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Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown
  Objects
v1v2v3 (latest)

Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects

24 March 2023
Wenteng Liang
Feng Xue
Yihao Liu
Guofeng Zhong
Anlong Ming
ArXiv (abs)PDFHTML

Papers citing "Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects"

28 / 28 papers shown
Title
Cues3D: Unleashing the Power of Sole NeRF for Consistent and Unique Instances in Open-Vocabulary 3D Panoptic Segmentation
Cues3D: Unleashing the Power of Sole NeRF for Consistent and Unique Instances in Open-Vocabulary 3D Panoptic Segmentation
Feng Xue
Wenzhuang Xu
Guofeng Zhong
Anlong Minga
N. Sebe
125
0
0
01 May 2025
Enhancing Novel Object Detection via Cooperative Foundational Models
Enhancing Novel Object Detection via Cooperative Foundational Models
Rohit K Bharadwaj
Muzammal Naseer
Salman Khan
Fahad Shahbaz Khan
ObjDVLM
293
1
0
17 Jan 2025
On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Data
On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Data
Aitor Martinez-Seras
Javier Del Ser
Alain Andres
Pablo García Bringas
Pablo Garcia-Bringas
OODD
101
0
0
07 Nov 2024
AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios
AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios
Ziming Huang
Xurui Li
Haotian Liu
Feng Xue
Yuzhe Wang
Yu Zhou
122
0
0
18 Oct 2024
OW-Rep: Open World Object Detection with Instance Representation Learning
OW-Rep: Open World Object Detection with Instance Representation Learning
Sunoh Lee
Minsik Jeon
Jihong Min
Junwon Seo
ObjD
477
0
0
24 Sep 2024
DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection
DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection
Jia Syuen Lim
Zhuoxiao Chen
Mahsa Baktashmotlagh
Zhi Chen
Xin Yu
Zi Huang
Yadan Luo
VLMObjD
149
1
0
21 Jun 2024
Unknown-Aware Object Detection: Learning What You Don't Know from Videos
  in the Wild
Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild
Xuefeng Du
Xin Eric Wang
Gabriel Gozum
Yixuan Li
OODD
106
92
0
08 Mar 2022
Revisiting Open World Object Detection
Revisiting Open World Object Detection
Xiaowei Zhao
Xianglong Liu
Yifan Shen
Yixuan Qiao
Yuqing Ma
Duorui Wang
129
52
0
03 Jan 2022
Tiny Obstacle Discovery by Occlusion-Aware Multilayer Regression
Tiny Obstacle Discovery by Occlusion-Aware Multilayer Regression
Feng Xue
Anlong Ming
Yu Zhou
59
17
0
17 Nov 2021
Objects in Semantic Topology
Objects in Semantic Topology
Shuo Yang
Pei Sun
Yi Jiang
Xiaobo Xia
Ruiheng Zhang
Zehuan Yuan
Changhu Wang
Ping Luo
Min Xu
ObjD
143
29
0
06 Oct 2021
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Xizhou Zhu
Weijie Su
Lewei Lu
Bin Li
Xiaogang Wang
Jifeng Dai
ViT
253
5,102
0
08 Oct 2020
Energy-based Out-of-distribution Detection
Energy-based Out-of-distribution Detection
Weitang Liu
Xiaoyun Wang
John Douglas Owens
Yixuan Li
OODD
273
1,374
0
08 Oct 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
ViT3DVPINN
440
13,130
0
26 May 2020
TANet: Robust 3D Object Detection from Point Clouds with Triple
  Attention
TANet: Robust 3D Object Detection from Point Clouds with Triple Attention
Zhe Liu
Xin Zhao
Tengteng Huang
Ruolan Hu
Yu Zhou
X. Bai
3DPC
71
349
0
11 Dec 2019
A Novel Multi-layer Framework for Tiny Obstacle Discovery
A Novel Multi-layer Framework for Tiny Obstacle Discovery
Feng Xue
Anlong Ming
Menghan Zhou
Yu Zhou
78
22
0
23 Apr 2019
Improving Reconstruction Autoencoder Out-of-distribution Detection with
  Mahalanobis Distance
Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance
Taylor Denouden
Rick Salay
Krzysztof Czarnecki
Vahdat Abdelzad
Buu Phan
Sachin Vernekar
OODD
61
123
0
06 Dec 2018
Probabilistic Object Detection: Definition and Evaluation
Probabilistic Object Detection: Definition and Evaluation
David Hall
Feras Dayoub
John Skinner
Haoyang Zhang
Dimity Miller
Peter Corke
G. Carneiro
A. Angelova
Niko Sünderhauf
UQCV
82
110
0
27 Nov 2018
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Feng Yu
Haofeng Chen
Xin Wang
Wenqi Xian
Yingying Chen
Fangchen Liu
Vashisht Madhavan
Trevor Darrell
VLM
346
2,158
0
12 May 2018
Cascade R-CNN: Delving into High Quality Object Detection
Cascade R-CNN: Delving into High Quality Object Detection
Zhaowei Cai
Nuno Vasconcelos
ObjD
149
4,943
0
03 Dec 2017
CARLA: An Open Urban Driving Simulator
CARLA: An Open Urban Driving Simulator
Alexey Dosovitskiy
G. Ros
Felipe Codevilla
Antonio M. López
V. Koltun
VLM
146
5,212
0
10 Nov 2017
Enhancing The Reliability of Out-of-distribution Image Detection in
  Neural Networks
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
Shiyu Liang
Yixuan Li
R. Srikant
UQCVOODD
171
2,082
0
08 Jun 2017
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of
  the Art
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art
J. Janai
Fatma Guney
Aseem Behl
Andreas Geiger
158
797
0
18 Apr 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
369
27,253
0
20 Mar 2017
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLMObjD
183
15,641
0
25 Dec 2016
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
488
22,158
0
09 Dec 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples
  in Neural Networks
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Dan Hendrycks
Kevin Gimpel
UQCV
176
3,480
0
07 Oct 2016
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
ObjDBDL
257
29,879
0
08 Dec 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCVBDL
863
9,353
0
06 Jun 2015
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