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09/06/2023
Knowledge Distillation Layer that Lets the Student Decide
Typical technique in knowledge distillation (KD) is regularizing the lea...
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08/18/2023
Generalized Sum Pooling for Metric Learning
A common architectural choice for deep metric learning is a convolutiona...
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07/14/2023
Generalizable Embeddings with Cross-batch Metric Learning
Global average pooling (GAP) is a popular component in deep metric learn...
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03/03/2023
MAEVI: Motion Aware Event-Based Video Frame Interpolation
Utilization of event-based cameras is expected to improve the visual qua...
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10/03/2022
Feature Embedding by Template Matching as a ResNet Block
Convolution blocks serve as local feature extractors and are the key to ...
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09/19/2022
E-VFIA : Event-Based Video Frame Interpolation with Attention
Video frame interpolation (VFI) is a fundamental vision task that aims t...
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09/19/2022
Deep Metric Learning with Chance Constraints
Deep metric learning (DML) aims to minimize empirical expected loss of t...
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02/26/2022
Improved Hard Example Mining Approach for Single Shot Object Detectors
Hard example mining methods generally improve the performance of the obj...
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08/18/2021
Effect of Parameter Optimization on Classical and Learning-based Image Matching Methods
Deep learning-based image matching methods are improved significantly du...
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06/14/2021
DFM: A Performance Baseline for Deep Feature Matching
A novel image matching method is proposed that utilizes learned features...
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01/18/2021
Semi-Automatic Video Annotation For Object Detection
In this study, a semi-automatic video annotation method is proposed whic...
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10/24/2020
Blind Deinterleaving of Signals in Time Series with Self-attention Based Soft Min-cost Flow Learning
We propose an end-to-end learning approach to address deinterleaving of ...
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08/03/2020
Late Temporal Modeling in 3D CNN Architectures with BERT for Action Recognition
In this work, we combine 3D convolution with late temporal modeling for ...
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04/02/2020
Effect of Annotation Errors on Drone Detection with YOLOv3
Following the recent advances in deep networks, object detection and tra...
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07/22/2019
Quadruplet Selection Methods for Deep Embedding Learning
Recognition of objects with subtle differences has been used in many pra...
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07/17/2019
Deep Metric Learning with Alternating Projections onto Feasible Sets
During the training of networks for distance metric learning, minimizers...
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01/22/2013