Materialized-Vision/Hello_world
virginity (⭐ 0)
Vision-CAIR/MiniGPT-Med
Open-sourced code of miniGPT-Med (⭐ 139)
VisionLearningGroup/CORAL
Correlation Alignment for Domain Adaptation (⭐ 216)
Revolutionizing Traffic Management with AI-Powered Machine Vision: A Step Toward Smart Cit…
The rapid urbanization of cities and increasing vehicular congestion have posed significant challenges to traffic management and safety. This study explores the transformative potential of artificial intelligence (AI) and machine vision technologies...
Are Virgin Mary Visions Real? - Bible Study
Assumptions One of the primary assumptions regarding visions of the Virgin Mary is that those who have died are not actually dead, but rather live on as immortal souls in either heaven or hell. The …
COM Kitchens: An Unedited Overhead-view Video Dataset as a Vision-Language Benchmark
Procedural video understanding is gaining attention in the vision and language community. Deep learning-based video analysis requires extensive data. Consequently, existing works often use web videos as training resources, making it challenging to qu...
IQBench: How "Smart'' Are Vision-Language Models? A Study with Human IQ Tests
Although large Vision-Language Models (VLMs) have demonstrated remarkable performance in a wide range of multimodal tasks, their true reasoning capabilities on human IQ tests remain underexplored. To advance research on the fluid intelligence of VLMs...
MLP Architectures for Vision-and-Language Modeling: An Empirical Study
We initiate the first empirical study on the use of MLP architectures for vision-and-language (VL) fusion. Through extensive experiments on 5 VL tasks and 5 robust VQA benchmarks, we find that: (i) Without pre-training, using MLPs for multimodal fusi...
SiT: Self-supervised vIsion Transformer
Self-supervised learning methods are gaining increasing traction in computer vision due to their recent success in reducing the gap with supervised learning. In natural language processing (NLP) self-supervised learning and transformers are already t...
GMML is All you Need
Vision transformers have generated significant interest in the computer vision community because of their flexibility in exploiting contextual information, whether it is sharply confined local, or long range global. However, they are known to be data...
The Army's Vision and Strategy | The United States Army
This unclassified summary outlines the Army’s annual accomplishments, initiatives, and priorities, based on the Army Vision and Army Strategy.
Refiner: Refining Self-attention for Vision Transformers
Vision Transformers (ViTs) have shown competitive accuracy in image classification tasks compared with CNNs. Yet, they generally require much more data for model pre-training. Most of recent works thus are dedicated to designing more complex architec...
Shop Prescription Eyeglasses with Lens Advisor | Glasses.com®
Finding the right pair of prescription eyeglasses is simple with the Lens Advisor at Glasses.com. This tool helps match lenses to individual vision needs, whether it's single vision, bifocals, or progressives.
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
LLaVA-Plus is a general-purpose multimodal assistant that expands the capabilities of large multimodal models. It maintains a skill repository of pre-trained vision and vision-language models and can activate relevant tools based on users' inputs to...
uzh-rpg/event-based_vision_resources
Event-based Vision Resources. Community effort to collect knowledge on event-based vision technology (papers, workshops, datasets, code, videos, etc) (⭐ 3478)
GM-Skip: Metric-Guided Transformer Block Skipping for Efficient Vision-Language Models
Transformer-based Vision-Language Models (VLMs) have achieved impressive performance on tasks such as image captioning, object recognition, and visual reasoning, but their high computational cost hinders deployment in latency-sensitive applications l...
Skip-It? Theoretical Conditions for Layer Skipping in Vision-Language Models
Vision-language models (VLMs) achieve incredible performance across a wide range of tasks, but their large size makes inference costly. Recent work shows that selectively skipping VLM layers can improve efficiency with minimal performance loss or eve...
Revisiting semi-supervised learning in the era of foundation models
Semi-supervised learning (SSL) leverages abundant unlabeled data alongside limited labeled data to enhance learning. As vision foundation models (VFMs) increasingly serve as the backbone of vision applications, it remains unclear how SSL interacts wi...
visionandsolutions123/Cameron-McCaughey
No description (⭐ 0)
Optometrist-Troy, MI-Pearle Vision job in Troy, Michigan at ...
2 days ago · EssilorLuxottica is hiring a Optometrist-Troy, MI-Pearle Vision in Michigan. Learn more at DiversityJobs.com and apply today!
PEARLE VISION - Updated February 2026 - 17 Reviews - 8121 E ...
Yelp users haven’t asked any questions yet about Pearle Vision.
Optometrist- Marlton, NJ- Pearle Vision in Marlton, New ...
Optometrists is hiring a Optometrist- Marlton, NJ- Pearle Vision in Marlton, New Jersey. Review all of the job details and apply today!
Pearl Vision VMX All Maple 16" x 16" Floor Tom - Silver | Reverb
Pearl Vision VMX All Maple 16" x 16" Floor Tom - Silver Sparkle Lacquer. All Maple shell, 8 ply 10mm thick.With the exception of two areas with minor surface scratches, this all maple floor tom shell …
The magnitude of the effect of calf muscles fatigue on postural control during bipedal qui…
The purpose of the present experiment was to investigate whether, with vision, the magnitude of the effect of calf muscles fatigue on postural control during bipedal quiet standing depends on the eye-visual target distance. Twelve young university...
A Unified Hallucination Mitigation Framework for Large Vision-Language Models
Hallucination is a common problem for Large Vision-Language Models (LVLMs) with long generations which is difficult to eradicate. The generation with hallucinations is partially inconsistent with the image content. To mitigate hallucination, current...
Apple Vision Pro: Apple’s first spatial computer
Points: 2608 | Comments: 2843 | Author: samwillis
Spectro-ViT: A Vision Transformer Model for GABA-edited MRS Reconstruction Using Spectrogr…
Purpose: To investigate the use of a Vision Transformer (ViT) to reconstruct/denoise GABA-edited magnetic resonance spectroscopy (MRS) from a quarter of the typically acquired number of transients using spectrograms. Theory and Methods: A quarter o...
Sapiens: Foundation for Human Vision Models
We present Sapiens, a family of models for four fundamental human-centric vision tasks -- 2D pose estimation, body-part segmentation, depth estimation, and surface normal prediction. Our models natively support 1K high-resolution inference and are ex...
Wheelmax > Vision UTV-ATV-Golf
Their wheels are distributed under the Vision Wheel, Milanni and Off-Road brands throughout the United States, Mexico, Canada and Europe, and can be shipped to anywhere in the world.
Accessibility and Social Inclusivity: A Literature Review of Music Technology for Blind an…
This paper presents a systematic literature review of music technology tailored for blind and low vision (BLV) individuals. Music activities can be particularly beneficial for BLV people. However, a systematic approach to organizing knowledge on desi...
ABHIVYAKTI: A Vision Based Intelligent System for Elder and Sick Persons
This paper describes an intelligent system ABHIVYAKTI, which would be pervasive in nature and based on the Computer Vision. It would be very easy in use and deployment. Elder and sick people who are not able to talk or walk, they are dependent on oth...
StairNetV3: Depth-aware Stair Modeling using Deep Learning
Vision-based stair perception can help autonomous mobile robots deal with the challenge of climbing stairs, especially in unfamiliar environments. To address the problem that current monocular vision methods are difficult to model stairs accurately w...
SPOT: Sparsification with Attention Dynamics via Token Relevance in Vision Transformers
While Vision Transformers (ViT) have demonstrated remarkable performance across diverse tasks, their computational demands are substantial, scaling quadratically with the number of processed tokens. Compact attention representations, reflecting token...
jaredglastetter/galactic.vision
No description (⭐ 5)
Recent consumer OLED monitors can be suitable for vision science
Vision science imposes rigorous requirements for the design and execution of psychophysical studies and experiments. These requirements ensure precise control over variables, accurate measurement of perceptual responses, and reproducibility of result...
A New Simple Vision Algorithm for Detecting the Enzymic Browning Defects in Golden Delicio…
In this work, a simple vision algorithm is designed and implemented to extract and identify the surface defects on the Golden Delicious apples caused by the enzymic browning process. 34 Golden Delicious apples were selected for the experiments, of wh...
Walmart Vision Center in Westerville, OH | Eyeglasses, Contacts, Eye ...
Visit Walmart Vision Center in Westerville, OH 43081 for professional eyewear consultations, fittings, and repairs. All valid prescriptions and many insurances accepted. Enjoy ship-to-home contact lens …
Evaluating how interactive visualizations can assist in finding samples where and how comp…
Creating Computer Vision (CV) models remains a complex practice, despite their ubiquity. Access to data, the requirement for ML expertise, and model opacity are just a few points of complexity that limit the ability of end-users to build, inspect, an...
VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street…
Incremental decision making in real-world environments is one of the most challenging tasks in embodied artificial intelligence. One particularly demanding scenario is Vision and Language Navigation~(VLN) which requires visual and natural language un...
A Survey on Infrared Image and Video Sets
In this survey, we compile a list of publicly available infrared image and video sets for artificial intelligence and computer vision researchers. We mainly focus on IR image and video sets which are collected and labelled for computer vision applica...