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Hit-Detector: Hierarchical Trinity Architecture Search for Object
  Detection

Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection

26 March 2020
Jianyuan Guo
Kai Han
Yunhe Wang
Chao Zhang
Zhaohui Yang
Hanxue Wu
Xinghao Chen
Chang Xu
ArXivPDFHTML

Papers citing "Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection"

44 / 44 papers shown
Title
Spatial-Temporal Search for Spiking Neural Networks
Spatial-Temporal Search for Spiking Neural Networks
Kaiwei Che
Zhaokun Zhou
Li-xin Yuan
Jianguo Zhang
Yonghong Tian
Luziwei Leng
30
0
0
24 Oct 2024
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism
Chengcheng Wang
Wei He
Ying Nie
Jianyuan Guo
Chuanjian Liu
Kai Han
Yunhe Wang
ObjD
21
201
0
20 Sep 2023
Auto-Spikformer: Spikformer Architecture Search
Auto-Spikformer: Spikformer Architecture Search
Kaiwei Che
Zhaokun Zhou
Zhengyu Ma
Wei Fang
Yanqing Chen
Shuaijie Shen
Liuliang Yuan
Yonghong Tian
21
4
0
01 Jun 2023
VanillaNet: the Power of Minimalism in Deep Learning
VanillaNet: the Power of Minimalism in Deep Learning
Hanting Chen
Yunhe Wang
Jianyuan Guo
Dacheng Tao
VLM
34
85
0
22 May 2023
Neural Architecture Search: Insights from 1000 Papers
Neural Architecture Search: Insights from 1000 Papers
Colin White
Mahmoud Safari
R. Sukthanker
Binxin Ru
T. Elsken
Arber Zela
Debadeepta Dey
Frank Hutter
3DV
AI4CE
32
128
0
20 Jan 2023
Network Pruning via Feature Shift Minimization
Network Pruning via Feature Shift Minimization
Y. Duan
Yue Zhou
Peng He
Qiang Liu
Shukai Duan
Xiaofang Hu
16
4
0
06 Jul 2022
Neural Architecture Adaptation for Object Detection by Searching Channel
  Dimensions and Mapping Pre-trained Parameters
Neural Architecture Adaptation for Object Detection by Searching Channel Dimensions and Mapping Pre-trained Parameters
Harim Jung
Myeong-Seok Oh
Cheoljong Yang
Seong-Whan Lee
ObjD
11
0
0
17 Jun 2022
A Survey on Computationally Efficient Neural Architecture Search
A Survey on Computationally Efficient Neural Architecture Search
Shiqing Liu
Haoyu Zhang
Yaochu Jin
26
41
0
03 Jun 2022
Searching for Network Width with Bilaterally Coupled Network
Searching for Network Width with Bilaterally Coupled Network
Xiu Su
Shan You
Jiyang Xie
Fei Wang
Chao Qian
Changshui Zhang
Chang Xu
14
6
0
25 Mar 2022
EAutoDet: Efficient Architecture Search for Object Detection
EAutoDet: Efficient Architecture Search for Object Detection
Xiaoxing Wang
Jiale Lin
Junchi Yan
Juanping Zhao
Xiaokang Yang
22
23
0
21 Mar 2022
Neural Architecture Search for Dense Prediction Tasks in Computer Vision
Neural Architecture Search for Dense Prediction Tasks in Computer Vision
T. Elsken
Arber Zela
J. H. Metzen
B. Staffler
Thomas Brox
Abhinav Valada
Frank Hutter
OOD
28
17
0
15 Feb 2022
AutoSNN: Towards Energy-Efficient Spiking Neural Networks
AutoSNN: Towards Energy-Efficient Spiking Neural Networks
Byunggook Na
J. Mok
Seongsik Park
Dongjin Lee
Hyeokjun Choe
Sungroh Yoon
45
63
0
30 Jan 2022
An Empirical Study of Adder Neural Networks for Object Detection
An Empirical Study of Adder Neural Networks for Object Detection
Xinghao Chen
Chang Xu
Minjing Dong
Chunjing Xu
Yunhe Wang
75
15
0
27 Dec 2021
Exploring Complicated Search Spaces with Interleaving-Free Sampling
Exploring Complicated Search Spaces with Interleaving-Free Sampling
Yunjie Tian
Lingxi Xie
Jiemin Fang
Jianbin Jiao
QiXiang Ye
Qi Tian
27
0
0
05 Dec 2021
GreedyNASv2: Greedier Search with a Greedy Path Filter
GreedyNASv2: Greedier Search with a Greedy Path Filter
Tao Huang
Shan You
Fei-Yue Wang
Chao Qian
Changshui Zhang
Xiaogang Wang
Chang Xu
15
18
0
24 Nov 2021
NAS-FCOS: Efficient Search for Object Detection Architectures
NAS-FCOS: Efficient Search for Object Detection Architectures
Ning Wang
Yang Gao
Hao Chen
Peng Wang
Zhi Tian
Chunhua Shen
Yanning Zhang
ObjD
51
19
0
24 Oct 2021
Trident Pyramid Networks: The importance of processing at the feature
  pyramid level for better object detection
Trident Pyramid Networks: The importance of processing at the feature pyramid level for better object detection
Cédric Picron
Tinne Tuytelaars
17
4
0
08 Oct 2021
PSViT: Better Vision Transformer via Token Pooling and Attention Sharing
PSViT: Better Vision Transformer via Token Pooling and Attention Sharing
Boyu Chen
Peixia Li
Baopu Li
Chuming Li
Lei Bai
Chen Lin
Ming-hui Sun
Junjie Yan
Wanli Ouyang
ViT
65
33
0
07 Aug 2021
AdvRush: Searching for Adversarially Robust Neural Architectures
AdvRush: Searching for Adversarially Robust Neural Architectures
J. Mok
Byunggook Na
Hyeokjun Choe
Sungroh Yoon
OOD
AAML
9
44
0
03 Aug 2021
Bag of Tricks for Neural Architecture Search
Bag of Tricks for Neural Architecture Search
T. Elsken
B. Staffler
Arber Zela
J. H. Metzen
Frank Hutter
25
5
0
08 Jul 2021
BCNet: Searching for Network Width with Bilaterally Coupled Network
BCNet: Searching for Network Width with Bilaterally Coupled Network
Xiu Su
Shan You
Fei-Yue Wang
Chao Qian
Changshui Zhang
Chang Xu
52
34
0
21 May 2021
Distilling Object Detectors via Decoupled Features
Distilling Object Detectors via Decoupled Features
Jianyuan Guo
Kai Han
Yunhe Wang
Han Wu
Xinghao Chen
Chunjing Xu
Chang Xu
24
199
0
26 Mar 2021
Prioritized Architecture Sampling with Monto-Carlo Tree Search
Prioritized Architecture Sampling with Monto-Carlo Tree Search
Xiu Su
Tao Huang
Yanxi Li
Shan You
Fei-Yue Wang
Chao Qian
Changshui Zhang
Chang Xu
11
49
0
22 Mar 2021
Manifold Regularized Dynamic Network Pruning
Manifold Regularized Dynamic Network Pruning
Yehui Tang
Yunhe Wang
Yixing Xu
Yiping Deng
Chao Xu
Dacheng Tao
Chang Xu
28
91
0
10 Mar 2021
OPANAS: One-Shot Path Aggregation Network Architecture Search for Object
  Detection
OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection
Tingting Liang
Yongtao Wang
Zhi Tang
Guosheng Hu
Haibin Ling
ObjD
13
50
0
08 Mar 2021
Data Augmentation for Object Detection via Differentiable Neural
  Rendering
Data Augmentation for Object Detection via Differentiable Neural Rendering
G. Ning
Guang Chen
Chaowei Tan
Si Luo
Liefeng Bo
Heng Huang
23
6
0
04 Mar 2021
Investigating Bi-Level Optimization for Learning and Vision from a
  Unified Perspective: A Survey and Beyond
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond
Risheng Liu
Jiaxin Gao
Jin Zhang
Deyu Meng
Zhouchen Lin
AI4CE
43
221
0
27 Jan 2021
Learning to Generate Content-Aware Dynamic Detectors
Learning to Generate Content-Aware Dynamic Detectors
Junyi Feng
Jiashen Hua
Baisheng Lai
Jianqiang Huang
Xi Li
Xiansheng Hua
29
1
0
08 Dec 2020
Dynamic Feature Pyramid Networks for Object Detection
Dynamic Feature Pyramid Networks for Object Detection
Mingjian Zhu
Kai Han
Changbin (Brad) Yu
Yunhe Wang
ObjD
12
21
0
01 Dec 2020
Inter-layer Transition in Neural Architecture Search
Inter-layer Transition in Neural Architecture Search
Benteng Ma
Jing Zhang
Yong-quan Xia
Dacheng Tao
21
4
0
30 Nov 2020
Auto-Panoptic: Cooperative Multi-Component Architecture Search for
  Panoptic Segmentation
Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation
Yangxin Wu
Gengwei Zhang
Hang Xu
Xiaodan Liang
Liang Lin
12
21
0
30 Oct 2020
Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural
  Architecture Search
Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search
Houwen Peng
Hao Du
Hongyuan Yu
Qi Li
Jing Liao
Jianlong Fu
8
67
0
29 Oct 2020
Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets
Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets
Kai Han
Yunhe Wang
Qiulin Zhang
Wei Zhang
Chunjing Xu
Tong Zhang
11
87
0
28 Oct 2020
Kernel Based Progressive Distillation for Adder Neural Networks
Kernel Based Progressive Distillation for Adder Neural Networks
Yixing Xu
Chang Xu
Xinghao Chen
Wei Zhang
Chunjing Xu
Yunhe Wang
17
47
0
28 Sep 2020
Searching for Low-Bit Weights in Quantized Neural Networks
Searching for Low-Bit Weights in Quantized Neural Networks
Zhaohui Yang
Yunhe Wang
Kai Han
Chunjing Xu
Chao Xu
Dacheng Tao
Chang Xu
MQ
4
82
0
18 Sep 2020
Weight-Sharing Neural Architecture Search: A Battle to Shrink the
  Optimization Gap
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
Lingxi Xie
Xin Chen
Kaifeng Bi
Longhui Wei
Yuhui Xu
...
Lanfei Wang
Anxiang Xiao
Jianlong Chang
Xiaopeng Zhang
Qi Tian
ViT
33
108
0
04 Aug 2020
Representation Sharing for Fast Object Detector Search and Beyond
Representation Sharing for Fast Object Detector Search and Beyond
Yujie Zhong
Zelu Deng
Sheng Guo
Matthew R. Scott
Weilin Huang
ObjD
42
16
0
23 Jul 2020
DC-NAS: Divide-and-Conquer Neural Architecture Search
DC-NAS: Divide-and-Conquer Neural Architecture Search
Yunhe Wang
Yixing Xu
Dacheng Tao
12
5
0
29 May 2020
HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass
  Lens
HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens
Zhaohui Yang
Yunhe Wang
Xinghao Chen
Jianyuan Guo
Wei Zhang
Chao Xu
Chunjing Xu
Dacheng Tao
Chang Xu
24
17
0
29 May 2020
YOLOv4: Optimal Speed and Accuracy of Object Detection
YOLOv4: Optimal Speed and Accuracy of Object Detection
Alexey Bochkovskiy
Chien-Yao Wang
H. Liao
VLM
ObjD
25
12,035
0
23 Apr 2020
CARS: Continuous Evolution for Efficient Neural Architecture Search
CARS: Continuous Evolution for Efficient Neural Architecture Search
Zhaohui Yang
Yunhe Wang
Xinghao Chen
Boxin Shi
Chao Xu
Chunjing Xu
Qi Tian
Chang Xu
11
223
0
11 Sep 2019
Object Detection in 20 Years: A Survey
Object Detection in 20 Years: A Survey
Zhengxia Zou
Keyan Chen
Zhenwei Shi
Yuhong Guo
Jieping Ye
VLM
ObjD
AI4TS
30
2,278
0
13 May 2019
DetNet: A Backbone network for Object Detection
DetNet: A Backbone network for Object Detection
Zeming Li
Chao Peng
Gang Yu
Xiangyu Zhang
Yangdong Deng
Jian-jun Sun
ObjD
86
263
0
17 Apr 2018
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,326
0
05 Nov 2016
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