Empty-bucket techniques for spill-quality improvement at the CERN Super Proton Synchrotron by Arrutia Sota, PA, Fraser, MA, Hagmann, G, Kain, V, Papotti, G, Spierer, A, Velotti, FM, Burrows, PN, Piandani, R

An Effective Med-VQA Method Using a Transformer with Weights Fusion of Multiple Fine-Tuned Models by Al-Hadhrami, Suheer, Menai, Mohamed El Bachir, Al-Ahmadi, Saad, Alnafessah, Ahmad

“…This paper proposes two models that are utilized in the latest vision and NLP transformers that outperform the SOTA and have not yet been utilized in medical VQA. …”
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Hierarchical document representation for summarization by Tey, Rui Jie

“…Moreover, the proposed model is faster than SOTA models with shorter training and inference time. …”
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Anatomically plausible segmentations: explicitly preserving topology through prior deformations by Wyburd, MK, Dinsdale, NK, Jenkinson, M, Namburete, AIL

“…In this work, we present TEDS-Net: a segmentation network that preserves anatomical topology whilst maintaining segmentation performance that is competitive with SOTA baselines. Further, we show how current SOTA segmentation methods can introduce problematic topological errors. …”

TIM: a time interval machine for audio-visual action recognition by Chalk, J, Huh, J, Kazakos, E, Zisserman, A, Damen, D

“…</p> <p>We test TIM on three long audio-visual video datasets: EPIC-KITCHENS, Perception Test, and AVE, reporting state-of-the-art (SOTA) for recognition. On EPICKITCHENS, we beat previous SOTA that utilises LLMs and significantly larger pre-training by 2.9% top-1 action recognition accuracy. …”

Characterization of Newcastle disease virus (NDV) isolated from NDV vaccinated broiler farms and investigation of vaccine efficacy against challenge with Velogenic genotype VII NDV by Shahrestani, Kiarash Roohani

“…However, sentinel birds of Avinew and Dalguban N+ groups showed lower pathogenicity score compared to sentinels in LaSota group (P<0.05). Furthermore, Avinew and Dalguban N+ vaccinated chickens shed significantly (P<0.05) less virus after challenge and the viral load decreased faster than LaSota group. …”
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Bird-Count: a multi-modality benchmark and system for bird population counting in the wild by Wang, Hongchang, Lu, Huaxiang, Guo, Huimin, Jian, Haifang, Gan, Chuang, Liu, Wu

“…This paper first evaluates various state-of-the-art (SOTA) models for crowd counting on the Bird-Count and gets poor results. …”
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Unmanned aerial vehicle (UAV) object detection using YOLO detector by Guo, Huanchen

“…This dissertation comprehensively reviews mainstream object detection methods and relevant literature. YOLOv8, one of the SOTA (State Of The Art) detectors based on the deep learning framework, is implemented to fulfill the UAV based object detection task. …”
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Benchmarking novel graph neural networks by Bhagwat, Abhishek

“…In this paper, we try to introduce two novel GNNs and methods to experiment and evaluate whether these new methods are able to achieve SOTA results on existing tasks and datasets. A challenge here is to be able to reimplement generalizable versions of these architectures within the benchmark as we move towards larger datasets.…”
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Object detection in car cabin environment by Lee, Wai Yeong

“…However, many state-of-the-art (SOTA) models struggle to balance accuracy and efficiency. …”
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Explore anomaly detection and localization methods for medical imaging data by Yu, Tianze

“…Experimental evaluations on three public chest X-ray datasets demonstrate that CLGAN outperforms state-of-the-art (SOTA) anomaly detection methods significantly across various experimental settings. …”
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A CNN and diffusion based encoder-decoder model to extract fine-grained human vital waveforms from mmWave radar by Zuo, Jia

“…Experimental results demonstrate that our model, leveraging the powerful signal recovery capabilities of the diffusion model, achieves state-of-the-art (SOTA) performance, with a 51.6% reduction in Mean Absolute Error (MAE), a 51.9% reduction in Mean Squared Error (MSE), and an 18.7% improvement in the temporal correlation coefficient compared to leading 1D segmentation models.…”
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HVS-inspired adversarial image generation with high perceptual quality by Xue, Yuan, Jin, Jian, Sun, Wen, Lin, Weisi

“…Experimental results indicate that our algorithm surpasses the SOTA techniques in both subjective viewing and objective assessment on the VGGFace2 dataset.…”
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Towards efficient video-based action recognition: context-aware memory attention network by Koh, Thean Chun, Yeo, Chai Kiat, Jing, Xuan, Sivadas, Sunil

“…The proposed method achieves competitive performance compared to most SOTA 2D CNN-based methods on public datasets.…”
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