refrigerator
A Details of Data Augmentation with External Knowledge Resources 486 4 Enhance Relation Recognition: We enriched the relationships between objects parsed from the
The hyperparameters for training are detailed in Table 7. We perform the human evaluation on two of the four in-depth knowledge quality assessment metrics. V alidity ( "): whether the generated visual knowledge is valid to humans . Conformity ( "): whether the generated knowledge faithfully depicts the scenarios in the images . Our calculated average pairwise Cohen's Suppose you are looking at an image that contains the following subject and object entities: Subject list: [Insert the subject names here] Object list: [Insert the object names here] Please extract 5-10 condensed descriptions that describe the interactions and/or relations among those entities in the image.
SupplementaryMaterialfor HandMeThat: Human-RobotCommunication inPhysicalandSocialEnvironments
In Section B, we summarize the statistics of the dataset. A.1 ObjectSpace Recall that HandMeThat uses an object-centric representation for states. Object hierarchy.HandMeThat classifies all categories into 5classes: location, receptacle, food, tool,andthing. Each class (except for"location") iscomposed ofmultiple subclasses, and each subclass contains several object categories. Intotal, there are155 object categories.
31fb284a0aaaad837d2930a610cd5e50-Supplemental-Conference.pdf
In our work, we study the video-language pretraining in a specific yet significant domain - the 1st-person view,which ismotivated bytherelease oftheEgo4D dataset. Thevarying clipfrequencies aremainly dependent on manual narrations that are annotated based on the video scenarios and activities. There have average 13.4 clips per minute of video, maximize to175.8 Fig.6(b)displays the distribution of clip duration. In Figure 1 (c), we present the distribution of narration words length.
- South America > Colombia (0.05)
- North America > United States > Minnesota (0.05)
- North America > United States > Indiana (0.05)
- (5 more...)
1cc70be9fb6a83bc46cf4ac21a91e0b0-Supplemental-Conference.pdf
In this section, we provide the class assignment of all datasets under different missing rates. The proposed setting is anew multi-task learning scenario. Its practical applications could not be limited by the mentioned assumption in the testing space. Table B.2: The observed classes of each task onOffice-Caltech with different missing rates. Office-Home [9] contains images from four domains/tasks: Artistic, Clipart, Product and Realworld. Skin-Lesion contains three skin lesion classification tasks: HAM10000 [8], Dermofit [2] and Derm7pt[5].
Samsung Bespoke Fridge with AI review: All the bells and whistles
How to claim Verizon's $20 outage credit While Samsung's AI Vision and food tracking is a work in progress, it can still be genuinely useful. At their core, refrigerators are relatively simple devices. If you're the type of person to view every extra feature as a component that could potentially go wrong, basic iceboxes are probably the kind you go for. But for those on the other end of the spectrum, Samsung's latest Bespoke Refrigerators with AI inside have more bells and whistles than you might think possible -- including an optional 32-inch screen. The model we tested for this review came out in the second half of 2025 and will continue to be on sale throughout 2026. Hardware will remain the same, the only changes will come in the form of an OTA software update slated for later this year that will add support for Google Gemini, improved food recognition/labeling and more.
- Information Technology > Artificial Intelligence (1.00)
- Information Technology > Communications > Mobile (0.69)
IS-Bench: Evaluating Interactive Safety of VLM-Driven Embodied Agents in Daily Household Tasks
Lu, Xiaoya, Chen, Zeren, Hu, Xuhao, Zhou, Yijin, Zhang, Weichen, Liu, Dongrui, Sheng, Lu, Shao, Jing
Flawed planning from VLM-driven embodied agents poses significant safety hazards, hindering their deployment in real-world household tasks. However, existing static, non-interactive evaluation paradigms fail to adequately assess risks within these interactive environments, since they cannot simulate dynamic risks that emerge from an agent's actions and rely on unreliable post-hoc evaluations that ignore unsafe intermediate steps. To bridge this critical gap, we propose evaluating an agent's interactive safety: its ability to perceive emergent risks and execute mitigation steps in the correct procedural order. We thus present IS-Bench, the first multi-modal benchmark designed for interactive safety, featuring 161 challenging scenarios with 388 unique safety risks instantiated in a high-fidelity simulator. Crucially, it facilitates a novel process-oriented evaluation that verifies whether risk mitigation actions are performed before/after specific risk-prone steps. Extensive experiments on leading VLMs, including the GPT-4o and Gemini-2.5 series, reveal that current agents lack interactive safety awareness, and that while safety-aware Chain-of-Thought can improve performance, it often compromises task completion. By highlighting these critical limitations, IS-Bench provides a foundation for developing safer and more reliable embodied AI systems. Code and data are released under https://github.com/AI45Lab/IS-Bench.
The Home Depot is blowing out power tools, appliances, and more for the lowest prices of the year during its fall sale
Amazon Prime Day is live. See the best deals HERE. Amazon Prime Day may get most of the attention, but The Home Depot's deals are worth your time and money--especially if you like tools or appliances. We may earn revenue from the products available on this page and participate in affiliate programs. You've almost certainly seen all of the Amazon Prime Big Deal Days coverage floating around, but Bezos isn't the only game in town right now when it comes to serious savings.