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SAN: Learning Relationship between Convolutional Features for
  Multi-Scale Object Detection

SAN: Learning Relationship between Convolutional Features for Multi-Scale Object Detection

15 August 2018
Y. Kim
Bong-Nam Kang
Daijin Kim
    ObjD
ArXivPDFHTML

Papers citing "SAN: Learning Relationship between Convolutional Features for Multi-Scale Object Detection"

13 / 13 papers shown
Title
Edge-aware Feature Aggregation Network for Polyp Segmentation
Edge-aware Feature Aggregation Network for Polyp Segmentation
Tao Zhou
Yizhe Zhang
Geng Chen
Yi Zhou
Ye Wu
Deng-Ping Fan
128
6
0
19 Sep 2023
RFLA: Gaussian Receptive Field based Label Assignment for Tiny Object
  Detection
RFLA: Gaussian Receptive Field based Label Assignment for Tiny Object Detection
Chang Xu
Jinwang Wang
Wen Yang
Huai Yu
Lei Yu
Guisong Xia
ObjD
30
129
0
18 Aug 2022
No More Strided Convolutions or Pooling: A New CNN Building Block for
  Low-Resolution Images and Small Objects
No More Strided Convolutions or Pooling: A New CNN Building Block for Low-Resolution Images and Small Objects
Raja Sunkara
Tie-Mei Luo
ObjD
19
320
0
07 Aug 2022
Detecting tiny objects in aerial images: A normalized Wasserstein
  distance and a new benchmark
Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark
Chang Xu
Jinwang Wang
Wen Yang
Huai Yu
Lei Yu
Guisong Xia
30
155
0
28 Jun 2022
A Normalized Gaussian Wasserstein Distance for Tiny Object Detection
A Normalized Gaussian Wasserstein Distance for Tiny Object Detection
Jinwang Wang
Chang Xu
Wen Yang
Lei Yu
36
309
0
26 Oct 2021
GraphFPN: Graph Feature Pyramid Network for Object Detection
GraphFPN: Graph Feature Pyramid Network for Object Detection
Gangming Zhao
Weifeng Ge
Yizhou Yu
ObjD
23
58
0
02 Aug 2021
Dense Relation Distillation with Context-aware Aggregation for Few-Shot
  Object Detection
Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection
Hanzhe Hu
Shuai Bai
Aoxue Li
J. Cui
Liwei Wang
ObjD
21
154
0
30 Mar 2021
The Devils in the Point Clouds: Studying the Robustness of Point Cloud
  Convolutions
The Devils in the Point Clouds: Studying the Robustness of Point Cloud Convolutions
Xingyi Li
Wenxuan Wu
Xiaoli Z. Fern
Li Fuxin
3DPC
22
4
0
19 Jan 2021
MM-FSOD: Meta and metric integrated few-shot object detection
MM-FSOD: Meta and metric integrated few-shot object detection
Yuewen Li
W. Feng
Shuchang Lyu
Qi Zhao
Xuliang Li
ObjD
12
12
0
30 Dec 2020
Multi-Scale Positive Sample Refinement for Few-Shot Object Detection
Multi-Scale Positive Sample Refinement for Few-Shot Object Detection
Jiaxi Wu
Songtao Liu
Di Huang
Yunhong Wang
ObjD
17
282
0
18 Jul 2020
NETNet: Neighbor Erasing and Transferring Network for Better Single Shot
  Object Detection
NETNet: Neighbor Erasing and Transferring Network for Better Single Shot Object Detection
Yazhao Li
Yanwei Pang
Jianbing Shen
Jiale Cao
Ling Shao
ObjD
16
33
0
18 Jan 2020
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object
  Detection
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
Golnaz Ghiasi
Tsung-Yi Lin
Ruoming Pang
Quoc V. Le
ObjD
19
1,380
0
16 Apr 2019
Deep Learning for Generic Object Detection: A Survey
Deep Learning for Generic Object Detection: A Survey
Li Liu
Wanli Ouyang
Xiaogang Wang
Paul Fieguth
Jie Chen
Xinwang Liu
M. Pietikäinen
ObjD
VLM
OOD
70
2,417
0
06 Sep 2018
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