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Nikola Đukić

3 accepted papers

2025

A Simple Framework for Open-Vocabulary Zero-Shot Segmentation

ICLR 2025poster

Zero-shot classification capabilities naturally arise in models trained within a vision-language contrastive framework. Despite their classification prowess, these models struggle in dense tasks like zero-shot open-vocabulary segmentation. This deficiency is often attributed to the absence of locali…

2025

Object-Centric Pretraining via Target Encoder Bootstrapping

ICLR 2025poster

Object-centric representation learning has recently been successfully applied to real-world datasets. This success can be attributed to pretrained non-object-centric foundation models, whose features serve as reconstruction targets for slot attention. However, targets must remain frozen throughout t…

2023

A Low-Shot Object Counting Network With Iterative Prototype Adaptation

ICCV 2023poster

We consider low-shot counting of arbitrary semantic categories in the image using only few annotated exemplars (few-shot) or no exemplars (no-shot). The standard few-shot pipeline follows extraction of appearance queries from exemplars and matching them with image features to infer the object counts…

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