
In person re-identification (ReID) task, because of its shortage of trai...
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11/08/2018
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons
An activation boundary for a neuron refers to a separating hyperplane th...
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05/15/2018
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary
Many recent works on knowledge distillation have provided ways to transf...
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05/15/2018
Improving Knowledge Distillation with Supporting Adversarial Samples
Many recent works on knowledge distillation have provided ways to transf...
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03/28/2018
