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：
ECCV2022 | XMem: 高质量长期视频分割！
效果超群！
标题：XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
论文：https://arxiv.org/pdf/2207.07115.pdf
代码：https://github.com/hkchengrex/XMem
摘要：
我们提出了 XMem，这是一种用于长视频的视频对象分割架构，具有统一的特征内存存储，受 Atkinson-Shiffrin 内存模型的启发。先前关于视频对象分割的工作通常只使用一种类型的特征记忆。对于超过一分钟的视频，单个特征内存模型将内存消耗和准确性紧密联系在一起。相比之下，遵循 Atkinson-Shiffrin 模型，我们开发了一种架构，该架构包含多个独立但深度连接的特征记忆存储：快速更新的感觉记忆、高分辨率工作记忆和紧凑的持续长期记忆。至关重要的是，我们开发了一种记忆增强算法，该算法通常将积极使用的工作记忆元素整合到长期记忆中，从而避免记忆爆炸并最大限度地减少长期预测的性能衰减。结合新的内存读取机制，XMem 在长视频数据集上的性能大大超过了最先进的性能，同时在短视频上与最先进的方法（不适用于长视频）相当数据集。
最新论文整理
ECCV2022
Updated on : 20 Jul 2022
total number : 26
PoserNet: Refining Relative Camera Poses Exploiting Object Detections
- 论文/Paper: http://arxiv.org/pdf/2207.09445
- 代码/Code: https://github.com/IIT-PAVIS/PoserNet.
Geometric Features Informed Multi-person Human-object Interaction Recognition in Videos
- 论文/Paper: http://arxiv.org/pdf/2207.09425
- 代码/Code: None
RCLane: Relay Chain Prediction for Lane Detection
- 论文/Paper: http://arxiv.org/pdf/2207.09399
- 代码/Code: None
Rethinking IoU-based Optimization for Single-stage 3D Object Detection
- 论文/Paper: http://arxiv.org/pdf/2207.09332
- 代码/Code: https://github.com/hlsheng1/RDIoU
Deep Semantic Statistics Matching (D2SM) Denoising Network
- 论文/Paper: http://arxiv.org/pdf/2207.09302
- 代码/Code: None
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting
- 论文/Paper: http://arxiv.org/pdf/2207.09295
- 代码/Code: None
3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform
- 论文/Paper: http://arxiv.org/pdf/2207.09291
- 代码/Code: https://github.com/Starrah/DMH-Net.
Action Quality Assessment with Temporal Parsing Transformer
- 论文/Paper: http://arxiv.org/pdf/2207.09270
- 代码/Code: None
Image Super-Resolution with Deep Dictionary
- 论文/Paper: http://arxiv.org/pdf/2207.09228
- 代码/Code: None
NDF: Neural Deformable Fields for Dynamic Human Modelling
- 论文/Paper: http://arxiv.org/pdf/2207.09193
- 代码/Code: None
Self-Supervision Can Be a Good Few-Shot Learner
- 论文/Paper: http://arxiv.org/pdf/2207.09176
- 代码/Code: https://github.com/bbbdylan/unisiam
Single Stage Virtual Try-on via Deformable Attention Flows
- 论文/Paper: http://arxiv.org/pdf/2207.09161
- 代码/Code: None
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation
- 论文/Paper: http://arxiv.org/pdf/2207.09158
- 代码/Code: None
Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution
- 论文/Paper: http://arxiv.org/pdf/2207.09156
- 代码/Code: None
What Matters for 3D Scene Flow Network
- 论文/Paper: http://arxiv.org/pdf/2207.09143
- 代码/Code: https://github.com/IRMVLab/3DFlow.
ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild
- 论文/Paper: http://arxiv.org/pdf/2207.09137
- 代码/Code: https://github.com/bytedance/particle-sfm.
MHR-Net: Multiple-Hypothesis Reconstruction of Non-Rigid Shapes from 2D Views
- 论文/Paper: http://arxiv.org/pdf/2207.09086
- 代码/Code: None
Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation
- 论文/Paper: http://arxiv.org/pdf/2207.09084
- 代码/Code: None
Box-supervised Instance Segmentation with Level Set Evolution
- 论文/Paper: http://arxiv.org/pdf/2207.09055
- 代码/Code: https://github.com/LiWentomng/boxlevelset.
ML-BPM: Multi-teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation
- 论文/Paper: http://arxiv.org/pdf/2207.09045
- 代码/Code: None
Structure-aware Editable Morphable Model for 3D Facial Detail Animation and Manipulation
- 论文/Paper: http://arxiv.org/pdf/2207.09019
- 代码/Code: https://github.com/gerwang/facial-detail-manipulation.
SelectionConv: Convolutional Neural Networks for Non-rectilinear Image Data
- 论文/Paper: http://arxiv.org/pdf/2207.08979
- 代码/Code: None
Exploiting Unlabeled Data with Vision and Language Models for Object Detection
- 论文/Paper: http://arxiv.org/pdf/2207.08954
- 代码/Code: https://github.com/xiaofeng94/VL-PLM.
Prior-Guided Adversarial Initialization for Fast Adversarial Training
- 论文/Paper: http://arxiv.org/pdf/2207.08859
- 代码/Code: https://github.com/jiaxiaojunQAQ/FGSM-PGI.
Self-Supervised Interactive Object Segmentation Through a Singulation-and-Grasping Approach
- 论文/Paper: http://arxiv.org/pdf/2207.09314
- 代码/Code: None
Prior Knowledge Guided Unsupervised Domain Adaptation
- 论文/Paper: http://arxiv.org/pdf/2207.08877
- 代码/Code: https://github.com/tsun/KUDA.
CVPR2022
Updated on : 20 Jul 2022
total number : 2
Visual Representation Learning with Transformer: A Sequence-to-Sequence Perspective
- 论文/Paper: http://arxiv.org/pdf/2207.09339
- 代码/Code: None
Balanced Contrastive Learning for Long-Tailed Visual Recognition
- 论文/Paper: http://arxiv.org/pdf/2207.09052
- 代码/Code: href{https://github.com/FlamieZhu/BCL}{this
