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Few-Shot Object Detection with Fully Cross-Transformer
v1v2 (latest)

Few-Shot Object Detection with Fully Cross-Transformer

Computer Vision and Pattern Recognition (CVPR), 2022
28 March 2022
G. Han
Jiawei Ma
Shiyuan Huang
Long Chen
Shih-Fu Chang
ArXiv (abs)PDFHTML

Papers citing "Few-Shot Object Detection with Fully Cross-Transformer"

34 / 34 papers shown
FSP-DETR: Few-Shot Prototypical Parasitic Ova Detection
FSP-DETR: Few-Shot Prototypical Parasitic Ova Detection
Shubham Trehan
U. Ramachandran
Akash Rao
Ruth Scimeca
Sathyanarayanan N. Aakur
VLM
134
0
0
10 Oct 2025
Few-Shot Pattern Detection via Template Matching and Regression
Few-Shot Pattern Detection via Template Matching and Regression
Eunchan Jo
Dahyun Kang
Sanghyun Kim
Yunseon Choi
Minsu Cho
141
0
0
25 Aug 2025
Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation
Decoupling Classifier for Boosting Few-shot Object Detection and Instance SegmentationNeural Information Processing Systems (NeurIPS), 2025
Bin-Bin Gao
Xiaochen Chen
Z. Huang
Congchong Nie
Jun Liu
Jinxiang Lai
Guannan Jiang
Xi-Zhao Wang
Chengjie Wang
458
41
0
20 May 2025
Multi-Perspective Data Augmentation for Few-shot Object Detection
Multi-Perspective Data Augmentation for Few-shot Object DetectionInternational Conference on Learning Representations (ICLR), 2025
Anh-Khoa Nguyen Vu
Quoc-Truong Truong
Vinh-Tiep Nguyen
T. Ngo
Thanh-Toan Do
Tam V. Nguyen
428
7
0
25 Feb 2025
Cross-domain Few-shot Object Detection with Multi-modal Textual Enrichment
Cross-domain Few-shot Object Detection with Multi-modal Textual Enrichment
Zeyu Shangguan
Daniel Seita
Mohammad Rostami
ObjD
350
1
0
23 Feb 2025
Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images
Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images
Xiangyong Lu
Masanori Suganuma
Takayuki Okatani
481
2
0
03 Dec 2024
MoDE: CLIP Data Experts via Clustering
MoDE: CLIP Data Experts via Clustering
Jiawei Ma
Po-Yao Huang
Saining Xie
Shang-Wen Li
Luke Zettlemoyer
Shih-Fu Chang
Anuj Kumar
Hu Xu
MoECLIPVLM
269
26
0
24 Apr 2024
AirShot: Efficient Few-Shot Detection for Autonomous Exploration
AirShot: Efficient Few-Shot Detection for Autonomous Exploration
Zihan Wang
Bowen Li
Chen Wang
Sebastian A. Scherer
240
12
0
07 Apr 2024
Cross-domain Multi-modal Few-shot Object Detection via Rich Text
Cross-domain Multi-modal Few-shot Object Detection via Rich TextIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Zeyu Shangguan
Daniel Seita
Mohammad Rostami
ObjD
446
3
0
24 Mar 2024
SKU-Patch: Towards Efficient Instance Segmentation for Unseen Objects in
  Auto-Store
SKU-Patch: Towards Efficient Instance Segmentation for Unseen Objects in Auto-Store
Biqi Yang
Weiliang Tang
Xiaojie Gao
Xianzhi Li
Yunhui Liu
Chi-Wing Fu
Pheng-Ann Heng
225
1
0
08 Nov 2023
Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection
Re-Scoring Using Image-Language Similarity for Few-Shot Object DetectionComputer Vision and Image Understanding (CVIU), 2023
Min Jae Jung
S. Han
Joohee Kim
402
23
0
01 Nov 2023
Detect Everything with Few Examples
Detect Everything with Few ExamplesConference on Robot Learning (CoRL), 2023
Xinyu Zhang
Yuting Wang
Abdeslam Boularias
ObjDVLM
376
23
0
22 Sep 2023
ECEA: Extensible Co-Existing Attention for Few-Shot Object Detection
ECEA: Extensible Co-Existing Attention for Few-Shot Object DetectionIEEE Transactions on Image Processing (IEEE TIP), 2023
Zhimeng Xin
Tianxu Wu
Shiming Chen
Yixiong Zou
Ling Shao
Xinge You
184
15
0
15 Sep 2023
Machine Learning for Autonomous Vehicle's Trajectory Prediction: A
  comprehensive survey, Challenges, and Future Research Directions
Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research DirectionsVehicular Communications (Veh. Commun.), 2023
Vibha Bharilya
Neetesh Kumar
296
108
0
12 Jul 2023
The Art of Camouflage: Few-shot Learning for Animal Detection and
  Segmentation
The Art of Camouflage: Few-shot Learning for Animal Detection and SegmentationIEEE Access (IEEE Access), 2023
Thanh-Tung Phan-Nguyen
Anh-Khoa Nguyen Vu
Nhat-Duy Nguyen
Vinh-Tiep Nguyen
T. Ngo
Thanh-Toan Do
M. Tran
Tam V. Nguyen
348
9
0
15 Apr 2023
Generating Features with Increased Crop-related Diversity for Few-Shot
  Object Detection
Generating Features with Increased Crop-related Diversity for Few-Shot Object DetectionComputer Vision and Pattern Recognition (CVPR), 2023
Aoxiang Fan
Hieu M. Le
Dimitris Samaras
ObjD
280
44
0
11 Apr 2023
DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot
  Object Detection
DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object DetectionComputer Vision and Pattern Recognition (CVPR), 2023
Jiawei Ma
Yulei Niu
Jincheng Xu
Shiyuan Huang
G. Han
Shih-Fu Chang
ObjD
229
65
0
16 Mar 2023
An Effective Crop-Paste Pipeline for Few-shot Object Detection
An Effective Crop-Paste Pipeline for Few-shot Object Detection
Shaobo Lin
Kun Wang
Xingyu Zeng
Ruili Zhao
307
11
0
28 Feb 2023
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance
  Segmentation
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance SegmentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Yue Han
Jiangning Zhang
Zhucun Xue
Chao Xu
Xintian Shen
Yabiao Wang
Chengjie Wang
Yong Liu
Xiangtai Li
359
24
0
03 Jan 2023
Proposal Distribution Calibration for Few-Shot Object Detection
Proposal Distribution Calibration for Few-Shot Object DetectionIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Bohao Li
Chang-rui Liu
Mengnan Shi
Xiaozhong Chen
Xiang Ji
QiXiang Ye
ObjD
237
12
0
15 Dec 2022
Breaking Immutable: Information-Coupled Prototype Elaboration for
  Few-Shot Object Detection
Breaking Immutable: Information-Coupled Prototype Elaboration for Few-Shot Object DetectionAAAI Conference on Artificial Intelligence (AAAI), 2022
Xiaonan Lu
Wenhui Diao
Yongqiang Mao
Junxi Li
Peijin Wang
Xian Sun
Kun Fu
ObjD
214
60
0
27 Nov 2022
Enhancing Few-shot Image Classification with Cosine Transformer
Enhancing Few-shot Image Classification with Cosine TransformerIEEE Access (IEEE Access), 2022
Quang-Huy Nguyen
Cuong Q. Nguyen
Dung D. Le
Hieu H. Pham
ViT
312
18
0
13 Nov 2022
A Comparative Attention Framework for Better Few-Shot Object Detection
  on Aerial Images
A Comparative Attention Framework for Better Few-Shot Object Detection on Aerial Images
Pierre Le Jeune
Anissa Zergaïnoh-Mokraoui
ObjD
254
8
0
25 Oct 2022
FS-DETR: Few-Shot DEtection TRansformer with prompting and without
  re-training
FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-trainingIEEE International Conference on Computer Vision (ICCV), 2022
Adrian Bulat
Ricardo Guerrero
Brais Martínez
Georgios Tzimiropoulos
268
52
0
10 Oct 2022
Hierarchical Few-Shot Object Detection: Problem, Benchmark and Method
Hierarchical Few-Shot Object Detection: Problem, Benchmark and MethodACM Multimedia (ACM MM), 2022
Jun Liu
Yang Wang
Jiaogen Zhou
Chenbo Zhang
Yinglu Zhang
Jihong Guan
Yatao Bian
Shuigeng Zhou
305
16
0
08 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 PerspectiveAAAI Conference on Artificial Intelligence (AAAI), 2022
Jiangmeng Li
Yanan Zhang
Jingyao Wang
Hui Xiong
Chengbo Jiao
Xiaohui Hu
Changwen Zheng
Gang Hua
CML
303
44
0
26 Aug 2022
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers
  for Few-Shot Classification
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification
Xixi Wang
Tianlin Li
Bo Jiang
Bin Luo
312
59
0
26 Aug 2022
Hierarchical Attention Network for Few-Shot Object Detection via
  Meta-Contrastive Learning
Hierarchical Attention Network for Few-Shot Object Detection via Meta-Contrastive Learning
Dong Huk Park
Jongmin Lee
ObjD
474
17
0
15 Aug 2022
Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual
  Object Detection
Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object DetectionIEEE International Conference on Computer Vision (ICCV), 2022
Yifan Zhang
Xiaosong Zhang
Zhiliang Peng
Zonghao Guo
Fang Wan
Xian-Wei Ji
QiXiang Ye
ObjD
257
28
0
19 May 2022
Multi-Modal Few-Shot Object Detection with Meta-Learning-Based
  Cross-Modal Prompting
Multi-Modal Few-Shot Object Detection with Meta-Learning-Based Cross-Modal Prompting
G. Han
Long Chen
Jiawei Ma
Shiyuan Huang
Ramalingam Chellappa
Shih-Fu Chang
VLM
403
26
0
16 Apr 2022
Few-Shot Object Detection: A Comprehensive Survey
Few-Shot Object Detection: A Comprehensive SurveyIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Mona Köhler
M. Eisenbach
H. Groß
ObjD
270
105
0
22 Dec 2021
A Survey of Deep Learning for Low-Shot Object Detection
A Survey of Deep Learning for Low-Shot Object DetectionACM Computing Surveys (CSUR), 2021
Qihan Huang
Haofei Zhang
Mengqi Xue
Mingli Song
Xiuming Zhang
ObjD
480
23
0
06 Dec 2021
Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with
  Attentive Feature Alignment
Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature AlignmentAAAI Conference on Artificial Intelligence (AAAI), 2021
G. Han
Shiyuan Huang
Jiawei Ma
Yicheng He
Shih-Fu Chang
ObjD
412
197
0
15 Apr 2021
Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition
Task-Adaptive Negative Envision for Few-Shot Open-Set RecognitionComputer Vision and Pattern Recognition (CVPR), 2020
Shiyuan Huang
Jiawei Ma
G. Han
Shih-Fu Chang
BDL
357
30
0
24 Dec 2020
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