Superior monocular visual function but compromised binocular balance in precision shooters compared to age and refraction matched controls by Izabela K. Garaszczuk, Wiktoria Jenczewska, Magdalena Asejczyk

“…Tailored visual training programs may enhance performance and mitigate training-induced imbalances.…”
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Visual Perceptual Learning of Form–Motion Integration: Exploring the Involved Mechanisms with Transfer Effects and the Equivalent Noise Approach by Rita Donato, Adriano Contillo, Gianluca Campana, Marco Roccato, Óscar F. Gonçalves, Andrea Pavan

“…Finally, an interaction between visual stimulus type and session for sampling efficiency revealed that the effect of training session on participants’ performance varied depending on the type of visual stimulus, with dynamic GPs being influenced differently than mRDKs. …”
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Metronome-guided Rhythmic Auditory Stimulation with Visual Feedback for Fall Prevention in Elderly: A Randomised Controlled Trial by Abha Khisty, Zafar Azeem, Tushar Palekar

“…The IG underwent a 4-week training protocol, while the CG did not receive any treatment. …”
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Visually Secure Deep Joint Source-Channel Coding With Chaotic Map Against Deep Known-Plaintext Attack by Yuyang Fu, Katsuya Suto

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Visual delta generation with large multi-modal models enhances composed image retrieval using unlabeled data by Young Kyun Jang, Donghyun Kim

“…Our method involves training a large language model-based Visual Delta Generator (VDG) to produce textual descriptions of the visual differences (i.e., visual deltas) between these images. …”
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Multi-Comparison of Different Ocular Imaging Modality-based Deep Learning Models for Visually Significant Cataract Detection by Jocelyn Hui Lin Goh, BEng, Xiaofeng Lei, MSc, Miao-Li Chee, MPH, Yiming Qian, PhD, Marco Yu, PhD, Tyler Hyungtaek Rim, MD, PhD, Simon Nusinovici, PhD, David Ziyou Chen, MBBS, FRCOphth, Kai Hui Koh, BSc, Samantha Min Er Yew, BSc, Yibing Chen, BEng, Victor Teck Chang Koh, MBBS, MMed, Charumathi Sabanayagam, MD, PhD, Tien Yin Wong, MD, PhD, Xinxing Xu, PhD, Rick Siow Mong Goh, PhD, Yong Liu, PhD, Ching-Yu Cheng, MD, PhD, Yih-Chung Tham, PhD

“…Methods: We developed 3 single-modality DL models (retinal, slit beam, and diffuse anterior segment photos) and 4 ensemble models (4 different combinations of the 3 single-modality models) to detect visually significant cataract (VSC). We defined eyes with VSC as having significant cataract (based on the modified Wisconsin cataract grading system) with a best-corrected visual acuity of <20/60. …”
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The effect of visual feedback on balance rehabilitation in people with impaired ankle instability: a systematic review and meta-analysis by Chuan qiu shui Wang, Kun Wang, Liang Sun, Shi qi Liu, Jiong Luo

“…Abstract Background Ankle instability is a consequence of ankle injuries that can impair balance and affect an individual’s ability to perform activities of daily living. Consequently, visual feedback is frequently employed in rehabilitation to enhance training outcomes. …”
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Img2Neuro: brain-trained neural activity encoders for enhanced object recognition by Mona A Aboelnaga, Mohamed W El-Kharashi, Seif Eldawlatly

“…Img2Neuro is trained on natural scene images paired with single-neuron recordings from the visual cortex and thalamus of mice and monkeys. …”
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GenVFNet: Generating Visual Field From Optical Coherence Tomography Angiography by Conditional Generative Adversarial Networks by Anita Manassakorn, Supatana Auethavekiat, Vera Sa-Ing, Sunee Chansangpetch, Kitiya Ratanawongphaibul, Nopphawan Uramphorn, Visanee Tantisevi

“…Only eyes with a visual field (VF) compatible with optic disc photograph (DP) and/or optical coherence tomography (OCT) were used. 100 eyes (90.9%) were used for training and the remaining 10 eyes (9.1%) for testing. …”
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Aligning visual imagery to the operator improves geospatial situation awareness in a single-display 360-degree periscope concept by Jason Bell, Zachary Howard, Stephen Pond, Troy Visser, Madison Fitzgerald, Megan Schmitt, Shayne Loft, Steph Michailovs

“…However, that research has yet to consider the importance of alignment between the visual representation of the environment on the periscope display and the operator themselves (i.e. the visual field compatibility principle). …”
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Visual Perturbation to Enhance Return to Sport Rehabilitation after Anterior Cruciate Ligament Injury: A Clinical Commentary by Timothy R Wohl, Cody R Criss, Dustin R Grooms

“…This gap in rehabilitation may be filled by visual perturbation training, which may reweight sensory neural processing toward proprioception and reduce the dependency on vision to perform lower extremity motor tasks and/or increase visuomotor processing efficiency. …”
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Class Concept Representation From Contextual Texts for Training-Free Multi-Label Recognition by Dong Un Kang, Hyunwoo Lee, Se Young Chun

“…The power of large vision-language models (VLMs) has been demonstrated for downstream vision tasks, including multi-label recognition (MLR) with a training-free approach or prompt tuning by measuring the cosine similarity between the text features related to class names and the visual features of the images. …”
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Multi-Task Supervised Alignment Pre-Training for Few-Shot Multimodal Sentiment Analysis by Junyang Yang, Jiuxin Cao, Chengge Duan

“…Our approach uses a multi-task training method—incorporating image classification, image style recognition, and image captioning—to extract modal-shared information and stronger semantics to improve visual representation. …”
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Research on Weakly Supervised Face Segmentation Technology Based on Visual Large Models in New Media Post-Production by Baihui Tang, Sanxing Cao

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Distance visual acuity in air force pilots and student pilots when exposed to +Gz acceleration in human centrifuge by Ranđelović Danijela, Srećković Sunčica, Šarenac-Vulović Tatjana, Petrović Nenad

“…Since change in distance visual acuity is the most sensitive physiological indicator when exposed to high acceleration, individual physiological pilot training in the human centrifuge increases tolerance to accelerations, which is important for flight safety in both peacetime and combat conditions.…”
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Interpretable Deep Learning Model for Grape Leaf Disease Classification Based on EfficientNet with Grad-CAM Visualization by Castaka Agus Sugianto, Dini Rohmayani, Jhoanne Fredricka, Mohamed Doheir

“…Further analysis using a confusion matrix and Grad-CAM visualization provided insights into the model’s decision-making process. …”
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Modeling Visual Fatigue in Remote Tower Air Traffic Controllers: A Multimodal Physiological Data-Based Approach by Ruihan Liang, Weijun Pan, Qinghai Zuo, Chen Zhang, Shenhao Chen, Sheng Chen, Leilei Deng

“…The model achieved an average balanced accuracy of 0.92 and an F1 score of 0.90 under 12-fold cross-validation, demonstrating excellent predictive performance. The high-ranking features spanned four modalities, revealing typical physiological patterns of visual fatigue across ocular behavior, cortical activity, autonomic regulation, and arousal level. …”
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Dual-Stream Contrastive Learning for Medical Visual Representations Using Synthetic Images Generated by Latent Diffusion Model by Weitao Ye, Longfu Zhang, Xiaoben Jiang, Dawei Yang, Yu Zhu

“…For lesions segmentation, our DCL-CsTP method attains 89.73% dice coefficient on the International Skin Imaging Collaboration 2018 (ISIC 2018) dataset and 82.50% dice coefficient on the Kvasir-SEG dataset. The performance superiority of the model pre-trained by DCL-CsTP is conclusively demonstrated through the above experiments on various dataset, which shows that DCL-CsTP can enhance diagnostic precision and alleviate radiologists&#x2019; image screening burdens.…”
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Developing expert gaze pattern in laparoscopic surgery requires more than behavioral training by Sicong Liu, Rachel Donaldson, Ashwin Subramaniam, Hannah Palmer, Cosette D. Champion, Morgan L. Cox, L. Gregory Appelbaum

“…Despite this equivalence in behavioral performance, surgeons continued to show significantly shorter dwell durations at visual targets of current actions and longer dwell durations at future steps in the action sequence than trained novices (ps ≤ .03, Cohen’s ds > 2). …”
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Gamification of motor imagery brain-computer interface training protocols: A systematic review by Fred Atilla, Marie Postma, Maryam Alimardani

“…The prevalence and reported effects of individual game elements on user experience and performance were extracted and synthesized. Results reveal that MI-BCI training protocols are most often gamified by having users move an avatar in a virtual environment that provides visual feedback. …”
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