Papers with Code 아카이브
2D Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 27
- 평가표
- 0
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/xinghaochen/slab
공식 코드https://github.com/xingmingyu123456/knowledgeswapping
공식 코드https://github.com/xingy038/conrf
공식 코드ConRF: Zero-shot Stylization of 3D Scenes with Conditioned Radiation Fields
https://github.com/xingyi-li/icontrol3d
공식 코드iControl3D: An Interactive System for Controllable 3D Scene Generation
https://github.com/xingyizhou/CenterNet
공식 코드https://github.com/xingyizhou/CenterNet2
공식 코드https://github.com/xingyizhou/CenterTrack
공식 코드https://github.com/xingyizhou/ExtremeNet
공식 코드Bottom-up Object Detection by Grouping Extreme and Center Points
https://github.com/xingyizhou/UniDet
공식 코드https://github.com/xingyizhou/pose-hg-3d
공식 코드Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach
https://github.com/xingyu-group/3d-density-resampling-sdg
공식 코드Domain Generalization of 3D Object Detection by Density-Resampling
https://github.com/xinliu20/mec
공식 코드https://github.com/xinntao/EDVR
공식 코드EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
https://github.com/xinnuoxu/miranews
공식 코드MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization
https://github.com/xinshuoweng/mono3D_PLiDAR
공식 코드https://github.com/xinw1012/cycle-confusion
공식 코드Robust Object Detection via Instance-Level Temporal Cycle Confusion
https://github.com/xinyadu/harvestingQA
공식 코드Harvesting Paragraph-Level Question-Answer Pairs from Wikipedia
https://github.com/xinyadu/memory_docie
공식 코드Dynamic Global Memory for Document-level Argument Extraction
https://github.com/xinzhuma/3dodi-survey
공식 코드3D Object Detection from Images for Autonomous Driving: A Survey
https://github.com/xinzhuma/monodle
공식 코드Delving into Localization Errors for Monocular 3D Object Detection
https://github.com/xiuqhou/Salience-DETR
공식 코드Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement
https://github.com/xiuqhou/relation-detr
공식 코드Relation DETR: Exploring Explicit Position Relation Prior for Object Detection
https://github.com/xjtlu-cvlab/3drom
공식 코드3D Random Occlusion and Multi-Layer Projection for Deep Multi-Camera Pedestrian Localization
https://github.com/xjtu-cvlab-lowlevel/rnn-mbp
공식 코드Deep Recurrent Neural Network with Multi-scale Bi-directional Propagation for Video Deblurring
https://github.com/xjtu-haolin/point_assisted_sample_selection
공식 코드Leveraging Anchor-based LiDAR 3D Object Detection via Point Assisted Sample Selection
https://github.com/xk-huang/segment-caption-anything
공식 코드https://github.com/xmeng525/NeAT
공식 코드NeAT: Learning Neural Implicit Surfaces with Arbitrary Topologies from Multi-view Images
https://github.com/xmuqimingxia/dota
공식 코드Learning to Detect Objects from Multi-Agent LiDAR Scans without Manual Labels
https://github.com/xmuqimingxia/sp3d
공식 코드SP3D: Boosting Sparsely-Supervised 3D Object Detection via Accurate Cross-Modal Semantic Prompts
https://github.com/xpf/Multi-Level-MMD-Regularization
공식 코드Enhancing Backdoor Attacks with Multi-Level MMD Regularization
https://github.com/xrenaa/Deblur-by-Fitting
공식 코드https://github.com/xrenaa/Retriever
공식 코드Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph
https://github.com/xrli-U/MuSc
공식 코드https://github.com/xsimba123/demos-of-csf-sa
공식 코드Towards Using Clothes Style Transfer for Scenario-aware Person Video Generation
https://github.com/xsqhust/turbulence_removal
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.