| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Computer vision - ECCV 2024 Workshops/ edited by Alessio Del Bue ... [et al.]. |
| Reminder of title: |
Milan, Italy, September 29-October 4, 2024 : proceedings. |
| remainder title: |
ECCV 2024 Workshops |
| other author: |
Del Bue, Alessio. |
| corporate name: |
European Conference on Computer Vision |
| Published: |
Cham :Springer Nature Switzerland : : 2025., |
| Description: |
lv, 329 p. :ill. (some col.), digital ;24 cm. |
| [NT 15003449]: |
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 -- Compositional Text-to-Image Generation with Feedforward Layout Generation -- PackMamba:Efficient Processing of Variable-Length Sequences in Mamba training -- Down-Sampling Inter-Layer Adapter for Parameter and Computation Efficient Ultra-Fine-Grained Image Recognition -- Memory-Efficient Vision Transformers: An Activation-Aware Mixed-Rank Compression Strategy -- LLaMA-NAS: Efficient Neural Architecture Search for Large Language Models -- Improving Hyperparameter Optimization with Checkpointed Model Weights -- MagicDec: Breaking the Latency-Throughput Tradeoff for Long Contexts with Speculative Decoding -- Mixed Non-linear Quantization for Vision Transformers -- CycleBNN: Cyclic Precision Training in Binary Neural Networks -- DailyMAE: Towards Pretraining Masked Autoencoders in One Day -- EPTQ: Enhanced Post-Training Quantization via Hessian-guided Network-wise Optimization -- Generalized SAM: Efficient Fine-Tuning of SAM for Variable Input Image Sizes -- LightAvatar: Efficient Head Avatar as Dynamic Neural Light Field -- Giving each task what it needs - leveraging structured sparsity for tailored multi-task learning -- ERF-NAS: Efficient Receptive Field-based Zero-Shot NAS for Object Detection -- CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge -- Memory-Optimized Once-For-All network -- Famba-V: Fast Vision Mamba with Cross-Layer Token Fusion -- Latent Distillation for Continual Object Detection at the Edge -- MCUBench: A Benchmark of Tiny Object Detectors on MCUs -- Optimizing Resource Consumption in Diffusion Models through Hallucination Early Detection. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Computer vision - Congresses. - |
| Online resource: |
https://doi.org/10.1007/978-3-031-91979-4 |
| ISBN: |
9783031919794 |