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AHCPTQ: Accurate and Hardware-Compatible Post-Training Quantization for Segment Anything Model

5 March 2025
Wenlun Zhang
Shimpei Ando
Kentaro Yoshioka
    VLMMQ
ArXiv (abs)PDFHTML

Papers citing "AHCPTQ: Accurate and Hardware-Compatible Post-Training Quantization for Segment Anything Model"

21 / 21 papers shown
Title
TinySAM: Pushing the Envelope for Efficient Segment Anything Model
TinySAM: Pushing the Envelope for Efficient Segment Anything Model
Han Shu
Wenshuo Li
Yehui Tang
Yiman Zhang
Yihao Chen
Houqiang Li
Yunhe Wang
Xinghao Chen
VLM
86
21
0
21 Dec 2023
Follow Anything: Open-set detection, tracking, and following in
  real-time
Follow Anything: Open-set detection, tracking, and following in real-time
Alaa Maalouf
Ninad Jadhav
Krishna Murthy Jatavallabhula
Makram Chahine
Daniel M.Vogt
Robert J. Wood
Antonio Torralba
Daniela Rus
64
25
0
10 Aug 2023
Detect Any Shadow: Segment Anything for Video Shadow Detection
Detect Any Shadow: Segment Anything for Video Shadow Detection
Yonghui Wang
Wen-gang Zhou
Yunyao Mao
Houqiang Li
VLM
67
24
0
26 May 2023
Personalize Segment Anything Model with One Shot
Personalize Segment Anything Model with One Shot
Renrui Zhang
Zhengkai Jiang
Ziyu Guo
Shilin Yan
Junting Pan
Xianzheng Ma
Hao Dong
Peng Gao
Hongsheng Li
MLLMVLM
102
219
0
04 May 2023
Towards Accurate Post-Training Quantization for Vision Transformer
Towards Accurate Post-Training Quantization for Vision Transformer
Yifu Ding
Haotong Qin
Qing-Yu Yan
Z. Chai
Junjie Liu
Xiaolin K. Wei
Xianglong Liu
MQ
109
70
0
25 Mar 2023
NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization
  for Vision Transformers
NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers
Yijiang Liu
Huanrui Yang
Zhen Dong
Kurt Keutzer
Li Du
Shanghang Zhang
MQ
75
52
0
29 Nov 2022
I-ViT: Integer-only Quantization for Efficient Vision Transformer
  Inference
I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference
Zhikai Li
Qingyi Gu
MQ
106
106
0
04 Jul 2022
QDrop: Randomly Dropping Quantization for Extremely Low-bit
  Post-Training Quantization
QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization
Xiuying Wei
Ruihao Gong
Yuhang Li
Xianglong Liu
F. Yu
MQVLM
76
177
0
11 Mar 2022
Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution
  Networks
Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks
Mingliang Xu
Mingbao Lin
Xunchao Li
Ke Li
Yunhang Shen
Chia-Wen Lin
Yongjian Wu
Rongrong Ji
MQ
52
25
0
08 Mar 2022
DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object
  Detection
DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection
Hao Zhang
Feng Li
Shilong Liu
Lei Zhang
Hang Su
Jun Zhu
L. Ni
H. Shum
ViT
179
1,460
0
07 Mar 2022
FQ-ViT: Post-Training Quantization for Fully Quantized Vision
  Transformer
FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer
Yang Lin
Tianyu Zhang
Peiqin Sun
Zheng Li
Shuchang Zhou
ViTMQ
72
156
0
27 Nov 2021
YOLOX: Exceeding YOLO Series in 2021
YOLOX: Exceeding YOLO Series in 2021
Zheng Ge
Songtao Liu
Feng Wang
Zeming Li
Jian Sun
ObjD
158
4,103
0
18 Jul 2021
Post-Training Quantization for Vision Transformer
Post-Training Quantization for Vision Transformer
Zhenhua Liu
Yunhe Wang
Kai Han
Siwei Ma
Wen Gao
ViTMQ
101
343
0
27 Jun 2021
BRECQ: Pushing the Limit of Post-Training Quantization by Block
  Reconstruction
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction
Yuhang Li
Ruihao Gong
Xu Tan
Yang Yang
Peng Hu
Qi Zhang
F. Yu
Wei Wang
Shi Gu
MQ
138
442
0
10 Feb 2021
Up or Down? Adaptive Rounding for Post-Training Quantization
Up or Down? Adaptive Rounding for Post-Training Quantization
Markus Nagel
Rana Ali Amjad
M. V. Baalen
Christos Louizos
Tijmen Blankevoort
MQ
90
586
0
22 Apr 2020
Additive Powers-of-Two Quantization: An Efficient Non-uniform
  Discretization for Neural Networks
Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks
Yuhang Li
Xin Dong
Wei Wang
MQ
64
259
0
28 Sep 2019
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit
  Neural Networks
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks
Ruihao Gong
Xianglong Liu
Shenghu Jiang
Tian-Hao Li
Peng Hu
Jiazhen Lin
F. Yu
Junjie Yan
MQ
70
459
0
14 Aug 2019
Learned Step Size Quantization
Learned Step Size Quantization
S. K. Esser
J. McKinstry
Deepika Bablani
R. Appuswamy
D. Modha
MQ
75
809
0
21 Feb 2019
Quantizing deep convolutional networks for efficient inference: A
  whitepaper
Quantizing deep convolutional networks for efficient inference: A whitepaper
Raghuraman Krishnamoorthi
MQ
141
1,021
0
21 Jun 2018
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
528
62,377
0
04 Jun 2015
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
429
43,814
0
01 May 2014
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