Closed paddle-lwfx closed 1 year ago
【队名】:KHB1698
【序号】:8
【论文】:A ConvNet for the 2020s
【状态】:报名
【队名】:hhhAlan
【序号】:3
【论文】:Going deeper with Image Transformers
【状态】:报名
【队名】:冰海
【序号】:47
【论文】:GFP-GAN: Towards Real-World Blind Face Restoration with Generative Facial Prior
【状态】:报名
【队名】:gis322
【序号】:8
【论文】:A ConvNet for the 2020s
【状态】:报名
【队名】:lfy
【序号】:115
【论文】:Deep Session Interest Network for Click-Through Rate Prediction
【状态】:报名
【队名】:ocr工具人
【序号】:57
【论文】:Scene Text Telescope: Text-Focused Scene Image Super-Resolution
【状态】:报名
【队名】:塑造雕像的权利
【序号】:21
【论文】:Instances as Queries
【状态】:报名
【repo链接】:https://github.com/a1056632260/paddle-Instances_as_Queries
【队名】:冲冲冲
【序号】:4
【论文】:CvT: Introducing Convolutions to Vision Transformers
【状态】:报名
【repo链接】:https://github.com/Y1YU/CvT_Paddle
【队名】:gs_syc
【序号】:9
【论文】:Visual Attention Network
【状态】:报名
【队名】:下期见
【序号】:51
【论文】:Real-Time Super-Resolution System of 4K-Video Based on Deep Learning
【状态】:报名
【队名】:三鲜面哈哈
【序号】:20
【论文】:Anchor DETR: Query Design for Transformer-Based Object Detection
【状态】:报名
【队名】:gs_lj
【序号】:120
【论文】:Personalized News Recommendation with Knowledge-aware Interactive Matching
【状态】:报名
【队名】:百度飞桨
【序号】:6
【论文】:Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN
【状态】:报名
【队名】:RangeKing
【序号】:9
【论文】:Visual Attention Network
【状态】:报名
【repo链接】:https://github.com/RangeKing/VAN-Classification-Paddle
【队名】:爬爬爬
【序号】:100
【状态】:报名
【队名】:摸个鱼
【序号】:16
【论文】:How to Trust Unlabeled Data? Instance Credibility Inference for Few-Shot Learning
【状态】:报名
【队名】:开着奔驰种地
【序号】:33
【论文】:Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes
【状态】:报名
【队名】:KHB1698
【序号】:23
【论文】:SimDR: Is 2D Heatmap Even Necessary for Human Pose Estimation?
【状态】:报名
【队名】:咕咕咕咕咕
【序号】:18
【论文】:Trusted Multi-View Classification
【状态】:报名
【repo链接】:https://github.com/18XiWenjuan/TMC
【队名】:hhhAlan
【序号】:8
【论文】:A ConvNet for the 2020s
【状态】:报名
【队名】:cHEn
【序号】:118
【论文】:Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction
【状态】:报名
【repo链接】:https://github.com/chenjiyan2001/PaperReproduction/tree/main/fgcnn
【队名】:高级伴读书童
【序号】:52
【论文】:Progressive Image Deraining Networks: A Better and Simpler Baseline
【状态】:报名
【队名】: 大呀大聪明
【序号】:52
【论文】:Progressive Image Deraining Networks: A Better and Simpler Baseline
【状态】:报名
【队名】:来中路对狙
【序号】:13
【论文】:Multi-Task Learning as Multi-Objective Optimization
【状态】:报名
【repo链接】:https://github.com/keil555/Multi-Task-Learning-Paddle
【队名】:zhhike
【序号】:14
【论文】:Residual Attention: A Simple but Effective Method for Multi-Label Recognition
【状态】:报名
【repo链接】: https://github.com/zh-hike/CSRA_Paddle
【队名】:UnseenMe
【序号】:10
【论文】:Pelee: A Real-Time Object Detection System on Mobile Devices
【状态】:报名
【队名】:UnseenMe
【序号】:82
【论文】:AMC: AutoML for Model Compression and Acceleration on Mobile Devices
【状态】:报名
【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】:报名
【队名】:The Gang
【序号】:83
【论文】:Uniter: Learning universal image-text representations
【状态】:报名
【队名】:复现都队
【序号】:9
【论文】:Visual Attention Network
【状态】:报名
【repo链接】:https://github.com/PWenhan/Visual-Attention-Network
【队名】:半复现半科研队
【序号】:65
【论文】:PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
【状态】:报名
【队名】:半复现半科研队
【序号】:69
【论文】:Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection
【状态】:报名
【队名】:复现升级队
【序号】:13
【论文】:Multi-Task Learning as Multi-Objective Optimization
【状态】:报名
【repo链接】:https://github.com/hello-billy/MTL-as-Multi-Objective-Optimization-on-Paddle
【队名】:gaka2012
【序号】:40
【论文】:Deep Automatic Natural Image Matting
【状态】:报名
【队名】:节奏魔王
【序号】:17
【论文】:All Tokens Matter: Token Labeling for Training Better Vision Transformers
【状态】:报名
【repo链接】:https://github.com/XhqGlorry11/AllTokensMatter_paddle
【队名】:节奏魔王
【序号】:80
【论文】:Token Shift Transformer for Video Classification
【状态】:报名
【repo链接】:https://github.com/XhqGlorry11/TokenShiftTransformer_paddle
【队名】:瓜瓜瓜
【序号】:5
【论文】:HashNet: Deep Learning to Hash by Continuation
【状态】:报名
【repo链接】:https://gitee.com/zugexiaodui/HashNet_PDPD_repro.git
【队名】:拼手速
【序号】:9
【论文】:Visual Attention Network
【状态】:报名
【repo链接】:https://github.com/flytocc/PaddleClas/tree/VAN-Classification
【队名】:角灰大帝
【序号】:18
【论文】:Trusted Multi-View Classification
【状态】:报名
【队名】:超想飞
【序号】:18
【论文】:Trusted Multi-View Classification
【状态】:报名
【队名】:大数表征
【序号】:23
【论文】:SimDR: Is 2D Heatmap Even Necessary for Human Pose Estimation?
【状态】:报名
【队名】:自然选择
【序号】:140
【论文】:A Closer Look at Few-shot Classification
【状态】:报名
【repo链接】:https://github.com/isLinXu/CloserLookFewShot_Paddle
【队名】:自然选择
【序号】:30
【论文】:F2DNet: Fast Focal Detection Network for Pedestrian Detection
【状态】:报名
【队名】:角灰大帝
【序号】:18
【论文】:Trusted Multi-View Classification
【状态】:提交
【队名】:Cavaliers
【序号】:34
【论文】:Polarized Self-Attention: Towards High-quality Pixel-wise Regression
【状态】:报名
【队名】:haha
【序号】:85
【论文】:Emerging Properties in Self-Supervised Vision Transformers
【状态】:报名
【队名】:Team X
【序号】:80
【论文】:Token Shift Transformer for Video Classification
【状态】:报名
【repo链接】:https://github.com/zwtu/TokShift-Transformer-Paddle
【队名】:Cat的第8冠
【序号】:113
【论文】:PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
【状态】:报名
【repo链接】:https://github.com/wleilei/PEGASUS
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
CycleMLP: A MLP-like Architecture for Dense PredictionHashNet: Deep Learning to Hash by ContinuationGreedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNNA ConvNet for the 2020sVisual Attention NetworkPelee: A Real-Time Object Detection System on Mobile DevicesDestruction and Construction Learning for Fine-grained Image RecognitionSee Better Before Looking Closer: Weakly Supervised DataAugmentation Network for Fine-Grained Visual Classification
Multi-Task Learning as Multi-Objective OptimizationResidual Attention: A Simple but Effective Method for Multi-Label Recognition(第五届中国软件开源创新大赛)
How to Trust Unlabeled Data? Instance Credibility Inference for Few-Shot Learning(第五届中国软件开源创新大赛)
All Tokens Matter: Token Labeling for Training Better Vision TransformersTrusted Multi-View Classification目标检测
(第五届中国软件开源创新大赛)
DARDet: A Dense Anchor-free Rotated Object Detector in Aerial Images图像分割
PSANet: Point-wise Spatial Attention Network for Scene ParsingCCNet: Criss-Cross Attention for Semantic SegmentationDeep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road ScenesnnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation(第五届中国软件开源创新大赛)
UNETR: Transformers for 3D Medical Imagemading队(报名&提交)(PaddleSeg)SmirnovKol(报名&提交)(UNETR-Transformers-for-3D-Medical-Image)
图像生成
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks onWeakly-Supervised Classification and Localization of Common Thorax Diseases
GAN Prior Embedded Network for Blind Face Restoration in the WildStyleCLIP: Text-Driven Manipulation of StyleGAN Imageryusing Conditional Continuous Normalizing Flows
Alias-Free Generative Adversarial NetworksProgressive Image Deraining Networks: A Better and Simpler BaselineOCR
RobustScanner: Dynamically Enhancing Positional Clues for Robust Text RecognitionSPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition异常检测
PaDiM: A Patch Distribution Modeling Framework for Anomaly Detection and LocalizationStudent-Teacher Feature Pyramid Matching for Anomaly DetectionTowards Total Recall in Industrial Anomaly DetectionMultiresolution Knowledge Distillation for Anomaly DetectionSemi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation3D
(第五届中国软件开源创新大赛)
Categorical Depth Distribution Network for Monocular 3D Object Detection(第五届中国软件开源创新大赛)
视频方向
Revisiting Skeleton-based Action RecognitionTwo-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action RecognitionEfficientGCN: Constructing Stronger and Faster Baselines for Skeleton-based Action RecognitionYOWO: You only watch once: A unified cnn architecture for real-time spatiotemporal action localizationToken Shift Transformer for Video Classification其他CV方向
84Exploring Simple Siamese Representation Learning☀️☀️STANet for remote sensing image change detection(第五届中国软件开源创新大赛)
SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR ImagesRemote Sensing Image Change Detection with TransformersNeighbor2Neighbor: Self-Supervised Denoising from Single Noisy ImagesBeyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising(第五届中国软件开源创新大赛)
Restormer: Efficient Transformer for High-Resolution Image RestorationExploring Simple Siamese Representation LearningUnsupervised Learning of Visual Features by Contrasting Cluster AssignmentsDense Contrastive Learning for Self-Supervised Visual Pre-TrainingMLDA-Net: Multi-Level Dual Attention-BasedNetwork for Self-Supervised MonocularDepth EstimationFFA-Net: Feature Fusion Attention Network for Single Image DehazingEfficient Low-rank Multimodal Fusion with Modality-Specific FactorsNLP
DeBERTa: Decoding-enhanced BERT with Disentangled AttentionXLM: Cross-lingual Language Model PretrainingCANINE: Pre-training an Efficient Tokenization-Free Encoder for Language RepresentationINFOXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training推荐
Deep Session Interest Network for Click-Through Rate PredictionDetecting Beneficial Feature Interactions for Recommender SystemsFeature Generation by Convolutional Neural Network for Click-Through Rate PredictionLearning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and AdvertisingPersonalized News Recommendation with Knowledge-aware Interactive MatchingPackage Recommendation with Intra- and Inter-Package Attention NetworksModeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising科学计算方向
Lettuce: PyTorch-based Lattice Boltzmann FrameworkTorchMD: A deep learning framework for molecular simulations(第五届中国软件开源创新大赛)
(第五届中国软件开源创新大赛)
PHYSICS-INFORMED NEURAL NETWORKS WITH HARD CONSTRAINTS FOR INVERSE DESIGN∗Systems Biology: Identifiability analysis and parameter identification via systems-biology informed neural networks小样本学习
A Closer Look at Few-shot ClassificationMatching Networks for One Shot LearningFew-Shot Learning with Graph Neural Networks飞桨特色模型挑战赛
How to Trust Unlabeled Data? Instance Credibility Inference for Few-Shot LearningSTANet for remote sensing image change detectionLearning Enriched Features for Real Image Restoration and EnhancementReal-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data