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PTQ4SAM: Post-Training Quantization for Segment Anything

PTQ4SAM: Post-Training Quantization for Segment Anything

6 May 2024
Chengtao Lv
Hong Chen
Jinyang Guo
Yifu Ding
Xianglong Liu
    VLM
    MQ
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Papers citing "PTQ4SAM: Post-Training Quantization for Segment Anything"

29 / 29 papers shown
Title
DB-LLM: Accurate Dual-Binarization for Efficient LLMs
DB-LLM: Accurate Dual-Binarization for Efficient LLMs
Hong Chen
Chengtao Lv
Liang Ding
Haotong Qin
Xiabin Zhou
...
Xuebo Liu
Min Zhang
Jinyang Guo
Xianglong Liu
Dacheng Tao
MQ
39
22
0
19 Feb 2024
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
74
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
45
24
0
10 Aug 2023
Segment Anything in High Quality
Segment Anything in High Quality
Lei Ke
Mingqiao Ye
Martin Danelljan
Yifan Liu
Yu-Wing Tai
Chi-Keung Tang
Feng Yu
VLM
99
329
0
02 Jun 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
53
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
MLLM
VLM
90
216
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
92
69
0
25 Mar 2023
Post-training Quantization on Diffusion Models
Post-training Quantization on Diffusion Models
Yuzhang Shang
Zhihang Yuan
Bin Xie
Bingzhe Wu
Yan Yan
DiffM
MQ
89
175
0
28 Nov 2022
Outlier Suppression: Pushing the Limit of Low-bit Transformer Language
  Models
Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models
Xiuying Wei
Yunchen Zhang
Xiangguo Zhang
Ruihao Gong
Shanghang Zhang
Qi Zhang
F. Yu
Xianglong Liu
MQ
68
151
0
27 Sep 2022
LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale
LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale
Tim Dettmers
M. Lewis
Younes Belkada
Luke Zettlemoyer
MQ
76
649
0
15 Aug 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
MQ
VLM
63
174
0
11 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
153
1,428
0
07 Mar 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
Guosheng Lin
MLLM
BDL
VLM
CLIP
490
4,324
0
28 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
351
15,373
0
20 Dec 2021
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
ViT
MQ
50
154
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
124
4,065
0
18 Jul 2021
A White Paper on Neural Network Quantization
A White Paper on Neural Network Quantization
Markus Nagel
Marios Fournarakis
Rana Ali Amjad
Yelysei Bondarenko
M. V. Baalen
Tijmen Blankevoort
MQ
67
532
0
15 Jun 2021
SegFormer: Simple and Efficient Design for Semantic Segmentation with
  Transformers
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Enze Xie
Wenhai Wang
Zhiding Yu
Anima Anandkumar
J. Álvarez
Ping Luo
ViT
235
4,990
0
31 May 2021
Dual Attention Suppression Attack: Generate Adversarial Camouflage in
  Physical World
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World
Jiakai Wang
Aishan Liu
Zixin Yin
Shunchang Liu
Shiyu Tang
Xianglong Liu
AAML
175
198
0
01 Mar 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
102
433
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
61
575
0
22 Apr 2020
Integer Quantization for Deep Learning Inference: Principles and
  Empirical Evaluation
Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation
Hao Wu
Patrick Judd
Xiaojie Zhang
Mikhail Isaev
Paulius Micikevicius
MQ
74
356
0
20 Apr 2020
Channel Pruning Guided by Classification Loss and Feature Importance
Channel Pruning Guided by Classification Loss and Feature Importance
Jinyang Guo
Wanli Ouyang
Dong Xu
51
54
0
15 Mar 2020
BiDet: An Efficient Binarized Object Detector
BiDet: An Efficient Binarized Object Detector
Ziwei Wang
Ziyi Wu
Jiwen Lu
Jie Zhou
MQ
83
65
0
09 Mar 2020
FCOS: Fully Convolutional One-Stage Object Detection
FCOS: Fully Convolutional One-Stage Object Detection
Zhi Tian
Chunhua Shen
Hao Chen
Tong He
ObjD
114
4,997
0
02 Apr 2019
Quantization and Training of Neural Networks for Efficient
  Integer-Arithmetic-Only Inference
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
Benoit Jacob
S. Kligys
Bo Chen
Menglong Zhu
Matthew Tang
Andrew G. Howard
Hartwig Adam
Dmitry Kalenichenko
MQ
136
3,111
0
15 Dec 2017
DOTA: A Large-scale Dataset for Object Detection in Aerial Images
DOTA: A Large-scale Dataset for Object Detection in Aerial Images
Gui-Song Xia
X. Bai
Jian Ding
Zhen Zhu
Serge J. Belongie
Jiebo Luo
Mihai Datcu
Marcello Pelillo
Liangpei Zhang
ObjD
121
2,166
0
28 Nov 2017
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
AIMat
ObjD
465
62,122
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
371
43,524
0
01 May 2014
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