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COCO-O: A Benchmark for Object Detectors under Natural Distribution
  Shifts

COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts

24 July 2023
Xiaofeng Mao
YueFeng Chen
Yao Zhu
Da Chen
Hang Su
Rong Zhang
H. Xue
    ObjD
    OOD
ArXivPDFHTML

Papers citing "COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts"

20 / 20 papers shown
Title
COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts
COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts
Jiansheng Li
Xingxuan Zhang
Hao Zou
Yige Guo
Renzhe Xu
Yilong Liu
Chuzhao Zhu
Yue He
Peng Cui
VLM
37
0
0
14 Apr 2025
Benchmarking Object Detectors under Real-World Distribution Shifts in Satellite Imagery
Benchmarking Object Detectors under Real-World Distribution Shifts in Satellite Imagery
Sara Al-Emadi
Yin Yang
Ferda Ofli
36
0
0
24 Mar 2025
Explainable and Interpretable Multimodal Large Language Models: A
  Comprehensive Survey
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey
Yunkai Dang
Kaichen Huang
Jiahao Huo
Yibo Yan
S. Huang
...
Kun Wang
Yong Liu
Jing Shao
Hui Xiong
Xuming Hu
LRM
96
14
0
03 Dec 2024
Frozen-DETR: Enhancing DETR with Image Understanding from Frozen
  Foundation Models
Frozen-DETR: Enhancing DETR with Image Understanding from Frozen Foundation Models
Shenghao Fu
Junkai Yan
Q. Yang
Xihan Wei
Xiaohua Xie
Wei-Shi Zheng
VLM
25
3
0
25 Oct 2024
From COCO to COCO-FP: A Deep Dive into Background False Positives for
  COCO Detectors
From COCO to COCO-FP: A Deep Dive into Background False Positives for COCO Detectors
Longfei Liu
Wen Guo
S. Huang
Cheng Li
Xi Shen
ObjD
33
0
0
12 Sep 2024
SOOD-ImageNet: a Large-Scale Dataset for Semantic Out-Of-Distribution
  Image Classification and Semantic Segmentation
SOOD-ImageNet: a Large-Scale Dataset for Semantic Out-Of-Distribution Image Classification and Semantic Segmentation
Alberto Bacchin
Davide Allegro
Stefano Ghidoni
Emanuele Menegatti
42
1
0
02 Sep 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
45
20
0
14 Apr 2024
Identification of Fine-grained Systematic Errors via Controlled Scene
  Generation
Identification of Fine-grained Systematic Errors via Controlled Scene Generation
Valentyn Boreiko
Matthias Hein
J. H. Metzen
27
1
0
10 Apr 2024
Open-Vocabulary Object Detectors: Robustness Challenges under
  Distribution Shifts
Open-Vocabulary Object Detectors: Robustness Challenges under Distribution Shifts
Prakash Chandra Chhipa
Kanjar De
Meenakshi Subhash Chippa
Rajkumar Saini
Marcus Liwicki
ObjD
VLM
31
1
0
01 Apr 2024
A Survey on Evaluation of Out-of-Distribution Generalization
A Survey on Evaluation of Out-of-Distribution Generalization
Han Yu
Jiashuo Liu
Xingxuan Zhang
Jiayun Wu
Peng Cui
OOD
42
9
0
04 Mar 2024
Benchmarking Segmentation Models with Mask-Preserved Attribute Editing
Benchmarking Segmentation Models with Mask-Preserved Attribute Editing
Zijin Yin
Kongming Liang
Bing Li
Zhanyu Ma
Jun Guo
VLM
33
2
0
02 Mar 2024
BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal
  Models
BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models
Rizhao Cai
Zirui Song
Dayan Guan
Zhenhao Chen
Xing Luo
Chenyu Yi
Alex C. Kot
MLLM
VLM
25
31
0
05 Dec 2023
AcroFOD: An Adaptive Method for Cross-domain Few-shot Object Detection
AcroFOD: An Adaptive Method for Cross-domain Few-shot Object Detection
Yipeng Gao
Lingxiao Yang
Yunmu Huang
Song Xie
Shiyong Li
Weihao Zheng
ObjD
43
26
0
22 Sep 2022
Are Transformers More Robust Than CNNs?
Are Transformers More Robust Than CNNs?
Yutong Bai
Jieru Mei
Alan Yuille
Cihang Xie
ViT
AAML
183
258
0
10 Nov 2021
ResNet strikes back: An improved training procedure in timm
ResNet strikes back: An improved training procedure in timm
Ross Wightman
Hugo Touvron
Hervé Jégou
AI4TS
209
487
0
01 Oct 2021
Intriguing Properties of Vision Transformers
Intriguing Properties of Vision Transformers
Muzammal Naseer
Kanchana Ranasinghe
Salman Khan
Munawar Hayat
F. Khan
Ming-Hsuan Yang
ViT
251
620
0
21 May 2021
ImageNet-21K Pretraining for the Masses
ImageNet-21K Pretraining for the Masses
T. Ridnik
Emanuel Ben-Baruch
Asaf Noy
Lihi Zelnik-Manor
SSeg
VLM
CLIP
173
686
0
22 Apr 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
252
3,369
0
09 Mar 2020
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Tsung-Yi Lin
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
168
21,804
0
09 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
294
10,216
0
16 Nov 2016
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