Mert Kilickaya | DeepAI

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∙ 09/04/2023

Locality-Aware Hyperspectral Classification

Hyperspectral image classification is gaining popularity for high-precis...

0 Fangqin Zhou, et al. ∙

∙ 03/23/2023

Adaptive Regularization for Class-Incremental Learning

Class-Incremental Learning updates a deep classifier with new categories...

1 Elif Ceren Gok Yildirim, et al. ∙

∙ 02/01/2023

Towards Label-Efficient Incremental Learning: A Survey

The current dominant paradigm when building a machine learning model is ...

1 Mert Kilickaya, et al. ∙

∙ 01/26/2023

Are Labels Needed for Incremental Instance Learning?

In this paper, we learn to classify visual object instances, incremental...

7 Mert Kilickaya, et al. ∙

∙ 08/18/2022

Evaluating Continual Test-Time Adaptation for Contextual and Semantic Domain Shifts

In this paper, our goal is to adapt a pre-trained Convolutional Neural N...

9 Tommie Kerssies, et al. ∙

∙ 12/01/2021

Human-Object Interaction Detection via Weak Supervision

The goal of this paper is Human-object Interaction (HO-I) detection. HO-...

1 Mert Kilickaya, et al. ∙

∙ 10/27/2020

Structured Visual Search via Composition-aware Learning

This paper studies visual search using structured queries. The structure...

12 Mert Kilickaya, et al. ∙

∙ 10/17/2020

Self-Selective Context for Interaction Recognition

Human-object interaction recognition aims for identifying the relationsh...

8 Mert Kilickaya, et al. ∙

∙ 06/10/2020

Diagnosing Rarity in Human-Object Interaction Detection

Human-object interaction (HOI) detection is a core task in computer visi...

0 Mert Kilickaya, et al. ∙

∙ 04/22/2020

Continual Learning of Object Instances

We propose continual instance learning - a method that applies the conce...

0 Kishan Parshotam, et al. ∙

∙ 12/22/2016

Re-evaluating Automatic Metrics for Image Captioning

The task of generating natural language descriptions from images has rec...

0 Mert Kilickaya, et al. ∙

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