Papers with Code 아카이브
2D Semantic Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 17
- 평가표
- 11
- 보존된 평가 기록
- 42
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/oldbirdaz/mssrnet_style_transfer
공식 코드MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer
https://github.com/oliverjm1/bmvc_menisc_seg
공식 코드https://github.com/oliverrensu/mvg
공식 코드Medical Vision Generalist: Unifying Medical Imaging Tasks in Context
https://github.com/olivesgatech/implicit-background-estimation
공식 코드https://github.com/olivesgatech/pointprompt
공식 코드Benchmarking Human and Automated Prompting in the Segment Anything Model
https://github.com/olivesgatech/segmentation_corruption
공식 코드On the Structures of Representation for the Robustness of Semantic Segmentation to Input Corruption
https://github.com/omid-nejati/befunet
공식 코드BEFUnet: A Hybrid CNN-Transformer Architecture for Precise Medical Image Segmentation
https://github.com/onealwj/mvlt
공식 코드Masked Vision-Language Transformers for Scene Text Recognition
https://github.com/onvungocminh/pathloss
공식 코드BuyTheDips: PathLoss for improved topology-preserving deep learning-based image segmentation
https://github.com/open-air-sun/cerberus
공식 코드Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing
https://github.com/open-air-sun/pq-transformer
공식 코드PQ-Transformer: Jointly Parsing 3D Objects and Layouts from Point Clouds
https://github.com/open-air-sun/viewpoint-bottleneck
공식 코드Pointly-supervised 3D Scene Parsing with Viewpoint Bottleneck
https://github.com/open-forest-observatory/tree-detection-framework
공식 코드Zero-Shot Tree Detection and Segmentation from Aerial Forest Imagery
https://github.com/open-mmlab/mmocr/blob/main/configs/textrecog/robust_scanner/README.md
공식 코드RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition
https://github.com/opendatalab/urbench
공식 코드https://github.com/opendilab/InterFuser
공식 코드Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer
https://github.com/opendrivelab/elm
공식 코드https://github.com/opendrivelab/toponet
공식 코드https://github.com/opengeos/segment-geospatial
공식 코드The Segment Anything Model (SAM) for Remote Sensing Applications: From Zero to One Shot
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/mutr
공식 코드Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation
https://github.com/opengvlab/unihcp
공식 코드https://github.com/opengvlab/vinci
공식 코드An Egocentric Vision-Language Model based Portable Real-time Smart Assistant
https://github.com/openmedlab/medlsam
공식 코드MedLSAM: Localize and Segment Anything Model for 3D CT Images
https://github.com/openmedlab/mis-fm
공식 코드https://github.com/opennlplab/avsbench
공식 코드https://github.com/openrobotlab/embodiedscan
공식 코드EmbodiedScan: A Holistic Multi-Modal 3D Perception Suite Towards Embodied AI
https://github.com/openrobotlab/vlm-grounder
공식 코드https://github.com/openseg-group/mlseg
공식 코드RankSeg: Adaptive Pixel Classification with Image Category Ranking for Segmentation
https://github.com/openseg-group/rankseg
공식 코드RankSeg: Adaptive Pixel Classification with Image Category Ranking for Segmentation
https://github.com/openvinotoolkit/training_extensions
공식 코드Why You Should Try the Real Data for the Scene Text Recognition
https://github.com/opradelle/2dguidedlight3d
공식 코드Lightweight integration of 3D features to improve 2D image segmentation
https://github.com/orange-czh/mamba-sea
공식 코드https://github.com/oravus/lostX
공식 코드LoST? Appearance-Invariant Place Recognition for Opposite Viewpoints using Visual Semantics
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.