Papers with Code 아카이브
2D Object Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 15
- 평가표
- 20
- 보존된 평가 기록
- 57
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/oiplab-dut/mfnet
공식 코드MFNet: Multi-filter Directive Network for Weakly Supervised Salient Object Detection
https://github.com/ok-robot/ok-robot
공식 코드OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics
https://github.com/okojoalg/dfformer
공식 코드https://github.com/okojoalg/raft-mlp
공식 코드RaftMLP: How Much Can Be Done Without Attention and with Less Spatial Locality?
https://github.com/oliverrensu/deepmim
공식 코드https://github.com/om-ai-lab/OmDet
공식 코드OmDet: Large-scale vision-language multi-dataset pre-training with multimodal detection network
https://github.com/om-ai-lab/groundvlp
공식 코드https://github.com/om-ai-lab/ovdeval
공식 코드https://github.com/om-ai-lab/vlm-r1
공식 코드VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
https://github.com/omar9008-eng/Object-Detection-Tracking-2025
공식 코드https://github.com/omidmnezami/pick-object-attack
공식 코드Pick-Object-Attack: Type-Specific Adversarial Attack for Object Detection
https://github.com/omni-us/research-dataset-sGMB
공식 코드A Neural Model for Text Localization, Transcription and Named Entity Recognition in Full Pages
https://github.com/omni-us/research-e2e-pagereader
공식 코드A Neural Model for Text Localization, Transcription and Named Entity Recognition in Full Pages
https://github.com/open-air-sun/pq-transformer
공식 코드PQ-Transformer: Jointly Parsing 3D Objects and Layouts from Point Clouds
https://github.com/open-mmlab/OpenPCDet
공식 코드PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
https://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/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/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/training_extensions
공식 코드How to Train an Accurate and Efficient Object Detection Model on Any Dataset
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.