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Collections including paper arxiv:1512.03385

computer vision papers 👓

Rich feature hierarchies for accurate object detection and semantic segmentation

Paper • 1311.2524 • Published Nov 11, 2013 • 1
DeepPose: Human Pose Estimation via Deep Neural Networks

Paper • 1312.4659 • Published Dec 17, 2013 • 1
Generative Adversarial Networks

Paper • 1406.2661 • Published Jun 10, 2014 • 2
scikit-image: Image processing in Python

Paper • 1407.6245 • Published Jul 23, 2014 • 1

Ilya's papers for Carmack

Ilya Sutskever: "If you really learn all of these, you’ll know 90% of what matters today." Full list: https://punkx.org/jackdoe/30.html

Recurrent Neural Network Regularization

Paper • 1409.2329 • Published Sep 8, 2014
Pointer Networks

Paper • 1506.03134 • Published Jun 9, 2015
Order Matters: Sequence to sequence for sets

Paper • 1511.06391 • Published Nov 19, 2015
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism

Paper • 1811.06965 • Published Nov 16, 2018

Papers - Image - Training - Per-class Regressor (PCR)

Deep Residual Learning for Image Recognition

Paper • 1512.03385 • Published Dec 10, 2015 • 5

Papers - Custom Layers - No Dropout - Batch Normalization

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Paper • 1502.03167 • Published Feb 11, 2015 • 1
Deep Residual Learning for Image Recognition

Paper • 1512.03385 • Published Dec 10, 2015 • 5

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

Papers - Image - Datasets - CIFAR

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
Deep Residual Learning for Image Recognition

Paper • 1512.03385 • Published Dec 10, 2015 • 5
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24 • 11

Papers - Image - Coco Testing

Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion

Paper • 2310.03502 • Published Oct 5, 2023 • 75
Transferable and Principled Efficiency for Open-Vocabulary Segmentation

Paper • 2404.07448 • Published Apr 11 • 10
Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models

Paper • 2404.07973 • Published Apr 11 • 29
COCONut: Modernizing COCO Segmentation

Paper • 2404.08639 • Published Apr 12 • 26

Papers - Microsoft

Can large language models explore in-context?

Paper • 2403.15371 • Published Mar 22 • 30
GaussianCube: Structuring Gaussian Splatting using Optimal Transport for 3D Generative Modeling

Paper • 2403.19655 • Published Mar 28 • 15
WavLLM: Towards Robust and Adaptive Speech Large Language Model

Paper • 2404.00656 • Published Mar 31 • 8
Enabling Memory Safety of C Programs using LLMs

Paper • 2404.01096 • Published Apr 1 • 1

Papers - Image - Segmentation

Image Segmentation using U-Net Architecture for Powder X-ray Diffraction Images

Paper • 2310.16186 • Published Oct 24, 2023 • 2
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

Paper • 1709.07330 • Published Sep 21, 2017 • 2
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans

Paper • 1801.08599 • Published Jan 25, 2018 • 2
RTSeg: Real-time Semantic Segmentation Comparative Study

Paper • 1803.02758 • Published Mar 7, 2018 • 2

Papers - ResNet

Wide Residual Networks

Paper • 1605.07146 • Published May 23, 2016 • 2
Characterizing signal propagation to close the performance gap in unnormalized ResNets

Paper • 2101.08692 • Published Jan 21, 2021 • 2
Pareto-Optimal Quantized ResNet Is Mostly 4-bit

Paper • 2105.03536 • Published May 7, 2021 • 2
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations

Paper • 2106.01548 • Published Jun 3, 2021 • 2

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