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Label, Verify, Correct: A Simple Few Shot Object Detection Method

Label, Verify, Correct: A Simple Few Shot Object Detection Method

10 December 2021
Prannay Kaul
Weidi Xie
Andrew Zisserman
    ObjD
ArXivPDFHTML

Papers citing "Label, Verify, Correct: A Simple Few Shot Object Detection Method"

16 / 16 papers shown
Title
Detect Everything with Few Examples
Detect Everything with Few Examples
Xinyu Zhang
Yuting Wang
Abdeslam Boularias
ObjD
VLM
26
13
0
22 Sep 2023
M$^3$Net: Multi-view Encoding, Matching, and Fusion for Few-shot
  Fine-grained Action Recognition
M3^33Net: Multi-view Encoding, Matching, and Fusion for Few-shot Fine-grained Action Recognition
Hao Tang
Jun Liu
Shuanglin Yan
Rui Yan
Zechao Li
Jinhui Tang
19
37
0
06 Aug 2023
Generating Features with Increased Crop-related Diversity for Few-Shot
  Object Detection
Generating Features with Increased Crop-related Diversity for Few-Shot Object Detection
Jingyi Xu
Hieu M. Le
Dimitris Samaras
ObjD
15
26
0
11 Apr 2023
Explore the Power of Synthetic Data on Few-shot Object Detection
Explore the Power of Synthetic Data on Few-shot Object Detection
Shaobo Lin
Kun Wang
Xingyu Zeng
Ruili Zhao
29
32
0
23 Mar 2023
OvarNet: Towards Open-vocabulary Object Attribute Recognition
OvarNet: Towards Open-vocabulary Object Attribute Recognition
Keyan Chen
Xiaolong Jiang
Yao Hu
Xu Tang
Yan Gao
Jianqi Chen
Weidi Xie
VLM
ObjD
34
40
0
23 Jan 2023
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance
  Segmentation
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation
Yue Han
Jiangning Zhang
Zhucun Xue
Chao Xu
Xintian Shen
Yabiao Wang
Chengjie Wang
Yong Liu
Xiangtai Li
34
17
0
03 Jan 2023
Proposal Distribution Calibration for Few-Shot Object Detection
Proposal Distribution Calibration for Few-Shot Object Detection
Bohao Li
Chang-rui Liu
Mengnan Shi
Xiaozhong Chen
Xiang Ji
QiXiang Ye
ObjD
24
5
0
15 Dec 2022
Few-shot Object Detection with Refined Contrastive Learning
Few-shot Object Detection with Refined Contrastive Learning
Zeyu Shangguan
Lian Huai
Tong Liu
Xingqun Jiang
22
7
0
24 Nov 2022
Towards Generalized Few-Shot Open-Set Object Detection
Towards Generalized Few-Shot Open-Set Object Detection
Binyi Su
Hua Zhang
Jingzhi Li
Zhongjun Zhou
48
9
0
28 Oct 2022
Disentangle and Remerge: Interventional Knowledge Distillation for
  Few-Shot Object Detection from A Conditional Causal Perspective
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal Perspective
Jiangmeng Li
Yanan Zhang
Wenwen Qiang
Lingyu Si
Chengbo Jiao
Xiaohui Hu
Changwen Zheng
Fuchun Sun
CML
34
28
0
26 Aug 2022
Tunable Hybrid Proposal Networks for the Open World
Tunable Hybrid Proposal Networks for the Open World
Matthew J. Inkawhich
Nathan Inkawhich
H. Li
Yiran Chen
24
2
0
23 Aug 2022
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
317
5,775
0
29 Apr 2021
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection
Chenchen Zhu
Fangyi Chen
Uzair Ahmed
Zhiqiang Shen
Marios Savvides
ObjD
97
178
0
02 Mar 2021
CrossTransformers: spatially-aware few-shot transfer
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch
Ankush Gupta
Andrew Zisserman
ViT
212
330
0
22 Jul 2020
Frustratingly Simple Few-Shot Object Detection
Frustratingly Simple Few-Shot Object Detection
Xin Wang
Thomas E. Huang
Trevor Darrell
Joseph E. Gonzalez
F. I. F. Richard Yu
ObjD
95
544
0
16 Mar 2020
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning
Xiaopeng Yan
Ziliang Chen
Anni Xu
Xiaoxi Wang
Xiaodan Liang
Liang Lin
ObjD
160
446
0
28 Sep 2019
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