RAPNet : Resolution-Adaptive and Predictive Early Exit Network for Efficient Image Recognition

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Fingerprint

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Computer Science

100
Classifier Computer Science
100
Accuracy Computer Science
66
Procedure Computer Science
66
Deep Neural Network Computer Science
33
Image Classificatio... Computer Science
33
Network Architectur... Computer Science
33
image feature Computer Science
33
Network Inference Computer Science
33
Spatial Redundancy Computer Science
33
Convolutional Neura... Computer Science
33
Feature Fusion Mech... Computer Science
33
Inference Computati... Computer Science

Keyphrases

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Adaptive Prediction Keyphrases
100
Image Recognition Keyphrases
100
Prediction Network Keyphrases
100
Resolution-adaptive Keyphrases
100
Early-exit Networks Keyphrases
100
Network Resolution Keyphrases
57
Early Exit Keyphrases
42
Internal Classifier Keyphrases
28
Deep Neural Network Keyphrases
14
Accuracy Improvemen... Keyphrases
14
Image Classificatio... Keyphrases
14
Architecture-centri... Keyphrases
14
Network Architectur... Keyphrases
14
Adaptive Features Keyphrases
14
Resource-constraine... Keyphrases
14
Global Image Featur... Keyphrases
14
Feature Fusion Keyphrases
14
Spatial Redundancy Keyphrases
14
ImageNet Keyphrases
14
End Device Keyphrases
14
Network Depth Keyphrases
14
Convolutional Neura... Keyphrases
14
Computation Reuse Keyphrases
14
Compute-intensive Keyphrases
14
Fusion Mechanism Keyphrases
14
CIFAR-100 Keyphrases
14
Inference Network Keyphrases
14
Computational Const... Keyphrases
14
MobileNet Keyphrases
14
Sequential Executio... Keyphrases
14
Selective Inference Keyphrases

INIS

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prediction INIS
100
images INIS
100
resolution INIS
57
architecture INIS
42
accuracy INIS
42
neural networks INIS
28
datasets INIS
14
constraints INIS
14
calculation methods INIS
14
capture INIS
14
resources INIS
14
devices INIS
14
depth INIS
14
classification INIS
14
redundancy INIS
Research OutputsResearch Output authored by RAPNet is tagged with the concept