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BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale
  Weakly Supervised Applications

BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale Weakly Supervised Applications

7 September 2023
Jiatai Lin
Guoqiang Han
Xuemiao Xu
C. Liang
T. Wong
C. L. P. Chen
Zaiyi Liu
Chu Han
    VLM
ArXivPDFHTML

Papers citing "BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale Weakly Supervised Applications"

4 / 4 papers shown
Title
IODeep: an IOD for the introduction of deep learning in the DICOM
  standard
IODeep: an IOD for the introduction of deep learning in the DICOM standard
Salvatore Contino
Luca Cruciata
O. Gambino
Roberto Pirrone
29
0
0
10 Nov 2023
NuCLS: A scalable crowdsourcing, deep learning approach and dataset for
  nucleus classification, localization and segmentation
NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation
M. Amgad
Lamees A. Atteya
Hagar Hussein
K. Mohammed
Ehab Hafiz
...
Critical Care
David Manthey
Atlanta
D. Neurology
Lurie Cancer Center
34
73
0
18 Feb 2021
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Zifeng Wu
Chunhua Shen
Anton Van Den Hengel
SSeg
260
1,491
0
30 Nov 2016
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,198
0
01 Sep 2014
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