Papers with Code 아카이브
16k
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 6
- 평가표
- 1
- 보존된 평가 기록
- 1
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Megvii-BaseDetection/DeFCN
공식 코드End-to-End Object Detection with Fully Convolutional Network
https://github.com/Megvii-BaseDetection/DisAlign
공식 코드Distribution Alignment: A Unified Framework for Long-tail Visual Recognition
https://github.com/Megvii-BaseDetection/GFSD
공식 코드https://github.com/Megvii-BaseDetection/LLA
공식 코드LLA: Loss-aware Label Assignment for Dense Pedestrian Detection
https://github.com/Megvii-BaseDetection/OTA
공식 코드https://github.com/Megvii-BaseDetection/YOLOX
공식 코드https://github.com/Megvii-Nanjing/CR-DA-DET
공식 코드Exploring Categorical Regularization for Domain Adaptive Object Detection
https://github.com/MegviiDetection/FSCE
공식 코드FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding
https://github.com/Mehran-Soltani/ChannelNet
공식 코드https://github.com/Mehrdad-Noori/CAGNet
공식 코드https://github.com/Mehrdad-Noori/Saliency-Evaluation-Toolbox
공식 코드https://github.com/Menace-Dragon/VP-QOD
공식 코드https://github.com/MengLcool/RichSem
공식 코드Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection
https://github.com/MenghaoGuo/-EANet
공식 코드Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks
https://github.com/MenghaoGuo/Awesome-Vision-Attentions
공식 코드https://github.com/Metalicana/Deblurring-With-Phase-and-Dark-Channels
공식 코드https://github.com/MhLiao/TextBoxes_plusplus
공식 코드https://github.com/Mhaiyang/CVPR2021_PFNet
공식 코드https://github.com/MichaelFan01/STDC-Seg
공식 코드https://github.com/Microsoft/human-pose-estimation.pytorch
공식 코드Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/Microtreei/TSD-SR
공식 코드TSD-SR: One-Step Diffusion with Target Score Distillation for Real-World Image Super-Resolution
https://github.com/MikeS96/3d_obj_detection
공식 코드High-level camera-LiDAR fusion for 3D object detection with machine learning
https://github.com/MingiJi/FRSKD
공식 코드Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation
https://github.com/MohamadDabboussi/Multiview-Xray-Matching
공식 코드https://github.com/MonashAI/LIT
공식 코드https://github.com/MosheEliasof/DRIP
공식 코드https://github.com/MrGiovanni/Nested-UNet
공식 코드UNet++: A Nested U-Net Architecture for Medical Image Segmentation
https://github.com/Muzammal-Naseer/NRP
공식 코드https://github.com/Mxbonn/anchor_pruning
공식 코드https://github.com/NC717/DeepRA
공식 코드DeepRA: Predicting Joint Damage From Radiographs Using CNN with Attention
https://github.com/NJU-Jet/SR_Mobile_Quantization
공식 코드https://github.com/NJU-LHRS/official-CMID
공식 코드CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image Understanding
https://github.com/NJUVISION/rho-vision
공식 코드https://github.com/NUAAXQ/MLCVNet
공식 코드MLCVNet: Multi-Level Context VoteNet for 3D Object Detection
https://github.com/NUST-Machine-Intelligence-Laboratory/HFAN
공식 코드Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.