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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

2 September 2024
Alberto Bacchin
Davide Allegro
Stefano Ghidoni
Emanuele Menegatti
ArXivPDFHTML

Papers citing "SOOD-ImageNet: a Large-Scale Dataset for Semantic Out-Of-Distribution Image Classification and Semantic Segmentation"

4 / 4 papers shown
Title
Recent Advances in OOD Detection: Problems and Approaches
Recent Advances in OOD Detection: Problems and Approaches
Shuo Lu
YingSheng Wang
Lijun Sheng
Aihua Zheng
Lingxiao He
Jian Liang
OODD
68
3
0
18 Sep 2024
GroupViT: Semantic Segmentation Emerges from Text Supervision
GroupViT: Semantic Segmentation Emerges from Text Supervision
Jiarui Xu
Shalini De Mello
Sifei Liu
Wonmin Byeon
Thomas Breuel
Jan Kautz
Xinyu Wang
ViT
VLM
192
501
0
22 Feb 2022
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
181
689
0
22 Apr 2021
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
183
21,819
0
09 Dec 2016
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