论文/代码速递2022.10.17！

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：SCAM! Transferring humans between images with Semantic Cross Attention Modulation

主页：https://imagine.enpc.fr/~dufourn/publications/scam.html

代码：https://github.com/nicolas-dufour/SCAM

论文：https://arxiv.org/pdf/2210.04883v1.pdf

最近的大量工作以语义条件下的图像生成为目标。大多数这类方法只关注较窄的姿势转移任务，而忽略了更具挑战性的对象转移任务，即不仅转移姿势，还转移外观和背景。在这项工作中，我们引入了SCAM（Semantic Cross Attention Modulation，语义交叉注意调制），这是一个系统，它对图像的每个语义区域（包括前景和背景）中丰富多样的信息进行编码，从而实现了以细节为重点的精确生成。这是由Semantic Attention Transformer Encoder实现的，该编码器为每个语义区域提取多个潜在向量，以及通过使用语义交叉注意调制来利用这些潜在向量的相应生成器。它仅使用重建设置进行训练，而受试者在测试时进行转移。我们的分析表明，我们提出的架构在编码每个语义区域的外观多样性方面是成功的。iDesigner和CelebAMask HD数据集上的大量实验表明，SCAM优于SEAN和SPADE；此外，它还开创了学科转移的新境界。

最新论文整理

ECCV2022

Updated on : 17 Oct 2022

total number : 4

Intel Labs at Ego4D Challenge 2022: A Better Baseline for Audio-Visual Diarization

• 论文/Paper: http://arxiv.org/pdf/2210.07764
• 代码/Code: None

The Surprisingly Straightforward Scene Text Removal Method With Gated Attention and Region of Interest Generation: A Comprehensive Prominent Model Analysis

• 论文/Paper: http://arxiv.org/pdf/2210.07489
• 代码/Code: https://github.com/naver/garnet

Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction

• 论文/Paper: http://arxiv.org/pdf/2210.07424
• 代码/Code: None

Task Grouping for Multilingual Text Recognition

• 论文/Paper: http://arxiv.org/pdf/2210.07423
• 代码/Code: None

CVPR2022

NeurIPS

Updated on : 17 Oct 2022

total number : 13

Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks

• 论文/Paper: http://arxiv.org/pdf/2210.08001
• 代码/Code: None

AVLEN: Audio-Visual-Language Embodied Navigation in 3D Environments

• 论文/Paper: http://arxiv.org/pdf/2210.07940
• 代码/Code: None

MOVE: Unsupervised Movable Object Segmentation and Detection

• 论文/Paper: http://arxiv.org/pdf/2210.07920
• 代码/Code: None

One Model to Edit Them All: Free-Form Text-Driven Image Manipulation with Semantic Modulations

• 论文/Paper: http://arxiv.org/pdf/2210.07883
• 代码/Code: page:https://github.com/KumapowerLIU/FFCLIP.

Model-Based Imitation Learning for Urban Driving

• 论文/Paper: http://arxiv.org/pdf/2210.07729
• 代码/Code: https://github.com/wayveai/mile.

Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking?

• 论文/Paper: http://arxiv.org/pdf/2210.07681
• 代码/Code: https://github.com/dendorferpatrick/QuoVadis.

DART: Articulated Hand Model with Diverse Accessories and Rich Textures

• 论文/Paper: http://arxiv.org/pdf/2210.07650
• 代码/Code: None

Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization

• 论文/Paper: http://arxiv.org/pdf/2210.07571
• 代码/Code: None

TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers

• 论文/Paper: http://arxiv.org/pdf/2210.07562
• 代码/Code: https://github.com/mlvlab/tokenmixup

Weakly-Supervised Multi-Granularity Map Learning for Vision-and-Language Navigation

• 论文/Paper: http://arxiv.org/pdf/2210.07506
• 代码/Code: https://github.com/peihaochen/ws-mgmap

Learning Active Camera for Multi-Object Navigation

• 论文/Paper: http://arxiv.org/pdf/2210.07505
• 代码/Code: None

Evaluating Out-of-Distribution Performance on Document Image Classifiers

• 论文/Paper: http://arxiv.org/pdf/2210.07448
• 代码/Code: None

A Consistent and Differentiable Lp Canonical Calibration Error Estimator

• 论文/Paper: http://arxiv.org/pdf/2210.07810
• 代码/Code: https://github.com/tpopordanoska/ece-kde