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221
Part-Based Visual Tracking via Online Weighted P-N Learning
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222
Computer Vision-Based Obstacle Detection Mobile System for Visually Impaired Individuals
Published 2025-05-01“…Traditional tools, such as canes, are no longer enough to subsist the mobility and orientation of visually impaired people in complex environments. Therefore, technological solutions based on computer vision tasks are presented as promising alternatives to help detect obstacles. …”
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223
SAVE: Self-Attention on Visual Embedding for Zero-Shot Generic Object Counting
Published 2025-02-01“…By exploiting feature maps from a pre-trained detection-based backbone, we introduce a new Visual Embedding Module designed to generate semantic embeddings within object contextual information. …”
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224
Reconstructing feedback representations in the ventral visual pathway with a generative adversarial autoencoder.
Published 2021-03-01“…We hypothesized that the feedback processes in the ventral visual pathway can be represented by reconstruction of the visual information performed by the generative model. …”
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225
Visual screening in orthogeriatric rehabilitation setting: a single centre pilot study
Published 2025-07-01“…Informed verbal consent was obtained. A resident doctor, trained by a consultant optometrist from Manchester Royal Eye Hospital, performed the assessments. …”
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226
All-or-none activity as a correlate of object awareness in monkey visual cortex
Published 2014-01-01“…One macaque monkey was trained to perform an animal/non-animal categorization task. …”
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227
CLIP-Llama: A New Approach for Scene Text Recognition with a Pre-Trained Vision-Language Model and a Pre-Trained Language Model
Published 2024-11-01“…As research in scene text recognition requires substantial linguistic knowledge, we introduce the pre-trained vision-language model CLIP and the pre-trained language model Llama. …”
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228
Evaluation of Tone Quality in Piano Performance by Sight and Sound: A Performer's Perspective
Published 2024-12-01“…In the present study, a classically trained pianist aimed to investigate whether the visual cues in her performance influenced observers’ evaluation of her singing tone quality. …”
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229
CriSALAD: Robust Visual Place Recognition Using Cross-Image Information and Optimal Transport Aggregation
Published 2025-05-01“…Visual place recognition (VPR) is crucial for enabling autonomous agents to accurately localize themselves within a known environment. …”
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230
Designing and Evaluating a Dual-Stream Transformer-Based Architecture for Visual Question Answering
Published 2024-01-01“…This paper presents a novel Dual-stream architecture for VQA, whose parameters have been rigorously tested and evaluated not only for performance, but also for GPU memory consumption and training time. …”
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231
Typography and rhythm-declamation in the Soviet avant-garde: towards a synthesis of image and sound
Published 2025-07-01“…Avant-garde text leaves the printed page and enters urban environments—storefronts, posters, banners, and propaganda trains—forming a large-scale visual-soundscape of collective action. …”
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232
A Transfer Learning Approach for Landslide Semantic Segmentation Based on Visual Foundation Model
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233
Visual impairment prevention by early detection of diabetic retinopathy based on stacked auto-encoder
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234
Deep learning for the classification of atrial fibrillation using wavelet transform-based visual images
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235
Image data-driven intelligent recognition of permafrost strength and feature visualization based analysis
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Fatigue impact of mixed reality in mass casualty incidents training
Published 2025-07-01“…Medical professionals reported higher levels of visual fatigue compared to other professions involved in the training. …”
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238
Sailing together: challenges for an inclusive team of visually impaired and sighted athletes at Kiel Week
Published 2025-06-01“…Pauli Segeln, which enables people with and without disabilities to pursue sailing together in a performance-oriented manner as part of training and regattas. …”
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239
Embedding-based pair generation for contrastive representation learning in audio-visual surveillance data
Published 2025-01-01“…As data annotation is expensive, self-supervised methods such as contrastive learning are used to learn audio-visual representations for downstream tasks. Focusing on surveillance data, we investigate two common limitations of audio-visual contrastive learning: false negatives and the minimal sufficient information bottleneck. …”
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240
A Garbage Detection and Classification Method Based on Visual Scene Understanding in the Home Environment
Published 2021-01-01“…Garbage classification is a social issue related to people’s livelihood and sustainable development, so letting service robots autonomously perform intelligent garbage classification has important research significance. …”
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