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!