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Interpreting Object-level Foundation Models via Visual Precision Search

Interpreting Object-level Foundation Models via Visual Precision Search

25 November 2024
Ruoyu Chen
Siyuan Liang
Jingzhi Li
Shiming Liu
Maosen Li
Zheng Huang
Qichuan Geng
Xiaochun Cao
    FAtt
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Papers citing "Interpreting Object-level Foundation Models via Visual Precision Search"

49 / 49 papers shown
Title
Jailbreaking the Text-to-Video Generative Models
Jailbreaking the Text-to-Video Generative Models
Jiayang Liu
Siyuan Liang
Shiqian Zhao
Rongcheng Tu
Wenbo Zhou
Xiaochun Cao
D. Tao
Siew Kei Lam
EGVM
VGen
78
2
0
10 May 2025
Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object Detection
Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object Detection
Ruoyu Chen
Hua Zhang
Jingzhi Li
Li Liu
Zhen Huang
Xiaochun Cao
66
0
0
09 Apr 2025
Visual Large Language Models for Generalized and Specialized Applications
Yifan Li
Zhixin Lai
Wentao Bao
Zhen Tan
Anh Dao
Kewei Sui
Jiayi Shen
Dong Liu
Huan Liu
Yu Kong
VLM
121
13
0
06 Jan 2025
Explaining Object Detectors via Collective Contribution of Pixels
Explaining Object Detectors via Collective Contribution of Pixels
Toshinori Yamauchi
Hiroshi Kera
K. Kawamoto
ObjD
FAtt
92
1
0
01 Dec 2024
DetCLIPv3: Towards Versatile Generative Open-vocabulary Object Detection
DetCLIPv3: Towards Versatile Generative Open-vocabulary Object Detection
Lewei Yao
Renjie Pi
Jianhua Han
Xiaodan Liang
Hang Xu
Wei Zhang
Zhenguo Li
Dan Xu
VLM
ObjD
82
24
0
14 Apr 2024
Object Detectors in the Open Environment: Challenges, Solutions, and
  Outlook
Object Detectors in the Open Environment: Challenges, Solutions, and Outlook
Siyuan Liang
Wei Wang
Ruoyu Chen
Aishan Liu
Boxi Wu
Ee-Chien Chang
Xiaochun Cao
Dacheng Tao
ObjD
81
6
0
24 Mar 2024
YOLO-World: Real-Time Open-Vocabulary Object Detection
YOLO-World: Real-Time Open-Vocabulary Object Detection
Tianheng Cheng
Lin Song
Yixiao Ge
Wenyu Liu
Xinggang Wang
Ying Shan
VLM
ObjD
74
281
0
30 Jan 2024
General Object Foundation Model for Images and Videos at Scale
General Object Foundation Model for Images and Videos at Scale
Junfeng Wu
Yi Jiang
Qihao Liu
Zehuan Yuan
Xiang Bai
Song Bai
VOS
VLM
90
40
0
14 Dec 2023
Florence-2: Advancing a Unified Representation for a Variety of Vision
  Tasks
Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks
Bin Xiao
Haiping Wu
Weijian Xu
Xiyang Dai
Houdong Hu
Yumao Lu
Michael Zeng
Ce Liu
Lu Yuan
VLM
87
161
0
10 Nov 2023
Interpreting CLIP's Image Representation via Text-Based Decomposition
Interpreting CLIP's Image Representation via Text-Based Decomposition
Yossi Gandelsman
Alexei A. Efros
Jacob Steinhardt
VLM
49
96
0
09 Oct 2023
End-to-end Autonomous Driving: Challenges and Frontiers
End-to-end Autonomous Driving: Challenges and Frontiers
Li Chen
Peng Wu
Kashyap Chitta
Bernhard Jaeger
Andreas Geiger
Hongyang Li
3DV
101
296
0
29 Jun 2023
Towards Open Vocabulary Learning: A Survey
Towards Open Vocabulary Learning: A Survey
Jianzong Wu
Xiangtai Li
Shilin Xu
Haobo Yuan
Henghui Ding
...
Jiangning Zhang
Yu Tong
Xudong Jiang
Guohao Li
Dacheng Tao
ObjD
VLM
110
144
0
28 Jun 2023
Contextual Object Detection with Multimodal Large Language Models
Contextual Object Detection with Multimodal Large Language Models
Yuhang Zang
Wei Li
Jun Han
Kaiyang Zhou
Chen Change Loy
ObjD
VLM
MLLM
91
84
0
29 May 2023
Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set
  Object Detection
Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection
Shilong Liu
Zhaoyang Zeng
Tianhe Ren
Feng Li
Hao Zhang
...
Chun-yue Li
Jianwei Yang
Hang Su
Jun Zhu
Lei Zhang
ObjD
174
1,964
0
09 Mar 2023
X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item
  Detection
X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection
Aishan Liu
Jun Guo
Jiakai Wang
Siyuan Liang
Renshuai Tao
Wenbo Zhou
Cong Liu
Xianglong Liu
Dacheng Tao
AAML
63
63
0
19 Feb 2023
Generalized Decoding for Pixel, Image, and Language
Generalized Decoding for Pixel, Image, and Language
Xueyan Zou
Zi-Yi Dou
Jianwei Yang
Zhe Gan
Linjie Li
...
Lu Yuan
Nanyun Peng
Lijuan Wang
Yong Jae Lee
Jianfeng Gao
VLM
MLLM
ObjD
74
255
0
21 Dec 2022
Planning-oriented Autonomous Driving
Planning-oriented Autonomous Driving
Yi Hu
Jiazhi Yang
Li Chen
Keyu Li
Chonghao Sima
...
Xiaosong Jia
Qiang Liu
Jifeng Dai
Yu Qiao
Hongyang Li
73
631
0
20 Dec 2022
Comparing the Decision-Making Mechanisms by Transformers and CNNs via
  Explanation Methods
Comparing the Decision-Making Mechanisms by Transformers and CNNs via Explanation Methods
Ming-Xiu Jiang
Saeed Khorram
Li Fuxin
FAtt
64
10
0
13 Dec 2022
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning
Yuyang Gao
Siyi Gu
Junji Jiang
S. Hong
Dazhou Yu
Liang Zhao
64
40
0
07 Dec 2022
A Large-scale Multiple-objective Method for Black-box Attack against
  Object Detection
A Large-scale Multiple-objective Method for Black-box Attack against Object Detection
Siyuan Liang
Longkang Li
Yanbo Fan
Xiaojun Jia
Jingzhi Li
Baoyuan Wu
Xiaochun Cao
AAML
59
35
0
16 Sep 2022
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object
  Detection
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection
Samuel Wilson
Tobias Fischer
Feras Dayoub
Dimity Miller
Niko Sünderhauf
OODD
63
30
0
29 Aug 2022
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for
  real-time object detectors
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Chien-Yao Wang
Alexey Bochkovskiy
H. Liao
ObjD
147
6,515
0
06 Jul 2022
Making Sense of Dependence: Efficient Black-box Explanations Using
  Dependence Measure
Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure
Paul Novello
Thomas Fel
David Vigouroux
FAtt
48
29
0
13 Jun 2022
Parallel Rectangle Flip Attack: A Query-based Black-box Attack against
  Object Detection
Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection
Siyuan Liang
Baoyuan Wu
Yanbo Fan
Xingxing Wei
Xiaochun Cao
AAML
66
72
0
22 Jan 2022
Grounded Language-Image Pre-training
Grounded Language-Image Pre-training
Liunian Harold Li
Pengchuan Zhang
Haotian Zhang
Jianwei Yang
Chunyuan Li
...
Lu Yuan
Lei Zhang
Lei Li
Kai-Wei Chang
Jianfeng Gao
ObjD
VLM
116
1,060
0
07 Dec 2021
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and
  Instance Segmentation
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation
Jungbeom Lee
Jihun Yi
Chaehun Shin
Sungroh Yoon
ISeg
47
173
0
16 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
861
29,341
0
26 Feb 2021
A Review and Comparative Study on Probabilistic Object Detection in
  Autonomous Driving
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving
Di Feng
Ali Harakeh
Steven Waslander
Klaus C. J. Dietmayer
AAML
UQCV
EDL
69
226
0
20 Nov 2020
FCOS: A simple and strong anchor-free object detector
FCOS: A simple and strong anchor-free object detector
Zhi Tian
Chunhua Shen
Hao Chen
Tong He
ObjD
90
623
0
14 Jun 2020
Black-box Explanation of Object Detectors via Saliency Maps
Black-box Explanation of Object Detectors via Saliency Maps
Vitali Petsiuk
R. Jain
Varun Manjunatha
Vlad I. Morariu
Ashutosh Mehra
Vicente Ordonez
Kate Saenko
FAtt
58
124
0
05 Jun 2020
End-to-End Object Detection with Transformers
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT
3DV
PINN
372
13,025
0
26 May 2020
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural
  Networks
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks
Mehdi Neshat
Zifan Wang
Bradley Alexander
Fan Yang
Zijian Zhang
Sirui Ding
Markus Wagner
Xia Hu
FAtt
91
1,066
0
03 Oct 2019
LVIS: A Dataset for Large Vocabulary Instance Segmentation
LVIS: A Dataset for Large Vocabulary Instance Segmentation
Agrim Gupta
Piotr Dollár
Ross B. Girshick
ISeg
VLM
100
1,367
0
08 Aug 2019
Transferable Adversarial Attacks for Image and Video Object Detection
Transferable Adversarial Attacks for Image and Video Object Detection
Xingxing Wei
Siyuan Liang
Ning Chen
Xiaochun Cao
AAML
96
223
0
30 Nov 2018
Explain to Fix: A Framework to Interpret and Correct DNN Object Detector
  Predictions
Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions
Denis A. Gudovskiy
Alec Hodgkinson
Takuya Yamaguchi
Yasunori Ishii
Sotaro Tsukizawa
FAtt
49
13
0
19 Nov 2018
Evaluating Merging Strategies for Sampling-based Uncertainty Techniques
  in Object Detection
Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection
Dimity Miller
Feras Dayoub
Michael Milford
Niko Sünderhauf
96
108
0
17 Sep 2018
RISE: Randomized Input Sampling for Explanation of Black-box Models
RISE: Randomized Input Sampling for Explanation of Black-box Models
Vitali Petsiuk
Abir Das
Kate Saenko
FAtt
175
1,170
0
19 Jun 2018
YOLOv3: An Incremental Improvement
YOLOv3: An Incremental Improvement
Joseph Redmon
Ali Farhadi
ObjD
107
21,432
0
08 Apr 2018
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
Aditya Chattopadhyay
Anirban Sarkar
Prantik Howlader
V. Balasubramanian
FAtt
103
2,294
0
30 Oct 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
672
131,414
0
12 Jun 2017
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.1K
21,864
0
22 May 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
348
27,174
0
20 Mar 2017
Axiomatic Attribution for Deep Networks
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OOD
FAtt
175
5,986
0
04 Mar 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
277
19,981
0
07 Oct 2016
Top-down Neural Attention by Excitation Backprop
Top-down Neural Attention by Excitation Backprop
Jianming Zhang
Zhe Lin
Jonathan Brandt
Xiaohui Shen
Stan Sclaroff
79
947
0
01 Aug 2016
Explaining NonLinear Classification Decisions with Deep Taylor
  Decomposition
Explaining NonLinear Classification Decisions with Deep Taylor Decomposition
G. Montavon
Sebastian Lapuschkin
Alexander Binder
Wojciech Samek
Klaus-Robert Muller
FAtt
60
736
0
08 Dec 2015
SSD: Single Shot MultiBox Detector
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjD
BDL
222
29,808
0
08 Dec 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
493
62,243
0
04 Jun 2015
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
398
43,619
0
01 May 2014
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