Image de couverture de livre

CRAM: Large-scale Video Continual Learning with Bootstrapped Compression

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Mall, Shivani, Henriques, Joao F.
Format:	Preprint
Publié:	2025
Sujets:	Computer Vision and Pattern Recognition Machine Learning Performance
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

On the Dangers of Bootstrapping Generation for Continual Learning and Beyond
par: Zverev, Daniil, et autres
Publié: (2025)

Interpretable Representation Learning from Videos using Nonlinear Priors
par: Longa, Marian, et autres
Publié: (2024)

Adaptive Iterative Compression for High-Resolution Files: an Approach Focused on Preserving Visual Quality in Cinematic Workflows
par: Melo, Leonardo, et autres
Publié: (2025)

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization
par: Jafari, Sadegh, et autres
Publié: (2025)

Using MLIR Transform to Design Sliced Convolution Algorithm
par: Ferrari, Victor, et autres
Publié: (2025)

PEVLM: Parallel Encoding for Vision-Language Models
par: Kang, Letian, et autres
Publié: (2025)

A Study on Inference Latency for Vision Transformers on Mobile Devices
par: Li, Zhuojin, et autres
Publié: (2025)

Optimizing Methane Detection On Board Satellites: Speed, Accuracy, and Low-Power Solutions for Resource-Constrained Hardware
par: Herec, Jonáš, et autres
Publié: (2025)

A Hitchhiker's Guide to Understanding Performances of Two-Class Classifiers
par: Halin, Anaïs, et autres
Publié: (2024)

Foundations of the Theory of Performance-Based Ranking
par: Piérard, Sébastien, et autres
Publié: (2024)

The Tile: A 2D Map of Ranking Scores for Two-Class Classification
par: Piérard, Sébastien, et autres
Publié: (2024)

R2 Loss: Range Restriction Loss for Model Compression and Quantization
par: Kundu, Arnav, et autres
Publié: (2023)

Dual-Signal Adaptive KV-Cache Optimization for Long-Form Video Understanding in Vision-Language Models
par: Sai, Vishnu, et autres
Publié: (2026)

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device
par: Wu, Yushu, et autres
Publié: (2024)

Learning Using Privileged Information for Litter Detection
par: Bartolo, Matthias, et autres
Publié: (2025)

Class Confidence Aware Reweighting for Long Tailed Learning
par: Jagati, Brainard Philemon, et autres
Publié: (2026)

Revisiting 16-bit Neural Network Training: A Practical Approach for Resource-Limited Learning
par: Yun, Juyoung, et autres
Publié: (2023)

Fast-SEnSeI: Lightweight Sensor-Independent Cloud Masking for On-board Multispectral Sensors
par: Kněžík, Jan, et autres
Publié: (2025)

Zero-Shot, But at What Cost? Unveiling the Hidden Overhead of MILS's LLM-CLIP Framework for Image Captioning
par: Benhammou, Yassir, et autres
Publié: (2025)

NeRFlex: Resource-aware Real-time High-quality Rendering of Complex Scenes on Mobile Devices
par: Wang, Zhe, et autres
Publié: (2025)

Spatially-Aware Evaluation of Segmentation Uncertainty
par: Zeevi, Tal, et autres
Publié: (2025)

VLM in a flash: I/O-Efficient Sparsification of Vision-Language Model via Neuron Chunking
par: Yang, Kichang, et autres
Publié: (2025)

Multi-domain performance analysis with scores tailored to user preferences
par: Piérard, Sébastien, et autres
Publié: (2025)

SpargeAttention: Accurate and Training-free Sparse Attention Accelerating Any Model Inference
par: Zhang, Jintao, et autres
Publié: (2025)

What Is the Optimal Ranking Score Between Precision and Recall? We Can Always Find It and It Is Rarely $F_1$
par: Piérard, Sébastien, et autres
Publié: (2025)

A Closer Look at Data Augmentation Strategies for Finetuning-Based Low/Few-Shot Object Detection
par: Li, Vladislav, et autres
Publié: (2024)

Neural Architecture Search of Hybrid Models for NPU-CIM Heterogeneous AR/VR Devices
par: Zhao, Yiwei, et autres
Publié: (2024)

Implications of Noise in Resistive Memory on Deep Neural Networks for Image Classification
par: Emonds, Yannick, et autres
Publié: (2024)

On Latency Predictors for Neural Architecture Search
par: Akhauri, Yash, et autres
Publié: (2024)

Towards a Proactive Autoscaling Framework for Data Stream Processing at the Edge using GRU and Transfer Learning
par: Armah, Eugene, et autres
Publié: (2025)

Smartphone-based Eye Tracking System using Edge Intelligence and Model Optimisation
par: Gunawardena, Nishan, et autres
Publié: (2024)

Realtime Facial Expression Recognition: Neuromorphic Hardware vs. Edge AI Accelerators
par: Smith, Heath, et autres
Publié: (2024)

Investigation of Energy-efficient AI Model Architectures and Compression Techniques for "Green" Fetal Brain Segmentation
par: Mazurek, Szymon, et autres
Publié: (2024)

Cost-Effective Model Evaluation with Meta-Learning
par: Pham, Trinh, et autres
Publié: (2026)

ASI: Accuracy-Stability Index for Evaluating Deep Learning Models
par: Dai, Wei, et autres
Publié: (2023)

FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation
par: Liu, Dong, et autres
Publié: (2025)

Minuet: Accelerating 3D Sparse Convolutions on GPUs
par: Yang, Jiacheng, et autres
Publié: (2023)

Polymorph: Energy-Efficient Multi-Label Classification for Video Streams on Embedded Devices
par: Ghafouri, Saeid, et autres
Publié: (2025)

Inf-MLLM: Efficient Streaming Inference of Multimodal Large Language Models on a Single GPU
par: Ning, Zhenyu, et autres
Publié: (2024)

Avoid Forgetting by Preserving Global Knowledge Gradients in Federated Learning with Non-IID Data
par: Chunduru, Abhijit, et autres
Publié: (2025)