:: Library Catalog

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Chunnan, Wang, Hongzhi, Shi, Xiangyu
Natura:	Preprint
Pubblicazione:	2022
Soggetti:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Accesso online:	https://arxiv.org/abs/2201.09884
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft
di: Li, Hao, et al.
Pubblicazione: (2023)

Knowledge Translation: A New Pathway for Model Compression
di: Sun, Wujie, et al.
Pubblicazione: (2024)

AutoGeo: Automating Geometric Image Dataset Creation for Enhanced Geometry Understanding
di: Huang, Zihan, et al.
Pubblicazione: (2024)

AutoVDC: Automated Vision Data Cleaning Using Vision-Language Models
di: Vasa, Santosh, et al.
Pubblicazione: (2025)

L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks
di: Guo, Ping, et al.
Pubblicazione: (2024)

LatentLLM: Attention-Aware Joint Tensor Compression
di: Koike-Akino, Toshiaki, et al.
Pubblicazione: (2025)

Robust Alzheimer's Progression Modeling using Cross-Domain Self-Supervised Deep Learning
di: Dadsetan, Saba, et al.
Pubblicazione: (2022)

SparVAR: Exploring Sparsity in Visual AutoRegressive Modeling for Training-Free Acceleration
di: Li, Zekun, et al.
Pubblicazione: (2026)

AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models
di: Metzen, Jan Hendrik, et al.
Pubblicazione: (2023)

DARK: Diagonal-Anchored Repulsive Knowledge Distillation for Vision-Language Models under Extreme Compression
di: Saeed, Numan, et al.
Pubblicazione: (2026)

Energy-based Automated Model Evaluation
di: Peng, Ru, et al.
Pubblicazione: (2024)

PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation
di: Zang, Zelin, et al.
Pubblicazione: (2025)

Visual Knowledge in the Big Model Era: Retrospect and Prospect
di: Wang, Wenguan, et al.
Pubblicazione: (2024)

AutoMiSeg: Automatic Medical Image Segmentation via Test-Time Adaptation of Foundation Models
di: Li, Xingjian, et al.
Pubblicazione: (2025)

R2GenKG: Hierarchical Multi-modal Knowledge Graph for LLM-based Radiology Report Generation
di: Wang, Futian, et al.
Pubblicazione: (2025)

SDXL-Lightning: Progressive Adversarial Diffusion Distillation
di: Lin, Shanchuan, et al.
Pubblicazione: (2024)

Breaking the Compression Ceiling: Data-Free Pipeline for Ultra-Efficient Delta Compression
di: Wang, Xiaohui, et al.
Pubblicazione: (2025)

Decoupling Amplitude and Phase Attention in Frequency Domain for RGB-Event based Visual Object Tracking
di: Wang, Shiao, et al.
Pubblicazione: (2026)

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model
di: Chen, Hongxu, et al.
Pubblicazione: (2025)

Revisiting Multimodal KV Cache Compression: A Frequency-Domain-Guided Outlier-KV-Aware Approach
di: Yang, Yaoxin, et al.
Pubblicazione: (2025)

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models
di: Wang, Hongjun, et al.
Pubblicazione: (2026)

RefineNet: Enhancing Text-to-Image Conversion with High-Resolution and Detail Accuracy through Hierarchical Transformers and Progressive Refinement
di: Shi, Fan
Pubblicazione: (2023)

Vision-Language Meets the Skeleton: Progressively Distillation with Cross-Modal Knowledge for 3D Action Representation Learning
di: Chen, Yang, et al.
Pubblicazione: (2024)

Tiny Machine Learning: Progress and Futures
di: Lin, Ji, et al.
Pubblicazione: (2024)

AutoSIGHT: Automatic Eye Tracking-based System for Immediate Grading of Human experTise
di: Dowling, Byron, et al.
Pubblicazione: (2025)

Domain Guidance: A Simple Transfer Approach for a Pre-trained Diffusion Model
di: Zhong, Jincheng, et al.
Pubblicazione: (2025)

Knowledge Transfer Scaling Laws for 3D Medical Imaging
di: Lee, Ho Hin, et al.
Pubblicazione: (2026)

LLaVA-Zip: Adaptive Visual Token Compression with Intrinsic Image Information
di: Wang, Ke, et al.
Pubblicazione: (2024)

Are We Making Progress in Multimodal Domain Generalization? A Comprehensive Benchmark Study
di: Dong, Hao, et al.
Pubblicazione: (2026)

Steering the LoCoMotif: Using Domain Knowledge in Time Series Motif Discovery
di: Yurtman, Aras, et al.
Pubblicazione: (2025)

ColorMAE: Exploring data-independent masking strategies in Masked AutoEncoders
di: Hinojosa, Carlos, et al.
Pubblicazione: (2024)

Domain Generalizable Continual Learning
di: Yan, Hongwei, et al.
Pubblicazione: (2025)

Clinical Domain Knowledge-Derived Template Improves Post Hoc AI Explanations in Pneumothorax Classification
di: Yuan, Han, et al.
Pubblicazione: (2024)

CoLLM-NAS: Collaborative Large Language Models for Efficient Knowledge-Guided Neural Architecture Search
di: Li, Zhe, et al.
Pubblicazione: (2025)

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation
di: Wang, Fan, et al.
Pubblicazione: (2024)

Extreme Model Compression with Structured Sparsity at Low Precision
di: Liu, Dan, et al.
Pubblicazione: (2025)

X-Prompt: Towards Universal In-Context Image Generation in Auto-Regressive Vision Language Foundation Models
di: Sun, Zeyi, et al.
Pubblicazione: (2024)

AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment
di: Kao, Kuei-Chun, et al.
Pubblicazione: (2026)

Residual SODAP: Residual Self-Organizing Domain-Adaptive Prompting with Structural Knowledge Preservation for Continual Learning
di: Oh, Gyutae, et al.
Pubblicazione: (2026)

SVFSearch: A Multimodal Knowledge-Intensive Benchmark for Short-Video Frame Search in the Gaming Vertical Domain
di: Mao, Lingtao, et al.
Pubblicazione: (2026)