https://github.com/event-ahu/eventstr
공식 코드EventSTR: A Benchmark Dataset and Baselines for Event Stream based Scene Text Recognition
Papers with Code 아카이브
2D Semantic Segmentation
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/evocargo/lidar-annotation-is-all-you-need
공식 코드https://github.com/exilefaker/capsnet-experiments
공식 코드https://github.com/ezefranca/Master-Exploder
공식 코드Uma implementação do jogo Pedra, Papel e Tesoura utilizando Visao Computacional
https://github.com/f-frida/glsgn
공식 코드Global-Local Stepwise Generative Network for Ultra High-Resolution Image Restoration
https://github.com/f90/FactorGAN
공식 코드https://github.com/fabianbalsiger/point-cloud-segmentation-miccai2019
공식 코드Learning Shape Representation on Sparse Point Clouds for Volumetric Image Segmentation
https://github.com/fabianfalck/unet-design
공식 코드https://github.com/facebookresearch/ContrastiveSceneContexts
공식 코드Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts
https://github.com/facebookresearch/Mask2Former
공식 코드Masked-attention Mask Transformer for Universal Image Segmentation
https://github.com/facebookresearch/PointContrast
공식 코드PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
https://github.com/facebookresearch/cutler
공식 코드VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation
https://github.com/facebookresearch/deit
공식 코드Augmenting Convolutional networks with attention-based aggregation
https://github.com/facebookresearch/detectron2/tree/master/projects/PointRend
공식 코드https://github.com/facebookresearch/edgetam
공식 코드https://github.com/facebookresearch/habitat-api
공식 코드DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames
https://github.com/facebookresearch/omnivore
공식 코드https://github.com/facebookresearch/sam2
공식 코드https://github.com/facebookresearch/segment-anything
공식 코드https://github.com/facebookresearch/segment_this_thing
공식 코드Segment This Thing: Foveated Tokenization for Efficient Point-Prompted Segmentation
https://github.com/facebookresearch/uncertainty-driven-active-vision
공식 코드Uncertainty-Driven Active Vision for Implicit Scene Reconstruction
https://github.com/fadilaw/swahili-str-dataset
공식 코드The First Swahili Language Scene Text Detection and Recognition Dataset
https://github.com/fahadshamshad/awesome-transformers-in-medical-imaging
공식 코드https://github.com/fahimzaman/ldseg
공식 코드Latent Diffusion for Medical Image Segmentation: End to end learning for fast sampling and accuracy
https://github.com/faildeny/fednnunet
공식 코드Federated nnU-Net for Privacy-Preserving Medical Image Segmentation
https://github.com/faltingsa/ssm
공식 코드Self-Supervised Pre-training with Symmetric Superimposition Modeling for Scene Text Recognition
https://github.com/fangshancheng/abinet-pp
공식 코드ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spotting
https://github.com/faresbougourzi/awesome-dl-for-medical-imaging-segmentation
공식 코드https://github.com/faresbougourzi/ccfg-net
공식 코드Extremely Fine-Grained Visual Classification over Resembling Glyphs in the Wild
https://github.com/fastnlp/nlp-dataset
공식 코드Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation
https://github.com/fastnlp/style-transformer
공식 코드Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation
https://github.com/fatemafaria142/Retinal-Fundus-Classification-using-XAI-and-Segmentation
공식 코드https://github.com/fatemehazimi990/HS2S
공식 코드Hybrid-S2S: Video Object Segmentation with Recurrent Networks and Correspondence Matching
https://github.com/fatemehazimi990/RS2S
공식 코드Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory
https://github.com/faustomilletari/CFCM-2D
공식 코드https://github.com/faustomilletari/VNet
공식 코드V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.