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ILIAS is a large-scale test dataset for evaluation on Instance-Level Image retrieval At Scale. It is designed to support future research in image-to-image and text-to-image retrieval for particular objects and serves as a benchmark for evaluating representations of foundation or customized vision and vision-language models, as well as specialized retrieval techniques.
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"31 Ways to Contact How can i speak to someone at Expedia Airlines- A Step-by-Step Guide Expedia main customer service number 1 (888) 829-0881 is 1-800-Expedia or 1 (888) 829-0881 [US-Expedia] or 1 (888) 829-0881 [UK-Expedia] OTA (Live Person), available 24/7. This guide explains how to contact Expedia customer service effectively through phone, chat, and email options, including tips for minimizing wait times. Why Contact a Live Person at Expedia? Flight changes or cancellations: Get help adjusting or canceling flights. Booking clarification:1 (888) 829-0881(OR)+1-805-330-4056 Assistance with understanding your booking details. Refunds and compensation: Live agents can help with complex cases. Technical glitches: Resolve booking or payment issues quickly. Expedia Contact Options There are several ways to contact Expedia customer service: Phone: Call 1 (888) 829-0881(OR)+1-805-330-4056 and follow the prompts or press ""0"" to reach an agent. Live Chat: Go to Expedia' website Help secti
DINOS (Diverse INdustrial Operation Sounds) is a large-scale, open-access dataset consisting of over 74,000 audio samples totaling more than 1,093 hours, collected from a wide range of industrial acoustic scenarios. It covers diverse manufacturing processes, materials, and operating conditions to comprehensively represent industrial sound characteristics. The dataset includes recordings from CNC cutting operations, additive manufacturing (AM) processes, and designed anomaly scenarios. For cutting, data were collected from two CNC machines: Haas VF-2 and Yornew VMC-300. The VF-2 recordings capture inactive, machining, and warm-up states, while the VMC-300 machines aluminum (Al-6060) under varying spindle speeds and feed rates to induce chatter—a self-excited vibration that excites the system’s natural frequencies, degrading surface finish and tool life. Additional, unlabeled machining sounds were acquired from an APEC SK2540 CNC system. For AM processes, DINOS includes data from Renisha
Why is Allegiant's phone number always busy? The Allegiant phone number + 1-(801)-855-(5905).. or ++ 1-(801)-855-(5905).. (No Hold) may be consistently busy due to a high volume of customer inquiries, particularly during peak travel seasons or times of significant flight disruptions.
GIE-Bench is a benchmark designed to evaluate text-guided image editing models across two critical dimensions:
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Discover the most cited and impactful AI research papers. Visualize interactive citation graphs, explore research connections, and navigate through paper networks across machine learning, computer vision, and natural language processing.
Kaiming He
X. Zhang
Shaoqing Ren
This work presents a residual learning framework to ease the training of networks that are substantially deeper than those used previously, and provides comprehensive empirical evidence showing that these residual networks are easier to optimize, and can gain accuracy from considerably increased depth.
Nikhila Ravi
Wan-Yen Lo
Ross B. Girshick
Laura Gustafson
Chloé Rolland
+7The Segment Anything Model (SAM) is introduced: a new task, model, and dataset for image segmentation, and its zero-shot performance is impressive – often competitive with or even superior to prior fully supervised results.
S. McKinney
Todor Markov
Jacob Menick
I. Sutskever
N. Keskar
+274GPT-4, a large-scale, multimodal model which can accept image and text inputs and produce text outputs, is developed, a Transformer-based model pre-trained to predict the next token in a document which exhibits human-level performance on various professional and academic benchmarks.
Zewar Shah
Shan Zhiyong
Adnan
This project aims to provide an efficient and robust real-time emotion identification framework that makes use of paralinguistic factors such as intensity, pitch, and MFCC and employs Diffusion Map to reduce data redundancy and high dimensionality.
Noam Shazeer
Ashish Vaswani
Lukasz Kaiser
Jakob Uszkoreit
Niki Parmar
+3A new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely is proposed, which generalizes well to other tasks by applying it successfully to English constituency parsing both with large and limited training data.
Yuhai Wu
This chapter presents techniques for statistical machine learning using Support Vector Machines (SVM) to recognize the patterns and classify them, predicting structured objects using SVM, k-nearest neighbor method for classification, and Naive Bayes classifiers.