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CVPR 2021 结果出炉!最新 64 篇 CVPR'21 论文汇总(更新中)精选
论文速递

最新更新:CVPR2021论文分类汇总:CVPR2021 最全整理:论文汇总 / 代码 / 项目 / 论文解读(更新中)【计算机视觉】

极市一直非常关注CVPR,在每年都会进行CVPR相关的论文资源整理,包括论文解读、代码、技术直播、分方向盘点、最佳论文汇总等,也得到了许多开发者的支持。在Github上,极市的CVPR盘点已经收获了5.7K star。在今年,我们也会对CVPR2021进行实时跟进。

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Github项目地址:
https://github.com/extreme-assistant/CVPR2021-Paper-Code-Interpretation

以下是我们对本次CVPR2021最新论文的整理:

CVPR2021最新信息及论文下载贴(Papers/Codes/Project/PaperReading/Demos/直播分享/论文分享会等)

官网链接:http://cvpr2021.thecvf.com

时间:2021年6月19日-6月25日

论文接收公布时间:2021年2月28日

相关问题:



目录

1. CVPR2021接受论文/代码(持续更新)

2. To do list


1.CVPR2021接受论文/代码(持续更新)

61.Coarse-Fine Networks for Temporal Activity Detection in Videos(用于视频中的时间活动检测的粗细网络)

60.Instance Localization for Self-supervised Detection Pretraining(自监督检测预训练的实例定位)

paper|code

59.Weakly-supervised Grounded Visual Question Answering using Capsules(使用胶囊进行弱监督的地面视觉问答)

58.FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation(FLAVR:用于快速帧插值的与流无关的视频表示)

paper|code|project

57.4D Panoptic LiDAR Segmentation(4D全景LiDAR分割)

paper

56.Dogfight: Detecting Drones from Drone Videos(从无人机视频中检测无人机)

55.Multiple Instance Active Learning for Object Detection(用于对象检测的多实例主动学习)

paper|code

54.Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels(重新标记ImageNet:从单标签到多标签,从全局标签到本地标签)

paper|code

53.Probabilistic Embeddings for Cross-Modal Retrieval(跨模态检索的概率嵌入)

paper

52.PLOP: Learning without Forgetting for Continual Semantic Segmentation(PLOP:学习而不会忘记连续的语义分割)

paper

51.Rainbow Memory: Continual Learning with a Memory of Diverse Samples(不断学习与多样本的记忆)

50.Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing(利用GAN中潜在的空间维度进行实时图像编辑)

48.Rethinking Channel Dimensions for Efficient Model Design(重新考虑通道尺寸以进行有效的模型设计)

paper|code

46.Reconsidering Representation Alignment for Multi-view Clustering(重新考虑多视图聚类的表示对齐方式)

45.Self-supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost Map(道路动力学和成本图的自监督式多步同时预测)

44.IIRC: Incremental Implicitly-Refined Classification(增量式隐式定义的分类)

paper|project

43.Fair Attribute Classification through Latent Space De-biasing(通过潜在空间去偏的公平属性分类)

paper|code|project

42.Information-Theoretic Segmentation by Inpainting Error Maximization(修复误差最大化的信息理论分割)

paper

41.Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking(多目标跟踪的概率小波计分和修复)

paper

40.Few-shot Open-set Recognition by Transformation Consistency(转换一致性很少的开放集识别)

39.Meta Batch-Instance Normalization for Generalizable Person Re-Identification(通用批处理人员重新标识的元批实例规范化)

paper

37.UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pretraining(UC2:通用跨语言跨模态视觉和语言预培训)

36.Less is More: CLIPBERT for Video-and-Language Learning via Sparse Sampling(T通过稀疏采样进行视频和语言学习)

paper|code

35.3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management(用于胰腺肿块分割,诊断和定量患者管理的3D图形解剖学几何集成网络)

34.Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies(深部病变追踪器:在4D纵向成像研究中监控病变)

paper

33.Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-constrained Optimization(通过脊柱矫正和解剖学约束优化在CT中自动进行椎骨定位和识别)

paper

31.3D CNNs with Adaptive Temporal Feature Resolutions(具有自适应时间特征分辨率的3D CNN)

paper

30.KeepAugment: A Simple Information-Preserving Data Augmentation(一种简单的保存信息的数据扩充)

paper

29.AttentiveNAS: Improving Neural Architecture Search via Attentive(通过注意力改善神经架构搜索)

paper

28.Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs(Hijack-GAN:意外使用经过预训练的黑匣子GAN)

paper

27.D-NeRF: Neural Radiance Fields for Dynamic Scenes(D-NeRF:动态场景的神经辐射场)

project

26.Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation(样式编码:用于图像到图像翻译的StyleGAN编码器)

project

25.A 3D GAN for Improved Large-pose Facial Recognition(用于改善大姿势面部识别的3D GAN)

paper

24.Rotation Equivariant Siamese Networks for Tracking(旋转等距连体网络进行跟踪)

paper

23.Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning(探索少量学习的不变表示形式和等变表示形式的互补强度)

22.Open-world object detection(开放世界中的目标检测)

code

21.Multi-Stage Progressive Image Restoration(多阶段渐进式图像复原)

paper|code

20.Weakly Supervised Learning of Rigid 3D Scene Flow(刚性3D场景流的弱监督学习)

paper|code|project

19.PREDATOR: Registration of 3D Point Clouds with Low Overlap(预测器:低重叠的3D点云的注册)

paper|code|project

18.Sequential Graph Convolutional Network for Active Learning(主动学习的顺序图卷积网络)

paper

17.Multiresolution Knowledge Distillation for Anomaly Detection(用于异常检测的多分辨率知识蒸馏)

paper

16.Positive-Unlabeled Data Purification in the Wild for Object Detection(野外检测对象的阳性无标签数据提纯)

15.Data-Free Knowledge Distillation For Image Super-Resolution(DAFL算法的SR版本)

14.Manifold Regularized Dynamic Network Pruning(动态剪枝的过程中考虑样本复杂度与网络复杂度的约束)

13.Distilling Object Detectors via Decoupled Features(前景背景分离的蒸馏技术)

12.Inverting the Inherence of Convolution for Visual Recognition(颠倒卷积的固有性以进行视觉识别)

11.Representative Batch Normalization with Feature Calibration(具有特征校准功能的代表性批量归一化)

10.PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation(语义流经点以进行航空图像分割)

9.Learning the Superpixel in a Non-iterative and Lifelong Manner(以非迭代和终身的方式学习超像素)

8.RepVGG: Making VGG-style ConvNets Great Again

paper|code

解读:RepVGG:极简架构,SOTA性能,让VGG式模型再次伟大

7.Transformer Interpretability Beyond Attention Visualization(注意力可视化之外的Transformer可解释性)

paper|code

6.UP-DETR: Unsupervised Pre-training for Object Detection with Transformers

paper

解读:无监督预训练检测器

5.Pre-Trained Image Processing Transformer(底层视觉预训练模型)

paper

4.ReNAS: Relativistic Evaluation of Neural Architecture Search(NAS predictor当中ranking loss的重要性)

paper

3.AdderSR: Towards Energy Efficient Image Super-Resolution(将加法网路应用到图像超分辨率中)

paper|code

解读:华为开源加法神经网络

2.Learning Student Networks in the Wild(一种不需要原始训练数据的模型压缩和加速技术)

paper|code

解读:华为诺亚方舟实验室提出无需数据网络压缩技术

1.HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens(降低NAS的成本)

paper


2.To do list

  • CVPR2021论文解读
  • CVPR2021 Oral
  • CVPR2021论文分享
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