hi,大家好,非常高兴的告诉大家,百度飞桨论文复现赛第六期已经开始了,本次论文复现赛共将有100+篇的经典&前沿论文供大家复现,以及新增了飞桨特色模型挑战赛,详细信息可以参考AI Studio,大家是否已经迫不及待了呢~
为了帮助大家更好的了解每篇论文的复现进度,本次复现赛将在本帖中汇总信息。如果你报名/提交结果,需要按格式在进行回复,我们每天会汇总所有的信息,并更新在下表中,你可以通过下面的表格中,了解到每一篇论文的相关信息。
回复的格式为:
【队名】:你队伍的名称
【序号】:你队伍想要复现的论文序号
【论文】:你队伍想要复现的论文名称
【状态】:报名/提交
【repo链接】:repo的链接
如:
【队名】:百度飞桨
【序号】:100
【论文】:Paper 1
【状态】:提交
【repo链接】:https://github.com/PaddlePaddle/Paddle
论文复现赛
图像分类
目标检测
图像分割
图像生成
OCR
异常检测
序号 | 论文 | 复现等级 | 报名队伍 | 完成队伍 |
---|---|---|---|---|
60 | PaDiM: A Patch Distribution Modeling Framework for Anomaly Detection and Localization | ☀️☀️ | ultranity(报名&提交)(Anomaly.Paddle)波波啥也不会(报名&提交3)(PaDiM-Paddle) | |
61 | Student-Teacher Feature Pyramid Matching for Anomaly Detection | ☀️☀️ | 波波啥也不会(报名&提交)(STFPM-Paddle)AIRS_AD(报名)(Paddle_STPM)波波啥也不会(报名&提交2)(STFPM-Paddle) | 波波啥也不会 |
62 | Towards Total Recall in Industrial Anomaly Detection | ☀️☀️ | ||
63 | Multiresolution Knowledge Distillation for Anomaly Detection | ☀️☀️ | txyugood(报名/提交3)(Knowledge_Distillation_AD_Paddle) | txyugood |
64 | Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation | ☀️☀️ | ultranity(报名&提交)(Anomaly.Paddle)高级伴读书童(报名&提交)(orthoad_paddle) |
3D
序号 | 论文 | 复现等级 | 报名队伍 | 完成队伍 |
---|---|---|---|---|
65 | PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud(第五届中国软件开源创新大赛) | ☀️☀️☀️☀️ | 半复现半科研队(报名)(paddle_pointrcnn.git) | |
66 | Categorical Depth Distribution Network for Monocular 3D Object Detection | ☀️☀️ | ||
67 | Is Pseudo-Lidar needed for Monocular 3D Object detection?(第五届中国软件开源创新大赛) | ☀️☀️ | Kaggle100金牌(报名)(DD3D_Paddle) | |
68 | PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds | ☀️☀️ | ABCD(报名)(Paddle-DGCNN) | |
69 | Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection | ☀️☀️ | 半复现半科研队(报名)(paddle_voxelrcnn.git)Kaggle100金牌(报名)(Voxel-R-CNN_Paddle)对对对对对对(报名)(paddleGame_VoxelRCNN.git) | |
70 | FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection | ☀️☀️ | ||
71 | VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation | ☀️☀️☀️☀️ | ||
72 | TNT: Target-driveN Trajectory Prediction | ☀️☀️☀️☀️ |
视频方向
其他CV方向
NLP
序号 | 论文 | 复现等级 | 报名队伍 | 完成队伍 |
---|---|---|---|---|
107 | DeBERTa: Decoding-enhanced BERT with Disentangled Attention | ☀️☀️☀️☀️☀️☀️ | wa007(报名)(DeBERTa-with-Paddle)异常数据(报名)(DeBERTa) | |
108 | Longformer: The Long-Document Transformer | ☀️☀️☀️☀️☀️☀️ | 道不远人55(报名)(The-Long-Document-Transformer)DataArk(报名)(longformer_paddle)小猫(报名)(paddle-models-longformer)信息楼404(报名)(Longformer_paddle) | |
109 | TaPas: Weakly Supervised Table Parsing via Pre-training | ☀️☀️☀️☀️ | 不卷的打工人(报名)(paper_papas)神奇的小渣(报名)(paper_nlp)啾啾复啾啾(报名)(tapas) | |
110 | XLM: Cross-lingual Language Model Pretraining | ☀️☀️☀️☀️ | NLP题变难了(报名&提交)(xlm_paddle) | |
111 | CANINE: Pre-training an Efficient Tokenization-Free Encoder for Language Representation | ☀️☀️☀️☀️ | BCMWhales(报名)(CANINE) | |
112 | INFOXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training | ☀️☀️☀️☀️ | ||
113 | PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization | ☀️☀️☀️☀️ | Cat的第8冠(报名)(PEGASUS)kw-executed(报名)(PEGASUS) |
推荐
科学计算方向
小样本学习
序号 | 论文 | 复现等级 | 报名队伍 | 完成队伍 |
---|---|---|---|---|
140 | A Closer Look at Few-shot Classification | ☀️☀️ | 自然选择(报名)(CloserLookFewShot_Paddle)这里是队名(报名)(Few-shotClassification_Paddle)老和尚(报名)(README.md)超级码立(报名&提交)(Paddle-FSL-Baseline) | |
141 | Matching Networks for One Shot Learning | ☀️☀️ | 摸个鱼(报名)(matchingNet-paddle)小猫(报名)(paddle-models-matching-network)我的小鱼干呢(报名)(matching-networks-paddle)超级码立(报名&提交)(Paddle-MatchingNet) | |
142 | Few-Shot Learning with Graph Neural Networks | ☀️☀️☀️☀️ |
50条答案
按热度按时间lyr7nygr46#
【队名】:omowzz
【序号】:32
【论文】:CCNet: Criss-Cross Attention for Semantic Segmentation
【状态】:报名
【repo链接】:https://github.com/omowzz/sturdy-umbrella
hmtdttj447#
【队名】:超级码立
【序号】:141
【论文】:Matching Networks for One Shot Learning
【状态】:报名&&提交
【repo链接】:https://github.com/Lieberk/Paddle-MatchingNet
5cg8jx4n48#
【队名】:ultranity
【序号】:60
【论文】:PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization
【状态】:提交
【repo 链接】:https://github.com/ultranity/Anomaly.Paddle
xyhw6mcr49#
【队名】:Victory8858
【序号】:12
【论文】:See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification
【状态】:提交
【repo 链接】:https://github.com/Victory8858/WS-DAN-Paddle
8aqjt8rx50#
【队名】:波波啥也不会
【序号】:60
【论文】:PaDiM: A Patch Distribution Modeling Framework for Anomaly Detection and Localization
【状态】:报名&&提交3
【repo链接】:https://github.com/CuberrChen/PaDiM-Paddle