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ISAR: A Benchmark for Single- and Few-Shot Object Instance Segmentation
  and Re-Identification

ISAR: A Benchmark for Single- and Few-Shot Object Instance Segmentation and Re-Identification

5 November 2023
Nicolas Gorlo
Kenneth Blomqvist
Francesco Milano
Roland Siegwart
    VLM
ArXivPDFHTML

Papers citing "ISAR: A Benchmark for Single- and Few-Shot Object Instance Segmentation and Re-Identification"

5 / 5 papers shown
Title
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation
Bohao Peng
Zhuotao Tian
Xiaoyang Wu
Chenyao Wang
Shu Liu
Jingyong Su
Jiaya Jia
42
71
0
26 Mar 2023
Baking in the Feature: Accelerating Volumetric Segmentation by Rendering
  Feature Maps
Baking in the Feature: Accelerating Volumetric Segmentation by Rendering Feature Maps
Kenneth Blomqvist
Lionel Ott
Jen Jen Chung
Roland Siegwart
38
11
0
26 Sep 2022
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight
  Transformer
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer
Zhihe Lu
Sen He
Xiatian Zhu
Li Zhang
Yi-Zhe Song
Tao Xiang
ViT
164
172
0
06 Aug 2021
Learning Meta-class Memory for Few-Shot Semantic Segmentation
Learning Meta-class Memory for Few-Shot Semantic Segmentation
Zhonghua Wu
Xiangxi Shi
Guosheng lin
Jianfei Cai
VLM
53
108
0
06 Aug 2021
On the Unreasonable Effectiveness of Centroids in Image Retrieval
On the Unreasonable Effectiveness of Centroids in Image Retrieval
Mikolaj Wieczorek
Barbara Rychalska
Jacek Dąbrowski
50
102
0
28 Apr 2021
1