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/shellredia/sam-octa2
OCTA-500: A Retinal Dataset for Optical Coherence Tomography Angiography Study
https://github.com/shellredia/snake-swin-octa
OCTA-500: A Retinal Dataset for Optical Coherence Tomography Angiography Study
https://github.com/shenshutao/image_segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/sherif-abdelkarim/LTVRR
Exploring Long Tail Visual Relationship Recognition with Large Vocabulary
https://github.com/shermanhung/U-Net
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/shibuiwilliam/Keras_Autoencoder
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/shicai/MobileNet-Caffe
https://github.com/shih61/deep-learnging-3d-object-dectation
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/shineho2014/Unet-Pavement_Crack-Detection
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/shirans/cv_course_project
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/shivamkhare95/Unet_graph
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/shivaverma/Score-Time-Detection
https://github.com/shreshtashetty/OCR
https://github.com/shreyaspadhy/unet-zoo
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/shtuplus/pysgg
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation
https://github.com/sicxu/Deep3dPortrait
https://github.com/siddagra/DPAN-look-back-Again-Dual-Parallel-Attention-Network-for-Accurate-and-Robust-Scene-Text-Recognition
https://github.com/siddinc/monocular_depth_estimation
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/sidify/areal_image_segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/sigtot/unet-auto
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/simeks/deform
Fast Graph-Cut Based Optimization for Practical Dense Deformable Registration of Volume Images
https://github.com/simonzeng7108/video-transunet
Video-SwinUNet: Spatio-temporal Deep Learning Framework for VFSS Instance Segmentation
https://github.com/sinandeger/RedeemTheBoar
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/sithu31296/semantic-segmentation
https://github.com/siyi-wind/tip
MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets
https://github.com/sizhean/panohead
PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360$^{\circ}$
https://github.com/sjosias/Tsetse-Flies
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
https://github.com/sk1123344/U-2-NET-and-U-NET
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/smdYe/FC-DenseNet-Keras
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
https://github.com/smilelite/RobustScanner.paddle
RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition
https://github.com/smilelite/spin_paddle
SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition
https://github.com/smisthzhu/attentionocr
A Feasible Framework for Arbitrary-Shaped Scene Text Recognition
https://github.com/soccernet/sn-grounding
SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos
https://github.com/soccernet/sn-spotting
SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos
https://github.com/soeaver/RP-R-CNN
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.