10 citations · 12 across the 10 of their papers we have counts for
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Benchmarking Composed Image Retrieval for Applied Earth Observation
Bill Psomas, Dionysis Christopoulos, Thanasis Petropoulos +6
Remote sensing composed image retrieval (RSCIR) enables search in large satellite image archives using composed queries that combine a reference image with a textual modifier. Alth…
Attention, Please! Revisiting Attentive Probing Through the Lens of Efficiency
Bill Psomas, Dionysis Christopoulos, Eirini Baltzi +6
As fine-tuning becomes impractical at scale, probing is emerging as the preferred evaluation protocol. However, standard linear probing can understate the capability of models whos…
Composed Image Retrieval for Training-Free Domain Conversion
Nikos Efthymiadis, Bill Psomas, Zakaria Laskar +4
This work addresses composed image retrieval in the context of domain conversion, where the content of a query image is retrieved in the domain specified by the query text. We show…
Evaluation of Resource-Efficient Crater Detectors on Embedded Systems
Simon Vellas, Bill Psomas, Kalliopi Karadima +5
Real-time analysis of Martian craters is crucial for mission-critical operations, including safe landings and geological exploration. This work leverages the latest breakthroughs f…
Composed Image Retrieval for Remote Sensing
Bill Psomas, Ioannis Kakogeorgiou, Nikos Efthymiadis +4
This work introduces composed image retrieval to remote sensing. It allows to query a large image archive by image examples alternated by a textual description, enriching the descr…
Has Anything Changed? 3D Change Detection by 2D Segmentation Masks
Aikaterini Adam, Konstantinos Karantzalos, Lazaros Grammatikopoulos +1
As capturing devices become common, 3D scans of interior spaces are acquired on a daily basis. Through scene comparison over time, information about objects in the scene and their…
SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers
Ioannis Kakogeorgiou, Spyros Gidaris, Konstantinos Karantzalos +1
Unsupervised object-centric learning aims to decompose scenes into interpretable object entities, termed slots. Slot-based auto-encoders stand out as a prominent method for this ta…
FLOGA: A machine learning ready dataset, a benchmark and a novel deep learning model for burnt area mapping with Sentinel-2
Maria Sdraka, Alkinoos Dimakos, Alexandros Malounis +4
Over the last decade there has been an increasing frequency and intensity of wildfires across the globe, posing significant threats to human and animal lives, ecosystems, and socio…
Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit?
Bill Psomas, Ioannis Kakogeorgiou, Konstantinos Karantzalos +1
Convolutional networks and vision transformers have different forms of pairwise interactions, pooling across layers and pooling at the end of the network. Does the latter really ne…
Transformer-based assignment decision network for multiple object tracking
Athena Psalta, Vasileios Tsironis, Konstantinos Karantzalos
Data association is a crucial component for any multiple object tracking (MOT) method that follows the tracking-by-detection paradigm. To generate complete trajectories such method…