Del 15633 i serien Lecture Notes in Computer Science

Computer Vision – ECCV 2024 Workshops

Milan, Italy, September 29–October 4, 2024, Proceedings, Part XI

Häftad, Engelska, 2025

AvAlessio Del Bue,Cristian Canton,Jordi Pont-Tuset,Tatiana Tommasi

2 209 kr

Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

The multi-volume set LNCS 15623 until LNCS 15646 constitutes the proceedings of the workshops that were held in conjunction with the 18th European Conference on Computer Vision, ECCV 2024, which took place in Milan, Italy, during September 29–October 4, 2024.

Produktinformation

Utgivningsdatum2025-06-01
Mått155 x 235 x 21 mm
Vikt587 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor329
FörlagSpringer International Publishing AG
ISBN9783031919787

Tillhör följande kategorier

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.