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/ykarmesh/stable-control-representations
공식 코드Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control
https://github.com/ykiwu/embodiedocc
공식 코드EmbodiedOcc: Embodied 3D Occupancy Prediction for Vision-based Online Scene Understanding
https://github.com/ylochman/single-view-autocalib
공식 코드Minimal Solvers for Single-View Lens-Distorted Camera Auto-Calibration
https://github.com/ymp5078/semantic-stacking
공식 코드S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging
https://github.com/yoichi1484/reflection
공식 코드https://github.com/yolomax/umtf
공식 코드Unsupervised Person Re-Identification with Wireless Positioning under Weak Scene Labeling
https://github.com/yongchengyao/cmt-amai24paper
공식 코드Quantifying Knee Cartilage Shape and Lesion: From Image to Metrics
https://github.com/yonghengsun1997/odada
공식 코드https://github.com/yore0/ttdg-mgm
공식 코드https://github.com/youhuang67/interformer
공식 코드https://github.com/youjunzhao/openscan
공식 코드OpenScan: A Benchmark for Generalized Open-Vocabulary 3D Scene Understanding
https://github.com/youngfly11/ReIR-WeaklyGrounding.pytorch
공식 코드Relation-aware Instance Refinement for Weakly Supervised Visual Grounding
https://github.com/youngsean/unseenobjectswithmeanshift
공식 코드Mean Shift Mask Transformer for Unseen Object Instance Segmentation
https://github.com/youseob/pin
공식 코드Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL
https://github.com/youshanzhang/birdsoundsdenoising
공식 코드BirdSoundsDenoising: Deep Visual Audio Denoising for Bird Sounds
https://github.com/youshanzhang/lung_segmentation
공식 코드https://github.com/yoxu515/aot-benchmark
공식 코드Scalable Video Object Segmentation with Identification Mechanism
https://github.com/yoxu515/mits
공식 코드Integrating Boxes and Masks: A Multi-Object Framework for Unified Visual Tracking and Segmentation
https://github.com/yoxu515/viposeg-benchmark
공식 코드https://github.com/yrcong/NODIS
공식 코드https://github.com/yrcong/RelTR
공식 코드https://github.com/yrcong/learning_similarity_between_graphs_images
공식 코드SPAN: Learning Similarity between Scene Graphs and Images with Transformers
https://github.com/yrcong/sttran
공식 코드Spatial-Temporal Transformer for Dynamic Scene Graph Generation
https://github.com/ysmei97/multimodal_pci_mask
공식 코드Exploiting Partial Common Information Microstructure for Multi-Modal Brain Tumor Segmentation
https://github.com/yuan-12138/mi-segnet
공식 코드MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization
https://github.com/yuanzhang7/pathfl
공식 코드PathFL: Multi-Alignment Federated Learning for Pathology Image Segmentation
https://github.com/yucornetto/CAKES
공식 코드CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks
https://github.com/yueruchen/Pedestrian-Synthesis-GAN
공식 코드Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond
https://github.com/yuhanghe01/hifanet
공식 코드Learning 3D Semantics from Pose-Noisy 2D Images with Hierarchical Full Attention Network
https://github.com/yuhangzang/contextdet
공식 코드Contextual Object Detection with Multimodal Large Language Models
https://github.com/yuhoo0302/segment-anything-model-for-medical-images
공식 코드https://github.com/yuhuan-wu/P2T
공식 코드https://github.com/yuhui-zh15/transseg
공식 코드https://github.com/yujun0-0/mma-net
공식 코드VIL-100: A New Dataset and A Baseline Model for Video Instance Lane Detection
https://github.com/yuk6heo/GIS-RAmap
공식 코드Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.