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Improving the trustworthiness of image classification models by
  utilizing bounding-box annotations

Improving the trustworthiness of image classification models by utilizing bounding-box annotations

15 August 2021
K. Dharma
Chicheng Zhang
ArXivPDFHTML

Papers citing "Improving the trustworthiness of image classification models by utilizing bounding-box annotations"

4 / 4 papers shown
Title
Large Language Models as Attribution Regularizers for Efficient Model Training
Large Language Models as Attribution Regularizers for Efficient Model Training
Davor Vukadin
Marin Šilić
Goran Delač
41
0
0
27 Feb 2025
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning
Yuyang Gao
Siyi Gu
Junji Jiang
S. Hong
Dazhou Yu
Liang Zhao
29
39
0
07 Dec 2022
Towards Better Guided Attention and Human Knowledge Insertion in Deep
  Convolutional Neural Networks
Towards Better Guided Attention and Human Knowledge Insertion in Deep Convolutional Neural Networks
Ankit Gupta
I. Sintorn
HAI
14
1
0
20 Oct 2022
SIM-ECG: A Signal Importance Mask-driven ECGClassification System
SIM-ECG: A Signal Importance Mask-driven ECGClassification System
K. Dharma
Chicheng Zhang
C. Gniady
P. Agarwal
Sushil Sharma
28
0
0
28 Oct 2021
1