ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2401.09109
  4. Cited By
Trapped in texture bias? A large scale comparison of deep instance
  segmentation

Trapped in texture bias? A large scale comparison of deep instance segmentation

17 January 2024
J. Theodoridis
Jessica Hofmann
J. Maucher
A. Schilling
    SSeg
ArXivPDFHTML

Papers citing "Trapped in texture bias? A large scale comparison of deep instance segmentation"

11 / 11 papers shown
Title
Vision-Centric Representation-Efficient Fine-Tuning for Robust Universal Foreground Segmentation
Vision-Centric Representation-Efficient Fine-Tuning for Robust Universal Foreground Segmentation
Guoyi Zhang
Siyang Chen
Guangsheng Xu
Han Wang
Xiaohu Zhang
34
0
0
20 Apr 2025
On Background Bias of Post-Hoc Concept Embeddings in Computer Vision DNNs
On Background Bias of Post-Hoc Concept Embeddings in Computer Vision DNNs
Gesina Schwalbe
Georgii Mikriukov
Edgar Heinert
Stavros Gerolymatos
Mert Keser
Alois Knoll
Matthias Rottmann
Annika Mütze
31
0
0
11 Apr 2025
Shape Bias and Robustness Evaluation via Cue Decomposition for Image Classification and Segmentation
Shape Bias and Robustness Evaluation via Cue Decomposition for Image Classification and Segmentation
Edgar Heinert
Thomas Gottwald
Annika Mütze
Matthias Rottmann
62
0
0
16 Mar 2025
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
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Yin Cui
A. Srinivas
Rui Qian
Tsung-Yi Lin
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
226
968
0
13 Dec 2020
On the Binding Problem in Artificial Neural Networks
On the Binding Problem in Artificial Neural Networks
Klaus Greff
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
224
254
0
09 Dec 2020
On the surprising similarities between supervised and self-supervised
  models
On the surprising similarities between supervised and self-supervised models
Robert Geirhos
Kantharaju Narayanappa
Benjamin Mitzkus
Matthias Bethge
Felix Wichmann
Wieland Brendel
OOD
SSL
DRL
69
46
0
16 Oct 2020
Conditional Convolutions for Instance Segmentation
Conditional Convolutions for Instance Segmentation
Zhi Tian
Chunhua Shen
Hao Chen
ISeg
171
597
0
12 Mar 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
264
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
171
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
1