https://bitbucket.org/deeplabai/vrd
공식 코드Deeply Supervised Multimodal Attentional Translation Embeddings for Visual Relationship Detection
Papers with Code 아카이브
Scene Parsing
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Scene parsing is to segment and parse an image into different image regions associated with semantic categories, such as sky, road, person, and bed. MIT Description
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/0liliulei/mask-vos
공식 코드Unified Mask Embedding and Correspondence Learning for Self-Supervised Video Segmentation
https://github.com/18979705623/hspr
공식 코드Hierarchical Spatial Proximity Reasoning for Vision-and-Language Navigation
https://github.com/3dlg-hcvc/M3DRef-CLIP
공식 코드Multi3DRefer: Grounding Text Description to Multiple 3D Objects
https://github.com/3dlg-hcvc/plan2scene
공식 코드https://github.com/4dvlab/hucenlife
공식 코드Human-centric Scene Understanding for 3D Large-scale Scenarios
https://github.com/594422814/ContrastCorr
공식 코드Contrastive Transformation for Self-supervised Correspondence Learning
https://github.com/983632847/awesome-multimodal-object-tracking
공식 코드Underwater Camouflaged Object Tracking Meets Vision-Language SAM2
https://github.com/ACRA-FL/GeoTRNet
공식 코드https://github.com/AICPS/roadscene2vec
공식 코드roadscene2vec: A Tool for Extracting and Embedding Road Scene-Graphs
https://github.com/AIS-Bonn/synpick
공식 코드SynPick: A Dataset for Dynamic Bin Picking Scene Understanding
https://github.com/AKASH2907/End-to-End-Semi-Supervised-Learning-for-Video-Action-Detection
공식 코드End-to-End Semi-Supervised Learning for Video Action Detection
https://github.com/AKASH2907/stable-mean-teacher
공식 코드Stable Mean Teacher for Semi-supervised Video Action Detection
https://github.com/AVC2-UESTC/OV2VSS
공식 코드https://github.com/AbanobSoliman/IBISCape
공식 코드https://github.com/Ali2500/HODOR
공식 코드HODOR: High-level Object Descriptors for Object Re-segmentation in Video Learned from Static Images
https://github.com/Ali2500/TarViS
공식 코드TarViS: A Unified Approach for Target-based Video Segmentation
https://github.com/AlibabaResearch/AdvancedLiterateMachinery/tree/main/OCR/LevOCR
공식 코드https://github.com/AlibabaResearch/AdvancedLiterateMachinery/tree/main/OCR/MGP-STR
공식 코드https://github.com/Alpaca07/dtr
공식 코드Focus-Enhanced Scene Text Recognition with Deformable Convolutions
https://github.com/Andreas-Pfeuffer/LSTM-ICNet
공식 코드https://github.com/Andrew-Qibin/SPNet
공식 코드https://github.com/AngeLouCN/SAM-2_Surgical_Video
공식 코드Zero-Shot Surgical Tool Segmentation in Monocular Video Using Segment Anything Model 2
https://github.com/AnshShah3009/MetricGold
공식 코드MetricGold: Leveraging Text-To-Image Latent Diffusion Models for Metric Depth Estimation
https://github.com/AutoCompSysLab/DCTNet
공식 코드https://github.com/AutoML-4Paradigm/AutoSTR
공식 코드AutoSTR: Efficient Backbone Search for Scene Text Recognition
https://github.com/BR-IDL/PaddleViT
공식 코드https://github.com/Bartzi/kiss
공식 코드https://github.com/Bartzi/see
공식 코드SEE: Towards Semi-Supervised End-to-End Scene Text Recognition
https://github.com/Bartzi/stn-ocr
공식 코드STN-OCR: A single Neural Network for Text Detection and Text Recognition
https://github.com/Bhashini-IITJ/visualTranslation
공식 코드https://github.com/BinahHu/ADE-FewShot
공식 코드Unlocking the Full Potential of Small Data with Diverse Supervision
https://github.com/Bravo5542/TJSTG
공식 코드Target-Aware Spatio-Temporal Reasoning via Answering Questions in Dynamics Audio-Visual Scenarios
https://github.com/BryanPlummer/pl-clc
공식 코드Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues
https://github.com/ByungKwanLee/MoAI
공식 코드MoAI: Mixture of All Intelligence for Large Language and Vision Models
https://github.com/CSAILVision/semantic-segmentation-pytorch
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.