Search Results for author: Mert Kilickaya

Found 9 papers, 2 papers with code

Towards Label-Efficient Incremental Learning: A Survey

1 code implementation1 Feb 2023 Mert Kilickaya, Joost Van de Weijer, Yuki M. Asano

The current dominant paradigm when building a machine learning model is to iterate over a dataset over and over until convergence.

Incremental Learning Self-Supervised Learning

Are Labels Needed for Incremental Instance Learning?

no code implementations26 Jan 2023 Mert Kilickaya, Joaquin Vanschoren

We propose VINIL, a self-incremental learner that can learn object instances sequentially, ii.

Human-Object Interaction Detection via Weak Supervision

no code implementations1 Dec 2021 Mert Kilickaya, Arnold Smeulders

iii) We evaluate Align-Former on HICO-DET [5] and V-COCO [13], and show that Align-Former outperforms existing image-level supervised HO-I detectors by a large margin (4. 71% mAP improvement from 16. 14% to 20. 85% on HICO-DET [5]).

Human-Object Interaction Detection

Structured Visual Search via Composition-aware Learning

no code implementations27 Oct 2020 Mert Kilickaya, Arnold W. M. Smeulders

The structure is in the form of a 2D composition that encodes the position and the category of the objects.

Self-Selective Context for Interaction Recognition

no code implementations17 Oct 2020 Mert Kilickaya, Noureldien Hussein, Efstratios Gavves, Arnold Smeulders

Our experiments show that SSC leads to an important increase in interaction recognition performance, while using much fewer parameters.

Human-Object Interaction Detection

Continual Learning of Object Instances

1 code implementation ICML Workshop LifelongML 2020 Kishan Parshotam, Mert Kilickaya

Our extensive experiments on three large-scale datasets, using two different architectures for five different continual learning methods, reveal that Normalised cross-entropy and synthetic transfer leads to less forgetting in existing techniques.

Continual Learning Metric Learning

Re-evaluating Automatic Metrics for Image Captioning

no code implementations EACL 2017 Mert Kilickaya, Aykut Erdem, Nazli Ikizler-Cinbis, Erkut Erdem

The task of generating natural language descriptions from images has received a lot of attention in recent years.

Image Captioning

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