ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2003.07326
  4. Cited By
Resolution Adaptive Networks for Efficient Inference

Resolution Adaptive Networks for Efficient Inference

16 March 2020
Le Yang
Yizeng Han
Xi Chen
Shiji Song
Jifeng Dai
Gao Huang
ArXivPDFHTML

Papers citing "Resolution Adaptive Networks for Efficient Inference"

37 / 37 papers shown
Title
ORXE: Orchestrating Experts for Dynamically Configurable Efficiency
ORXE: Orchestrating Experts for Dynamically Configurable Efficiency
Qingyuan Wang
Guoxin Wang
B. Cardiff
Deepu John
38
0
0
07 May 2025
DPNet: Dynamic Pooling Network for Tiny Object Detection
DPNet: Dynamic Pooling Network for Tiny Object Detection
Luqi Gong
Haotian Chen
Y. Chen
Tianliang Yao
Chao Li
Shuai Zhao
Guangjie Han
ObjD
146
0
0
05 May 2025
DyDiT++: Dynamic Diffusion Transformers for Efficient Visual Generation
DyDiT++: Dynamic Diffusion Transformers for Efficient Visual Generation
Wangbo Zhao
Yizeng Han
Jiasheng Tang
Kai Wang
Hao Luo
Yibing Song
Gao Huang
Fan Wang
Yang You
71
0
0
09 Apr 2025
Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning
Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning
Jiuyang Dong
Junjun Jiang
Kui Jiang
Jiahan Li
Yongbing Zhang
45
0
0
28 Feb 2025
AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation
AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation
Zanlin Ni
Yulin Wang
Renping Zhou
Rui Lu
Jiayi Guo
Jinyi Hu
Zhiyuan Liu
Yuan Yao
Gao Huang
31
7
0
31 Aug 2024
Tiny Models are the Computational Saver for Large Models
Tiny Models are the Computational Saver for Large Models
Qingyuan Wang
B. Cardiff
Antoine Frappé
Benoît Larras
Deepu John
44
2
0
26 Mar 2024
On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance
On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance
Jaskirat Singh
Emad Fallahzadeh
Bram Adams
Ahmed E. Hassan
MQ
34
3
0
25 Mar 2024
Unveiling Typographic Deceptions: Insights of the Typographic
  Vulnerability in Large Vision-Language Model
Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model
Hao-Ran Cheng
Erjia Xiao
Jindong Gu
Le Yang
Jinhao Duan
Jize Zhang
Jiahang Cao
Kaidi Xu
Renjing Xu
37
6
0
29 Feb 2024
Adaptive Inference: Theoretical Limits and Unexplored Opportunities
Adaptive Inference: Theoretical Limits and Unexplored Opportunities
S. Hor
Ying Qian
Mert Pilanci
Amin Arbabian
23
0
0
06 Feb 2024
Adaptive Depth Networks with Skippable Sub-Paths
Adaptive Depth Networks with Skippable Sub-Paths
Woochul Kang
33
1
0
27 Dec 2023
Cooperative Learning for Cost-Adaptive Inference
Cooperative Learning for Cost-Adaptive Inference
Xingli Fang
Richard M. Bradford
Jung-Eun Kim
32
1
0
13 Dec 2023
Adaptivity and Modularity for Efficient Generalization Over Task
  Complexity
Adaptivity and Modularity for Efficient Generalization Over Task Complexity
Samira Abnar
Omid Saremi
Laurent Dinh
Shantel Wilson
Miguel Angel Bautista
...
Vimal Thilak
Etai Littwin
Jiatao Gu
Josh Susskind
Samy Bengio
37
5
0
13 Oct 2023
DynamicDet: A Unified Dynamic Architecture for Object Detection
DynamicDet: A Unified Dynamic Architecture for Object Detection
Zhi-Hao Lin
Yongtao Wang
Jinhe Zhang
Xiaojie Chu
ObjD
23
30
0
12 Apr 2023
Adaptive Rotated Convolution for Rotated Object Detection
Adaptive Rotated Convolution for Rotated Object Detection
Yifan Pu
Yiru Wang
Zhuofan Xia
Yizeng Han
Yulin Wang
Weihao Gan
Zidong Wang
S. Song
Gao Huang
23
76
0
14 Mar 2023
Efficient Transformer-based 3D Object Detection with Dynamic Token
  Halting
Efficient Transformer-based 3D Object Detection with Dynamic Token Halting
Mao Ye
Gregory P. Meyer
Yuning Chai
Qiang Liu
32
8
0
09 Mar 2023
Fixing Overconfidence in Dynamic Neural Networks
Fixing Overconfidence in Dynamic Neural Networks
Lassi Meronen
Martin Trapp
Andrea Pilzer
Le Yang
Arno Solin
BDL
37
16
0
13 Feb 2023
Adaptive Deep Neural Network Inference Optimization with EENet
Adaptive Deep Neural Network Inference Optimization with EENet
Fatih Ilhan
Ka-Ho Chow
Sihao Hu
Tiansheng Huang
Selim Tekin
...
Myungjin Lee
Ramana Rao Kompella
Hugo Latapie
Gan Liu
Ling Liu
33
11
0
15 Jan 2023
Dynamic Grained Encoder for Vision Transformers
Dynamic Grained Encoder for Vision Transformers
Lin Song
Songyang Zhang
Songtao Liu
Zeming Li
Xuming He
Hongbin Sun
Jian Sun
Nanning Zheng
ViT
26
34
0
10 Jan 2023
Boosted Dynamic Neural Networks
Boosted Dynamic Neural Networks
Haichao Yu
Haoxiang Li
G. Hua
Gao Huang
Humphrey Shi
35
7
0
30 Nov 2022
Look More but Care Less in Video Recognition
Look More but Care Less in Video Recognition
Yitian Zhang
Yue Bai
Haiquan Wang
Yi Xu
Yun Fu
27
9
0
18 Nov 2022
Latency-aware Spatial-wise Dynamic Networks
Latency-aware Spatial-wise Dynamic Networks
Yizeng Han
Zhihang Yuan
Yifan Pu
Chenhao Xue
S. Song
Guangyu Sun
Gao Huang
52
25
0
12 Oct 2022
Super Vision Transformer
Super Vision Transformer
Mingbao Lin
Mengzhao Chen
Yu-xin Zhang
Yunhang Shen
Rongrong Ji
Liujuan Cao
ViT
43
20
0
23 May 2022
A Closer Look at Branch Classifiers of Multi-exit Architectures
A Closer Look at Branch Classifiers of Multi-exit Architectures
Shaohui Lin
Bo Ji
Rongrong Ji
Angela Yao
12
4
0
28 Apr 2022
Glance and Focus Networks for Dynamic Visual Recognition
Glance and Focus Networks for Dynamic Visual Recognition
Gao Huang
Yulin Wang
Kangchen Lv
Haojun Jiang
Wenhui Huang
Pengfei Qi
S. Song
3DH
79
49
0
09 Jan 2022
Problem-dependent attention and effort in neural networks with
  applications to image resolution and model selection
Problem-dependent attention and effort in neural networks with applications to image resolution and model selection
Chris Rohlfs
18
4
0
05 Jan 2022
Partial to Whole Knowledge Distillation: Progressive Distilling
  Decomposed Knowledge Boosts Student Better
Partial to Whole Knowledge Distillation: Progressive Distilling Decomposed Knowledge Boosts Student Better
Xuanyang Zhang
Xinming Zhang
Jian Sun
25
1
0
26 Sep 2021
IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision
  Transformers
IA-RED2^22: Interpretability-Aware Redundancy Reduction for Vision Transformers
Bowen Pan
Rameswar Panda
Yi Ding
Zhangyang Wang
Rogerio Feris
A. Oliva
VLM
ViT
39
153
0
23 Jun 2021
Dynamic Resolution Network
Dynamic Resolution Network
Mingjian Zhu
Kai Han
Enhua Wu
Qiulin Zhang
Ying Nie
Zhenzhong Lan
Yunhe Wang
OOD
35
49
0
05 Jun 2021
MutualNet: Adaptive ConvNet via Mutual Learning from Different Model
  Configurations
MutualNet: Adaptive ConvNet via Mutual Learning from Different Model Configurations
Taojiannan Yang
Sijie Zhu
Matías Mendieta
Pu Wang
Ravikumar Balakrishnan
Minwoo Lee
T. Han
M. Shah
Cheng Chen
3DH
OOD
28
22
0
14 May 2021
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative
  Architecture for DNN Inference
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference
Min Li
Yu Li
Ye Tian
Li Jiang
Qiang Xu
28
33
0
10 May 2021
Adaptive Focus for Efficient Video Recognition
Adaptive Focus for Efficient Video Recognition
Yulin Wang
Zhaoxi Chen
Haojun Jiang
Shiji Song
Yizeng Han
Gao Huang
37
98
0
07 May 2021
Single-Training Collaborative Object Detectors Adaptive to Bandwidth and
  Computation
Single-Training Collaborative Object Detectors Adaptive to Bandwidth and Computation
Juliano S. Assine
José Cândido Silveira Santos Filho
Eduardo Valle
ObjD
42
8
0
03 May 2021
CondenseNet V2: Sparse Feature Reactivation for Deep Networks
CondenseNet V2: Sparse Feature Reactivation for Deep Networks
Le Yang
Haojun Jiang
Ruojin Cai
Yulin Wang
Shiji Song
Gao Huang
Qi Tian
DD
23
64
0
09 Apr 2021
Split Computing and Early Exiting for Deep Learning Applications: Survey
  and Research Challenges
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges
Yoshitomo Matsubara
Marco Levorato
Francesco Restuccia
33
199
0
08 Mar 2021
Improving Anytime Prediction with Parallel Cascaded Networks and a
  Temporal-Difference Loss
Improving Anytime Prediction with Parallel Cascaded Networks and a Temporal-Difference Loss
Michael L. Iuzzolino
Michael C. Mozer
Samy Bengio
OOD
15
10
0
19 Feb 2021
MicroNet: Towards Image Recognition with Extremely Low FLOPs
MicroNet: Towards Image Recognition with Extremely Low FLOPs
Yunsheng Li
Yinpeng Chen
Xiyang Dai
Dongdong Chen
Mengchen Liu
Lu Yuan
Zicheng Liu
Lei Zhang
Nuno Vasconcelos
30
25
0
24 Nov 2020
Regularizing Deep Networks with Semantic Data Augmentation
Regularizing Deep Networks with Semantic Data Augmentation
Yulin Wang
Gao Huang
Shiji Song
Xuran Pan
Yitong Xia
Cheng Wu
19
155
0
21 Jul 2020
1