Guardado en:
| Autores principales: | Kněžík, Jan, Herec, Jonáš, Pitoňák, Rado |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2509.20991 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Optimizing Methane Detection On Board Satellites: Speed, Accuracy, and Low-Power Solutions for Resource-Constrained Hardware
por: Herec, Jonáš, et al.
Publicado: (2025)
por: Herec, Jonáš, et al.
Publicado: (2025)
Towards Onboard Continuous Change Detection for Floods
por: Kyselica, Daniel, et al.
Publicado: (2026)
por: Kyselica, Daniel, et al.
Publicado: (2026)
FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation
por: Liu, Dong, et al.
Publicado: (2025)
por: Liu, Dong, et al.
Publicado: (2025)
Deep Learning for In-Orbit Cloud Segmentation and Classification in Hyperspectral Satellite Data
por: Kovac, Daniel, et al.
Publicado: (2024)
por: Kovac, Daniel, et al.
Publicado: (2024)
VLM in a flash: I/O-Efficient Sparsification of Vision-Language Model via Neuron Chunking
por: Yang, Kichang, et al.
Publicado: (2025)
por: Yang, Kichang, et al.
Publicado: (2025)
SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device
por: Wu, Yushu, et al.
Publicado: (2024)
por: Wu, Yushu, et al.
Publicado: (2024)
Revisiting 16-bit Neural Network Training: A Practical Approach for Resource-Limited Learning
por: Yun, Juyoung, et al.
Publicado: (2023)
por: Yun, Juyoung, et al.
Publicado: (2023)
A Closer Look at Data Augmentation Strategies for Finetuning-Based Low/Few-Shot Object Detection
por: Li, Vladislav, et al.
Publicado: (2024)
por: Li, Vladislav, et al.
Publicado: (2024)
Zero-Shot, But at What Cost? Unveiling the Hidden Overhead of MILS's LLM-CLIP Framework for Image Captioning
por: Benhammou, Yassir, et al.
Publicado: (2025)
por: Benhammou, Yassir, et al.
Publicado: (2025)
Dual-Signal Adaptive KV-Cache Optimization for Long-Form Video Understanding in Vision-Language Models
por: Sai, Vishnu, et al.
Publicado: (2026)
por: Sai, Vishnu, et al.
Publicado: (2026)
Spatially-Aware Evaluation of Segmentation Uncertainty
por: Zeevi, Tal, et al.
Publicado: (2025)
por: Zeevi, Tal, et al.
Publicado: (2025)
Class Confidence Aware Reweighting for Long Tailed Learning
por: Jagati, Brainard Philemon, et al.
Publicado: (2026)
por: Jagati, Brainard Philemon, et al.
Publicado: (2026)
Multi-domain performance analysis with scores tailored to user preferences
por: Piérard, Sébastien, et al.
Publicado: (2025)
por: Piérard, Sébastien, et al.
Publicado: (2025)
SpargeAttention: Accurate and Training-free Sparse Attention Accelerating Any Model Inference
por: Zhang, Jintao, et al.
Publicado: (2025)
por: Zhang, Jintao, et al.
Publicado: (2025)
What Is the Optimal Ranking Score Between Precision and Recall? We Can Always Find It and It Is Rarely $F_1$
por: Piérard, Sébastien, et al.
Publicado: (2025)
por: Piérard, Sébastien, et al.
Publicado: (2025)
Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging
por: Ali, Mazen, et al.
Publicado: (2025)
por: Ali, Mazen, et al.
Publicado: (2025)
Characterizing Accuracy Trade-offs of EEG Applications on Embedded HMPs
por: Taufique, Zain, et al.
Publicado: (2024)
por: Taufique, Zain, et al.
Publicado: (2024)
Cost-Effective Model Evaluation with Meta-Learning
por: Pham, Trinh, et al.
Publicado: (2026)
por: Pham, Trinh, et al.
Publicado: (2026)
Model Quantization and Hardware Acceleration for Vision Transformers: A Comprehensive Survey
por: Du, Dayou, et al.
Publicado: (2024)
por: Du, Dayou, et al.
Publicado: (2024)
Shedding the Bits: Pushing the Boundaries of Quantization with Minifloats on FPGAs
por: Aggarwal, Shivam, et al.
Publicado: (2023)
por: Aggarwal, Shivam, et al.
Publicado: (2023)
SageAttention3: Microscaling FP4 Attention for Inference and An Exploration of 8-Bit Training
por: Zhang, Jintao, et al.
Publicado: (2025)
por: Zhang, Jintao, et al.
Publicado: (2025)
ASI: Accuracy-Stability Index for Evaluating Deep Learning Models
por: Dai, Wei, et al.
Publicado: (2023)
por: Dai, Wei, et al.
Publicado: (2023)
PipeFusion: Patch-level Pipeline Parallelism for Diffusion Transformers Inference
por: Fang, Jiarui, et al.
Publicado: (2024)
por: Fang, Jiarui, et al.
Publicado: (2024)
snnTrans-DHZ: A Lightweight Spiking Neural Network Architecture for Underwater Image Dehazing
por: Sudevan, Vidya, et al.
Publicado: (2025)
por: Sudevan, Vidya, et al.
Publicado: (2025)
SageAttention2: Efficient Attention with Thorough Outlier Smoothing and Per-thread INT4 Quantization
por: Zhang, Jintao, et al.
Publicado: (2024)
por: Zhang, Jintao, et al.
Publicado: (2024)
Investigation of Energy-efficient AI Model Architectures and Compression Techniques for "Green" Fetal Brain Segmentation
por: Mazurek, Szymon, et al.
Publicado: (2024)
por: Mazurek, Szymon, et al.
Publicado: (2024)
Doppler-Enhanced Deep Learning: Improving Thyroid Nodule Segmentation with YOLOv5 Instance Segmentation
por: Hussieni, Mahmoud El
Publicado: (2025)
por: Hussieni, Mahmoud El
Publicado: (2025)
Inf-MLLM: Efficient Streaming Inference of Multimodal Large Language Models on a Single GPU
por: Ning, Zhenyu, et al.
Publicado: (2024)
por: Ning, Zhenyu, et al.
Publicado: (2024)
Avoid Forgetting by Preserving Global Knowledge Gradients in Federated Learning with Non-IID Data
por: Chunduru, Abhijit, et al.
Publicado: (2025)
por: Chunduru, Abhijit, et al.
Publicado: (2025)
Twill: Scheduling Compound AI Systems on Heterogeneous Mobile Edge Platforms
por: Taufique, Zain, et al.
Publicado: (2025)
por: Taufique, Zain, et al.
Publicado: (2025)
Metrics and evaluations for computational and sustainable AI efficiency
por: Liu, Hongyuan, et al.
Publicado: (2025)
por: Liu, Hongyuan, et al.
Publicado: (2025)
Fast Training of Diffusion Models with Masked Transformers
por: Zheng, Hongkai, et al.
Publicado: (2023)
por: Zheng, Hongkai, et al.
Publicado: (2023)
Sensor-Adaptive Flood Mapping with Pre-trained Multi-Modal Transformers across SAR and Multispectral Modalities
por: Tanaka, Tomohiro, et al.
Publicado: (2025)
por: Tanaka, Tomohiro, et al.
Publicado: (2025)
An Enhanced Classification Method Based on Adaptive Multi-Scale Fusion for Long-tailed Multispectral Point Clouds
por: Liu, TianZhu, et al.
Publicado: (2024)
por: Liu, TianZhu, et al.
Publicado: (2024)
LiDAR-BIND-T: Improved and Temporally Consistent Sensor Modality Translation and Fusion for Robotic Applications
por: Balemans, Niels, et al.
Publicado: (2025)
por: Balemans, Niels, et al.
Publicado: (2025)
Bridging Remote Sensors with Multisensor Geospatial Foundation Models
por: Han, Boran, et al.
Publicado: (2024)
por: Han, Boran, et al.
Publicado: (2024)
QuickGrasp: Responsive Video-Language Querying Service via Accelerated Tokenization and Edge-Augmented Inference
por: Zhang, Miao, et al.
Publicado: (2026)
por: Zhang, Miao, et al.
Publicado: (2026)
HARMamba: Efficient and Lightweight Wearable Sensor Human Activity Recognition Based on Bidirectional Mamba
por: Li, Shuangjian, et al.
Publicado: (2024)
por: Li, Shuangjian, et al.
Publicado: (2024)
Increasing the Robustness of Model Predictions to Missing Sensors in Earth Observation
por: Mena, Francisco, et al.
Publicado: (2024)
por: Mena, Francisco, et al.
Publicado: (2024)
IMAFD: An Interpretable Multi-stage Approach to Flood Detection from time series Multispectral Data
por: Zhang, Ziyang, et al.
Publicado: (2024)
por: Zhang, Ziyang, et al.
Publicado: (2024)
Ejemplares similares
-
Optimizing Methane Detection On Board Satellites: Speed, Accuracy, and Low-Power Solutions for Resource-Constrained Hardware
por: Herec, Jonáš, et al.
Publicado: (2025) -
Towards Onboard Continuous Change Detection for Floods
por: Kyselica, Daniel, et al.
Publicado: (2026) -
FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation
por: Liu, Dong, et al.
Publicado: (2025) -
Deep Learning for In-Orbit Cloud Segmentation and Classification in Hyperspectral Satellite Data
por: Kovac, Daniel, et al.
Publicado: (2024) -
VLM in a flash: I/O-Efficient Sparsification of Vision-Language Model via Neuron Chunking
por: Yang, Kichang, et al.
Publicado: (2025)