Cover Image

Joint Architecture-Token-Bitwidth Multi-Axis Optimization of Vision Transformers for Semiconductor IC Packaging

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nguyen, Phat, Geng, Xue, Xu, Kaixin, Zhe, Wang, Yang, Xulei, Cheung, Ngai-Man
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Token Compression Meets Compact Vision Transformers: A Survey and Comparative Evaluation for Edge AI
by: Nguyen, Phat, et al.
Published: (2025)

On the Adversarial Robustness of 3D Large Vision-Language Models
by: Liu, Chao, et al.
Published: (2026)

LPViT: Low-Power Semi-structured Pruning for Vision Transformers
by: Xu, Kaixin, et al.
Published: (2024)

Synth-Align: Improving Trustworthiness in Vision-Language Model with Synthetic Preference Data Alignment
by: Wijaya, Robert, et al.
Published: (2024)

CERSA: Cumulative Energy-Retaining Subspace Adaptation for Memory-Efficient Fine-Tuning
by: Ge, Jingze, et al.
Published: (2026)

Text to Image Generation and Editing: A Survey
by: Yang, Pengfei, et al.
Published: (2025)

DM3D: Distortion-Minimized Weight Pruning for Lossless 3D Object Detection
by: Xu, Kaixin, et al.
Published: (2024)

Frequency Masking for Universal Deepfake Detection
by: Doloriel, Chandler Timm, et al.
Published: (2024)

An Efficient 3D Convolutional Neural Network with Channel-wise, Spatial-grouped, and Temporal Convolutions
by: Wang, Zhe, et al.
Published: (2025)

AIR: Zero-shot Generative Model Adaptation with Iterative Refinement
by: Liu, Guimeng, et al.
Published: (2025)

Urban Air Temperature Prediction using Conditional Diffusion Models
by: Dai, Siyang, et al.
Published: (2024)

Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights
by: Ho, Sy-Tuyen, et al.
Published: (2025)

A Timely Survey on Vision Transformer for Deepfake Detection
by: Wang, Zhikan, et al.
Published: (2024)

Do Vision-Language Models Leak What They Learn? Adaptive Token-Weighted Model Inversion Attacks
by: Nguyen, Ngoc-Bao, et al.
Published: (2025)

Patch-as-Decodable-Token: Towards Unified Multi-Modal Vision Tasks in MLLMs
by: Su, Yongyi, et al.
Published: (2025)

SegMaFormer: A Hybrid State-Space and Transformer Model for Efficient Segmentation
by: Nguyen, Duy D., et al.
Published: (2026)

Content-Aware Radiance Fields: Aligning Model Complexity with Scene Intricacy Through Learned Bitwidth Quantization
by: Liu, Weihang, et al.
Published: (2024)

Model Inversion Robustness: Can Transfer Learning Help?
by: Ho, Sy-Tuyen, et al.
Published: (2024)

Residual Attention Single-Head Vision Transformer Network for Rolling Bearing Fault Diagnosis in Noisy Environments
by: Lai, Songjiang, et al.
Published: (2024)

Low-Bitwidth Floating Point Quantization for Efficient High-Quality Diffusion Models
by: Chen, Cheng, et al.
Published: (2024)

SAVER: Mitigating Hallucinations in Large Vision-Language Models via Style-Aware Visual Early Revision
by: Li, Zhaoxu, et al.
Published: (2025)

VELVET-Med: Vision and Efficient Language Pre-training for Volumetric Imaging Tasks in Medicine
by: Zhang, Ziyang, et al.
Published: (2025)

Vision Transformer with Super Token Sampling
by: Huang, Huaibo, et al.
Published: (2022)

Neighbor-Aware Token Reduction via Hilbert Curve for Vision Transformers
by: Li, Yunge, et al.
Published: (2025)

Multi-Cue Adaptive Visual Token Pruning for Large Vision-Language Models
by: Luan, Bozhi, et al.
Published: (2025)

Are Vision Transformer Representations Semantically Meaningful? A Case Study in Medical Imaging
by: Shams, Montasir, et al.
Published: (2025)

Towards Joint Quantization and Token Pruning of Vision-Language Models
by: Li, Xinqing, et al.
Published: (2026)

Multi-View Industrial Anomaly Detection with Epipolar Constrained Cross-View Fusion
by: Liu, Yifan, et al.
Published: (2025)

Advancing SEM Based Nano-Scale Defect Analysis in Semiconductor Manufacturing for Advanced IC Nodes
by: Dey, Bappaditya, et al.
Published: (2024)

Scenes as Tokens: Multi-Scale Normal Distributions Transform Tokenizer for General 3D Vision-Language Understanding
by: Tang, Yutao, et al.
Published: (2025)

On the Vulnerability of Skip Connections to Model Inversion Attacks
by: Koh, Jun Hao, et al.
Published: (2024)

Visual-Word Tokenizer: Beyond Fixed Sets of Tokens in Vision Transformers
by: Gee, Leonidas, et al.
Published: (2024)

Superpixel Tokenization for Vision Transformers: Preserving Semantic Integrity in Visual Tokens
by: Lew, Jaihyun, et al.
Published: (2024)

Token Transforming: A Unified and Training-Free Token Compression Framework for Vision Transformer Acceleration
by: Zeng, Fanhu, et al.
Published: (2025)

Learning Content-Aware Multi-Modal Joint Input Pruning via Bird's-Eye-View Representation
by: Li, Yuxin, et al.
Published: (2024)

Wavelet-Based Image Tokenizer for Vision Transformers
by: Zhu, Zhenhai, et al.
Published: (2024)

MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations
by: Zhang, Ziyang, et al.
Published: (2025)

Efficient Token Compression for Vision Transformer with Spatial Information Preserved
by: Mao, Junzhu, et al.
Published: (2025)

Spectral Vision Transformer for Efficient Tokenization with Limited Data
by: Roberts, Alexandra G., et al.
Published: (2026)

Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision Transformers
by: Lee, Sanghyeok, et al.
Published: (2024)