https://github.com/oneal2000/stard
공식 코드STARD: A Chinese Statute Retrieval Dataset with Real Queries Issued by Non-professionals
Papers with Code 아카이브
2D Classification
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/oneal2000/wikiformer
공식 코드Wikiformer: Pre-training with Structured Information of Wikipedia for Ad-hoc Retrieval
https://github.com/onkarsus13/d2styler
공식 코드D2Styler: Advancing Arbitrary Style Transfer with Discrete Diffusion Methods
https://github.com/open-air-sun/pq-transformer
공식 코드PQ-Transformer: Jointly Parsing 3D Objects and Layouts from Point Clouds
https://github.com/open-compass/lawbench
공식 코드LawBench: Benchmarking Legal Knowledge of Large Language Models
https://github.com/open-mmlab/OpenPCDet
공식 코드PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
https://github.com/open-mmlab/StyleShot
공식 코드https://github.com/open-mmlab/amphion
공식 코드https://github.com/open-mmlab/mmdetection
공식 코드https://github.com/open-mmlab/mmdetection/tree/3.x/configs/rtmdet
공식 코드RTMDet: An Empirical Study of Designing Real-Time Object Detectors
https://github.com/open-mmlab/mmdetection/tree/master/configs/groie
공식 코드A novel Region of Interest Extraction Layer for Instance Segmentation
https://github.com/open-mmlab/mmdetection/tree/master/mmdet/models/necks
공식 코드https://github.com/open-mmlab/mmdetection3d
공식 코드Exploring Data Augmentation for Multi-Modality 3D Object Detection
https://github.com/open-mmlab/mmpose
공식 코드RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose
https://github.com/open-mmlab/mmrazor
공식 코드PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient
https://github.com/open-mmlab/mmrotate
공식 코드MMRotate: A Rotated Object Detection Benchmark using PyTorch
https://github.com/open-mmlab/mmtracking
공식 코드https://github.com/openai/CLIP
공식 코드Learning Transferable Visual Models From Natural Language Supervision
https://github.com/openai/gpt-3
공식 코드https://github.com/opendr-eu/datasets
공식 코드https://github.com/opendrivelab/bevperception-survey-recipe
공식 코드Geometric-aware Pretraining for Vision-centric 3D Object Detection
https://github.com/opendrivelab/birds-eye-view-perception
공식 코드Leveraging Vision-Centric Multi-Modal Expertise for 3D Object Detection
https://github.com/opengvlab/ego4d-eccv2022-solutions
공식 코드InternVideo-Ego4D: A Pack of Champion Solutions to Ego4D Challenges
https://github.com/opengvlab/hulk
공식 코드Hulk: A Universal Knowledge Translator for Human-Centric Tasks
https://github.com/opengvlab/humanbench
공식 코드Hulk: A Universal Knowledge Translator for Human-Centric Tasks
https://github.com/opengvlab/internimage
공식 코드InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
https://github.com/opengvlab/piip
공식 코드https://github.com/opengvlab/unihcp
공식 코드https://github.com/openmsl/reflection_based_lidar_object_model
공식 코드Simulating Road Spray Effects in Automotive Lidar Sensor Models
https://github.com/openvinotoolkit/nncf
공식 코드Neural Network Compression Framework for fast model inference
https://github.com/openvinotoolkit/nncf_pytorch
공식 코드Neural Network Compression Framework for fast model inference
https://github.com/openvinotoolkit/training_extensions
공식 코드How to Train an Accurate and Efficient Object Detection Model on Any Dataset
https://github.com/openxrlab/xrfeitoria
공식 코드SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and Modeling
https://github.com/oppo-mente-lab/tlcm
공식 코드TLCM: Training-efficient Latent Consistency Model for Image Generation with 2-8 Steps
https://github.com/opscidia/science-checker
공식 코드Science Checker: Extractive-Boolean Question Answering For Scientific Fact Checking
https://github.com/optml-group/bibaddiff
공식 코드From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.