NFPA 25, Standard for the Inspection, Testing, and Maintenance of 2026 PB
NFPA 25, Standard for the Inspection, Testing, and Maintenance of 2026 PB. Condition is Brand New. Shipped with USPS Media Mail.
NFPA 25, Standard for the Inspection, Testing, and Maintenance of 2026 PB. Condition is Brand New. Shipped with USPS Media Mail.
Health & Beauty.
Subtitle Milan, Italy, September 29–October 4, 2024, Proceedings, Part IX. - Lightweight Deep Learning Model for Defective Pixel Detection and Recovery from the Image Sensors. - IPAdapter-Instruct: Resolving Ambiguity in Image-based Conditioning using Instruct Prompts.
Subtitle Milan, Italy, September 29–October 4, 2024, Proceedings, Part XIX. Practical Dataset Distillation Based on Deep Support Vectors. - DiM: Distilling Dataset into Generative Model. - Data-Efficient Generation for Dataset Distillation.
Health & Beauty.
Subtitle Milan, Italy, September 29–October 4, 2024, Proceedings, Part XI. DARES: Depth Anything in Robotic Endoscopic Surgery with Self-supervised Vector LoRA of the Foundation Model. - LocalMamba: Visual State Space Model with Windowed Selective Scan.
Subtitle Milan, Italy, September 29–October 4, 2024, Proceedings, Part VII. Series Lecture Notes in Computer Science. Alternative 9783031917677. Country of Origin NL. UK Release Date 2025-05-27. DEWEY 006.37.
Subtitle Milan, Italy, September 29–October 4, 2024, Proceedings, Part IX. - Lightweight Deep Learning Model for Defective Pixel Detection and Recovery from the Image Sensors. - IPAdapter-Instruct: Resolving Ambiguity in Image-based Conditioning using Instruct Prompts.
Subtitle Milan, Italy, September 29–October 4, 2024, Proceedings, Part XI. DARES: Depth Anything in Robotic Endoscopic Surgery with Self-supervised Vector LoRA of the Foundation Model. - LocalMamba: Visual State Space Model with Windowed Selective Scan.
Larval Hostplant Prediction from Luehdorfia japonica Image using Multi-label ABN. - Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation. - Underwater Uncertainty: A Multi-Annotator Image Dataset for Benthic Habitat Classification.