Saved in:
| Main Authors: | Fang, Rui, Chen, Hsi-Wen, Chen, Ming-Syan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.07317 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SAC-ViT: Semantic-Aware Clustering Vision Transformer with Early Exit
by: Hu, Youbing, et al.
Published: (2025)
by: Hu, Youbing, et al.
Published: (2025)
LoopQ: Quantization for Recursive Transformers
by: Fang, Rui, et al.
Published: (2026)
by: Fang, Rui, et al.
Published: (2026)
The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP
by: Nam, Kahyeon, et al.
Published: (2026)
by: Nam, Kahyeon, et al.
Published: (2026)
Fine-Grained Post-Training Quantization for Large Vision Language Models with Quantization-Aware Integrated Gradients
by: Xiang, Ziwei, et al.
Published: (2026)
by: Xiang, Ziwei, et al.
Published: (2026)
Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers
by: Ding, Rui, et al.
Published: (2024)
by: Ding, Rui, et al.
Published: (2024)
SAFE-KD: Risk-Controlled Early-Exit Distillation for Vision Backbones
by: Khazem, Salim
Published: (2026)
by: Khazem, Salim
Published: (2026)
E4: Energy-Efficient DNN Inference for Edge Video Analytics Via Early-Exit and DVFS
by: Zhang, Ziyang, et al.
Published: (2025)
by: Zhang, Ziyang, et al.
Published: (2025)
Mixed Non-linear Quantization for Vision Transformers
by: Kim, Gihwan, et al.
Published: (2024)
by: Kim, Gihwan, et al.
Published: (2024)
CAPEEN: Image Captioning with Early Exits and Knowledge Distillation
by: Bajpai, Divya Jyoti, et al.
Published: (2024)
by: Bajpai, Divya Jyoti, et al.
Published: (2024)
Early Exit and Multi Stage Knowledge Distillation in VLMs for Video Summarization
by: Khan, Anas Anwarul Haq, et al.
Published: (2025)
by: Khan, Anas Anwarul Haq, et al.
Published: (2025)
Vision Transformers in Precision Agriculture: A Comprehensive Survey
by: Mehdipour, Saber, et al.
Published: (2025)
by: Mehdipour, Saber, et al.
Published: (2025)
DeeAD: Dynamic Early Exit of Vision-Language Action for Efficient Autonomous Driving
by: HU, Haibo, et al.
Published: (2025)
by: HU, Haibo, et al.
Published: (2025)
Evaluating Adversarial Robustness in the Spatial Frequency Domain
by: Liao, Keng-Hsin, et al.
Published: (2024)
by: Liao, Keng-Hsin, et al.
Published: (2024)
QuEPT: Quantized Elastic Precision Transformers with One-Shot Calibration for Multi-Bit Switching
by: Xu, Ke, et al.
Published: (2026)
by: Xu, Ke, et al.
Published: (2026)
Improved Ear Verification with Vision Transformers and Overlapping Patches
by: Arun, Deeksha, et al.
Published: (2025)
by: Arun, Deeksha, et al.
Published: (2025)
Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
by: Chen, Lei, et al.
Published: (2024)
by: Chen, Lei, et al.
Published: (2024)
DFQ-ViT: Data-Free Quantization for Vision Transformers without Fine-tuning
by: Tong, Yujia, et al.
Published: (2025)
by: Tong, Yujia, et al.
Published: (2025)
FIMA-Q: Post-Training Quantization for Vision Transformers by Fisher Information Matrix Approximation
by: Wu, Zhuguanyu, et al.
Published: (2025)
by: Wu, Zhuguanyu, et al.
Published: (2025)
Trio-ViT: Post-Training Quantization and Acceleration for Softmax-Free Efficient Vision Transformer
by: Shi, Huihong, et al.
Published: (2024)
by: Shi, Huihong, et al.
Published: (2024)
Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers
by: Li, Zhengang, et al.
Published: (2024)
by: Li, Zhengang, et al.
Published: (2024)
Weierstrass Positional Encoding for Vision Transformers
by: Xin, Zhihang, et al.
Published: (2026)
by: Xin, Zhihang, et al.
Published: (2026)
VEQ: Modality-Adaptive Quantization for MoE Vision-Language Models
by: Qin, Guangshuo, et al.
Published: (2026)
by: Qin, Guangshuo, et al.
Published: (2026)
PQV-Mobile: A Combined Pruning and Quantization Toolkit to Optimize Vision Transformers for Mobile Applications
by: Bhardwaj, Kshitij
Published: (2024)
by: Bhardwaj, Kshitij
Published: (2024)
IPTQ-ViT: Post-Training Quantization of Non-linear Functions for Integer-only Vision Transformers
by: Kim, Gihwan, et al.
Published: (2025)
by: Kim, Gihwan, et al.
Published: (2025)
Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precision
by: Huang, Xijie, et al.
Published: (2023)
by: Huang, Xijie, et al.
Published: (2023)
Strong Baseline: Multi-UAV Tracking via YOLOv12 with BoT-SORT-ReID
by: Chen, Yu-Hsi
Published: (2025)
by: Chen, Yu-Hsi
Published: (2025)
ViFusionTST: Deep Fusion of Time-Series Image Representations from Load Signals for Early Bed-Exit Prediction
by: Liu, Hao, et al.
Published: (2025)
by: Liu, Hao, et al.
Published: (2025)
PTEENet: Post-Trained Early-Exit Neural Networks Augmentation for Inference Cost Optimization
by: Lahiany, Assaf, et al.
Published: (2025)
by: Lahiany, Assaf, et al.
Published: (2025)
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization
by: Zhao, Tianchen, et al.
Published: (2024)
by: Zhao, Tianchen, et al.
Published: (2024)
Q-HyViT: Post-Training Quantization of Hybrid Vision Transformers with Bridge Block Reconstruction for IoT Systems
by: Lee, Jemin, et al.
Published: (2023)
by: Lee, Jemin, et al.
Published: (2023)
SQAP-VLA: A Synergistic Quantization-Aware Pruning Framework for High-Performance Vision-Language-Action Models
by: Fang, Hengyu, et al.
Published: (2025)
by: Fang, Hengyu, et al.
Published: (2025)
Exploiting Information Redundancy in Attention Maps for Extreme Quantization of Vision Transformers
by: Maisonnave, Lucas, et al.
Published: (2025)
by: Maisonnave, Lucas, et al.
Published: (2025)
Single Image Reflection Separation via Dual Prior Interaction Transformer
by: Huang, Yue, et al.
Published: (2025)
by: Huang, Yue, et al.
Published: (2025)
HadaNorm: Diffusion Transformer Quantization through Mean-Centered Transformations
by: Federici, Marco, et al.
Published: (2025)
by: Federici, Marco, et al.
Published: (2025)
MOGO: Residual Quantized Hierarchical Causal Transformer for High-Quality and Real-Time 3D Human Motion Generation
by: Fu, Dongjie, et al.
Published: (2025)
by: Fu, Dongjie, et al.
Published: (2025)
Vision-and-Language Navigation Generative Pretrained Transformer
by: Hanlin, Wen
Published: (2024)
by: Hanlin, Wen
Published: (2024)
FQ-PETR: Fully Quantized Position Embedding Transformation for Multi-View 3D Object Detection
by: Yu, Jiangyong, et al.
Published: (2025)
by: Yu, Jiangyong, et al.
Published: (2025)
Cross-aware Early Fusion with Stage-divided Vision and Language Transformer Encoders for Referring Image Segmentation
by: Cho, Yubin, et al.
Published: (2024)
by: Cho, Yubin, et al.
Published: (2024)
MBQ: Modality-Balanced Quantization for Large Vision-Language Models
by: Li, Shiyao, et al.
Published: (2024)
by: Li, Shiyao, et al.
Published: (2024)
Towards Precise Scaling Laws for Video Diffusion Transformers
by: Yin, Yuanyang, et al.
Published: (2024)
by: Yin, Yuanyang, et al.
Published: (2024)
Similar Items
-
SAC-ViT: Semantic-Aware Clustering Vision Transformer with Early Exit
by: Hu, Youbing, et al.
Published: (2025) -
LoopQ: Quantization for Recursive Transformers
by: Fang, Rui, et al.
Published: (2026) -
The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP
by: Nam, Kahyeon, et al.
Published: (2026) -
Fine-Grained Post-Training Quantization for Large Vision Language Models with Quantization-Aware Integrated Gradients
by: Xiang, Ziwei, et al.
Published: (2026) -
Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers
by: Ding, Rui, et al.
Published: (2024)