低分辨率人脸识别!注意力相似性知识提取方法!论文/代码速递2022.10.25!

2022-12-11 13:01:23 浏览数 (1)

整理:AI算法与图像处理

CVPR2022论文和代码整理:https://github.com/DWCTOD/CVPR2022-Papers-with-Code-Demo

ECCV2022论文和代码整理:https://github.com/DWCTOD/ECCV2022-Papers-with-Code-Demo

最新成果demo展示:

标题:Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition

论文:https://arxiv.org/abs/2209.14498

代码:https://github.com/gist-ailab/teaching-where-to-look

深度学习在人脸识别基准测试中取得了优异的性能,但在低分辨率(LR)图像中性能显著下降。我们提出了一种注意力相似性知识提取方法,该方法将作为教师从高分辨率(HR)网络获得的注意力图转换为作为学生的LR网络,以提高LR识别性能。受人类能够基于HR图像中获得的先验知识从LR图像中近似物体区域的启发,我们利用余弦相似性设计了知识提取损失,使学生网络的注意力与教师网络的注意力相似。在各种LR人脸相关基准上的实验证实,所提出的方法总体上改善了LR设置下的识别性能,通过简单地传输构造良好的注意力图,优于最新的结果

最新论文整理

ECCV2022

Updated on : 25 Oct 2022
total number : 5

Learning Neural Radiance Fields from Multi-View Geometry

  • 论文/Paper: http://arxiv.org/pdf/2210.13041
  • 代码/Code: None

UIA-ViT: Unsupervised Inconsistency-Aware Method based on Vision Transformer for Face Forgery Detection

  • 论文/Paper: http://arxiv.org/pdf/2210.12752
  • 代码/Code: None

SC-wLS: Towards Interpretable Feed-forward Camera Re-localization

  • 论文/Paper: http://arxiv.org/pdf/2210.12748
  • 代码/Code: https://github.com/xinwu98/sc-wls

Photo-realistic Neural Domain Randomization

  • 论文/Paper: http://arxiv.org/pdf/2210.12682
  • 代码/Code: None

HAM: Hierarchical Attention Model with High Performance for 3D Visual Grounding

  • 论文/Paper: http://arxiv.org/pdf/2210.12513
  • 代码/Code: None

CVPR2022

NeurIPS

Updated on : 25 Oct 2022
total number : 16

Monocular Dynamic View Synthesis: A Reality Check

  • 论文/Paper: http://arxiv.org/pdf/2210.13445
  • 代码/Code: https://github.com/kair-bair/dycheck

Contrastive Representation Learning for Gaze Estimation

  • 论文/Paper: http://arxiv.org/pdf/2210.13404
  • 代码/Code: https://github.com/jswati31/gazeclr

High-Resolution Image Editing via Multi-Stage Blended Diffusion

  • 论文/Paper: http://arxiv.org/pdf/2210.12965
  • 代码/Code: None

Revisiting Sparse Convolutional Model for Visual Recognition

  • 论文/Paper: http://arxiv.org/pdf/2210.12945
  • 代码/Code: https://github.com/Delay-Xili/SDNet.

360-MLC: Multi-view Layout Consistency for Self-training and Hyper-parameter Tuning

  • 论文/Paper: http://arxiv.org/pdf/2210.12935
  • 代码/Code: None

Respecting Transfer Gap in Knowledge Distillation

  • 论文/Paper: http://arxiv.org/pdf/2210.12787
  • 代码/Code: None

Beta R-CNN: Looking into Pedestrian Detection from Another Perspective

  • 论文/Paper: http://arxiv.org/pdf/2210.12758
  • 代码/Code: None

Cut-and-Approximate: 3D Shape Reconstruction from Planar Cross-sections with Deep Reinforcement Learning

  • 论文/Paper: http://arxiv.org/pdf/2210.12509
  • 代码/Code: None

NeuPhysics: Editable Neural Geometry and Physics from Monocular Videos

  • 论文/Paper: http://arxiv.org/pdf/2210.12352
  • 代码/Code: None

Attention-Based Scattering Network for Satellite Imagery

  • 论文/Paper: http://arxiv.org/pdf/2210.12185
  • 代码/Code: None

NVIDIA FLARE: Federated Learning from Simulation to Real-World

  • 论文/Paper: http://arxiv.org/pdf/2210.13291
  • 代码/Code: https://github.com/nvidia/nvflare

Deep Equilibrium Approaches to Diffusion Models

  • 论文/Paper: http://arxiv.org/pdf/2210.12867
  • 代码/Code: https://github.com/locuslab/deq-ddim

Functional Indirection Neural Estimator for Better Out-of-distribution Generalization

  • 论文/Paper: http://arxiv.org/pdf/2210.12739
  • 代码/Code: None

Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling

  • 论文/Paper: http://arxiv.org/pdf/2210.12575
  • 代码/Code: None

Generative Modeling of High-resolution Global Precipitation Forecasts

  • 论文/Paper: http://arxiv.org/pdf/2210.12504
  • 代码/Code: None

Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models

  • 论文/Paper: http://arxiv.org/pdf/2210.12254
  • 代码/Code: None

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