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/dalifreire/tumor_regions_segmentation
공식 코드Hematoxylin and eosin stained oral squamous cell carcinoma histological images dataset
https://github.com/dandingbudanding/DRSNet
공식 코드A De-raining semantic segmentation network for real-time foreground segmentation
https://github.com/danganea/iMTFA
공식 코드https://github.com/danhntd/FS-CDIS
공식 코드The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation
https://github.com/daniel3303/storyreasoning
공식 코드StoryReasoning Dataset: Using Chain-of-Thought for Scene Understanding and Grounded Story Generation
https://github.com/daniellli/lion
공식 코드https://github.com/daniellli/pad
공식 코드https://github.com/danielshkao/thinkvideo
공식 코드ThinkVideo: High-Quality Reasoning Video Segmentation with Chain of Thoughts
https://github.com/daniyanaj/dwinformer
공식 코드Medical Image Segmentation Using Directional Window Attention
https://github.com/danjacobellis/mpq
공식 코드https://github.com/daoyuan98/sdt-hoi
공식 코드https://github.com/dapangliu/lamer
공식 코드Non-Parallel Text Style Transfer with Self-Parallel Supervision
https://github.com/darthreca/cabuar
공식 코드https://github.com/davecasp/flowssm
공식 코드Landmark-free Statistical Shape Modeling via Neural Flow Deformations
https://github.com/david-stojanovski/echo_from_noise
공식 코드https://github.com/davidmchan/clair-a
공식 코드CLAIR-A: Leveraging Large Language Models to Judge Audio Captions
https://github.com/davidvandijcke/fdd
공식 코드Free Discontinuity Regression: With an Application to the Economic Effects of Internet Shutdowns
https://github.com/davidvandijcke/fdr
공식 코드Free Discontinuity Regression: With an Application to the Economic Effects of Internet Shutdowns
https://github.com/dawn-lx/openvoc-vidvrd
공식 코드Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection
https://github.com/dawn-lx/vidvrd-tracklets
공식 코드Video Relation Detection via Tracklet based Visual Transformer
https://github.com/dayihengliu/Fine-Grained-Style-Transfer
공식 코드Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning
https://github.com/ddrrnn123/omni-seg
공식 코드https://github.com/declare-lab/emma-x
공식 코드https://github.com/deel-ai-papers/consema
공식 코드Conformal Prediction for Image Segmentation Using Morphological Prediction Sets
https://github.com/deep-unlearn/ISPRS-Classification-With-an-Edge
공식 코드Classification With an Edge: Improving Semantic Image Segmentation with Boundary Detection
https://github.com/deepinsight/insightface
공식 코드Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing
https://github.com/deeplab-ai/selfsupervisedvrd
공식 코드https://github.com/deepmed-lab-ecnu/bcp
공식 코드Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation
https://github.com/deepmed-lab-ecnu/fs_medsam2
공식 코드RevSAM2: Prompt SAM2 for Medical Image Segmentation via Reverse-Propagation without Fine-tuning
https://github.com/deepmed-lab-ecnu/magicnet
공식 코드MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery
https://github.com/deepmind/dm_nevis
공식 코드NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
https://github.com/deepmind/threednel
공식 코드3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation
https://github.com/deeptag/cstm
공식 코드Continuous Spatio-Temporal Memory Networks for 4D Cardiac Cine MRI Segmentation
https://github.com/deeptibhegde/clip-goes-3d
공식 코드CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D Recognition
https://github.com/defaultrui/vln-ver
공식 코드Volumetric Environment Representation for Vision-Language Navigation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.