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Papers - Image - InceptionResNet

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

Paper • 1707.02968 • Published Jul 10, 2017 • 1
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

Paper • 1602.07261 • Published Feb 23, 2016 • 1

Papers - Image - Human Pose Estimation - Coco

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

Paper • 1707.02968 • Published Jul 10, 2017 • 1

Papers - Image - Faster RCNN - Region Proposal Network (RPN)

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

Paper • 1707.02968 • Published Jul 10, 2017 • 1

Papers - Image - Faster RCNN - 2nd Stage - Box Classifier

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

Paper • 1707.02968 • Published Jul 10, 2017 • 1

Papers - Image - Region Proposal Network (RPN)

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

Paper • 1707.02968 • Published Jul 10, 2017 • 1

Papers - Image - Faster RCNN

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

Paper • 1707.02968 • Published Jul 10, 2017 • 1

Papers - Image - Semantic Segmentation - Benchmark - PASCAL

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

Paper • 1707.02968 • Published Jul 10, 2017 • 1

Papers - Image - Datasets - JFT-300M

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

Paper • 1707.02968 • Published Jul 10, 2017 • 1

Papers - Image - InceptionResNet-v2

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

Paper • 1707.02968 • Published Jul 10, 2017 • 1

Papers - Image - Datasets - ImageNet

All you need is a good init

Paper • 1511.06422 • Published Nov 19, 2015 • 1
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models

Paper • 2404.14507 • Published Apr 22 • 21
Efficient Transformer Encoders for Mask2Former-style models

Paper • 2404.15244 • Published Apr 23 • 1
Deep Residual Learning for Image Recognition

Paper • 1512.03385 • Published Dec 10, 2015 • 5

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