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Proper Reuse of Image Classification Features Improves Object Detection
v1v2 (latest)

Proper Reuse of Image Classification Features Improves Object Detection

Computer Vision and Pattern Recognition (CVPR), 2022
1 April 2022
C. N. Vasconcelos
Vighnesh Birodkar
Vincent Dumoulin
    VLM
ArXiv (abs)PDFHTML

Papers citing "Proper Reuse of Image Classification Features Improves Object Detection"

20 / 20 papers shown
Examining the Impact of Optical Aberrations to Image Classification and Object Detection Models
Examining the Impact of Optical Aberrations to Image Classification and Object Detection ModelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Patrick Müller
Alexander Braun
Margret Keuper
376
4
0
25 Apr 2025
Frozen-DETR: Enhancing DETR with Image Understanding from Frozen
  Foundation Models
Frozen-DETR: Enhancing DETR with Image Understanding from Frozen Foundation ModelsNeural Information Processing Systems (NeurIPS), 2024
Shenghao Fu
Junkai Yan
Q. Yang
Xihan Wei
Xiaohua Xie
Wei-Shi Zheng
VLM
331
16
0
25 Oct 2024
Learning to rumble: Automated elephant call classification, detection
  and endpointing using deep architectures
Learning to rumble: Automated elephant call classification, detection and endpointing using deep architectures
Christiaan M. Geldenhuys
Thomas R. Niesler
168
4
0
15 Oct 2024
Investigating Long-term Training for Remote Sensing Object Detection
Investigating Long-term Training for Remote Sensing Object Detection
Yechan Kim
JongHyun Park
Moongu Jeon
297
0
0
21 Jul 2024
Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models
Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models
C. N. Vasconcelos
Abdullah Rashwan Austin Waters
Trevor Walker
Keyang Xu
Jimmy Yan
...
Wenlei Zhou
Kevin Swersky
David J. Fleet
Jason Baldridge
Oliver Wang
298
4
0
27 May 2024
Modality Translation for Object Detection Adaptation Without Forgetting
  Prior Knowledge
Modality Translation for Object Detection Adaptation Without Forgetting Prior KnowledgeEuropean Conference on Computer Vision (ECCV), 2024
H. R. Medeiros
Masih Aminbeidokhti
F. Guerrero-Peña
David Latortue
Eric Granger
M. Pedersoli
VLM
456
4
0
01 Apr 2024
Frozen Feature Augmentation for Few-Shot Image Classification
Frozen Feature Augmentation for Few-Shot Image Classification
Andreas Bär
N. Houlsby
Mostafa Dehghani
Manoj Kumar
VLM
313
21
0
15 Mar 2024
SFC: Shared Feature Calibration in Weakly Supervised Semantic
  Segmentation
SFC: Shared Feature Calibration in Weakly Supervised Semantic SegmentationAAAI Conference on Artificial Intelligence (AAAI), 2024
Xinqiao Zhao
Feilong Tang
Xiaoyang Wang
Jimin Xiao
386
59
0
22 Jan 2024
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed
  Data
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed DataInternational Conference on Learning Representations (ICLR), 2024
Zikai Xiao
Zihan Chen
Liyinglan Liu
Yang Feng
Jian Wu
Wanlu Liu
Qiufeng Wang
Howard H. Yang
Zuo-Qiang Liu
FedML
342
13
0
17 Jan 2024
Can Pre-trained Networks Detect Familiar Out-of-Distribution Data?
Can Pre-trained Networks Detect Familiar Out-of-Distribution Data?
Atsuyuki Miyai
Qing Yu
Go Irie
Kiyoharu Aizawa
OODD
540
8
0
02 Oct 2023
Enhancing Your Trained DETRs with Box Refinement
Enhancing Your Trained DETRs with Box Refinement
Yiqun Chen
Qiang Chen
Pei Sun
Shoufa Chen
Jingdong Wang
Jian Cheng
275
5
0
21 Jul 2023
Human Preference Score v2: A Solid Benchmark for Evaluating Human
  Preferences of Text-to-Image Synthesis
Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis
Xiaoshi Wu
Yiming Hao
Keqiang Sun
Yixiong Chen
Feng Zhu
Rui Zhao
Jiaming Song
376
677
0
15 Jun 2023
RoMa: Robust Dense Feature Matching
RoMa: Robust Dense Feature MatchingComputer Vision and Pattern Recognition (CVPR), 2023
Johan Edstedt
Qiyu Sun
Georg Bökman
Maarten Wadenback
Michael Felsberg
3DV
396
300
0
24 May 2023
Mind the Backbone: Minimizing Backbone Distortion for Robust Object
  Detection
Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection
Kuniaki Saito
Donghyun Kim
Piotr Teterwak
Rogerio Feris
Kate Saenko
341
3
0
26 Mar 2023
Smooth and Stepwise Self-Distillation for Object Detection
Smooth and Stepwise Self-Distillation for Object DetectionInternational Conference on Information Photonics (ICIP), 2023
Jieren Deng
Xiaoxia Zhou
Hao Tian
Zhihong Pan
Derek Aguiar
ObjD
376
3
0
09 Mar 2023
Your representations are in the network: composable and parallel
  adaptation for large scale models
Your representations are in the network: composable and parallel adaptation for large scale modelsNeural Information Processing Systems (NeurIPS), 2023
Yonatan Dukler
Alessandro Achille
Hao Yang
Varsha Vivek
Luca Zancato
Benjamin Bowman
Avinash Ravichandran
Charless C. Fowlkes
A. Swaminathan
Stefano Soatto
349
4
0
07 Mar 2023
Universal Object Detection with Large Vision Model
Universal Object Detection with Large Vision ModelInternational Journal of Computer Vision (IJCV), 2022
Feng-Huei Lin
Wenze Hu
Yaowei Wang
Yonghong Tian
Guangming Lu
Fanglin Chen
Yong-mei Xu
Xiaoyu Wang
VLMObjD
346
10
0
19 Dec 2022
Could Giant Pretrained Image Models Extract Universal Representations?
Could Giant Pretrained Image Models Extract Universal Representations?Neural Information Processing Systems (NeurIPS), 2022
Yutong Lin
Ze Liu
Zheng Zhang
Han Hu
Nanning Zheng
Stephen Lin
Yue Cao
VLM
228
10
0
03 Nov 2022
F-VLM: Open-Vocabulary Object Detection upon Frozen Vision and Language
  Models
F-VLM: Open-Vocabulary Object Detection upon Frozen Vision and Language Models
Weicheng Kuo
Huayu Chen
Xiuye Gu
A. Piergiovanni
A. Angelova
MLLMVLMObjD
538
184
0
30 Sep 2022
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable ConvolutionsComputer Vision and Pattern Recognition (CVPR), 2016
François Chollet
MDEBDLPINN
3.6K
17,346
0
07 Oct 2016
1
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