ICCV 2021 结果出炉！最全论文下载及分类汇总（更新中）

在本文中，我们对ICCV2021的最新论文进行了分类汇总，按研究方向整理。包含目标检测、图像分割、目标跟踪、医学影像、3D、模型压缩、图像处理、姿态估计、文本检测等多个方向，同时，我们将对优秀论文解读报道和技术直播，欢迎大家关注~

由于编辑器的限制，最新版本的论文汇总请大家前往我们的Github：#ICCV2021/ICCV2019/ICCV2017(Paper/Code/Project/Paper reading

检测

图像目标检测(2D Object Detection)

[5] Active Learning for Deep Object Detection via Probabilistic Modeling

paper:https://arxiv.org/abs/2103.16130

[4] Detecting Invisible People

paper:https://arxiv.org/abs/2012.08419
project:https://www.cs.cmu.edu/~tkhurana/invisible.htm
video:https://youtu.be/StEfnshXrCE

[3] Conditional Variational Capsule Network for Open Set Recognition

paper:https://arxiv.org/abs/2104.09159
code:https://github.com/guglielmocamporese/cvaecaposr

[2] MDETR : Modulated Detection for End-to-End Multi-Modal Understanding(Oral)

paper:https://arxiv.org/pdf/2104.12763
code:https://github.com/ashkamath/mdetr
project:https://ashkamath.github.io/mdetr_page/
colab:https://colab.research.google.com/github/ashkamath/mdetr/blob/colab/notebooks/MDETR_demo.ipynb

[1] DetCo: Unsupervised Contrastive Learning for Object Detection

paper:https://arxiv.org/abs/2102.04803
code:https://github.com/xieenze/DetCo

分割(Segmentation)

图像分割(Image Segmentation)

[2] Labels4Free: Unsupervised Segmentation using StyleGAN

paper:https://arxiv.org/abs/2103.14968
code:https://rameenabdal.github.io/Labels4Free
project:https://rameenabdal.github.io/Labels4Free/

[1] Mining Latent Classes for Few-shot Segmentation(Oral)

paper:https://arxiv.org/abs/2103.15402
code:https://github.com/LiheYoung/MiningFSS

实例分割(Instance Segmentatio