https://github.com/FoundationVision/GLEE
공식 코드General Object Foundation Model for Images and Videos at Scale
Papers with Code 아카이브
Referring Video Object Segmentation
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Referring video object segmentation aims at segmenting an object in video with language expressions. Unlike the previous video object segmentation, the task exploits a different type of supervision, language expressions, to identify and segment an object referred by the given language expressions in a video.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/MasterBin-IIAU/UNINEXT
공식 코드Universal Instance Perception as Object Discovery and Retrieval
https://github.com/RobertLuo1/NeurIPS2023_SOC
공식 코드SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation
https://github.com/bo-miao/HTR
공식 코드Temporally Consistent Referring Video Object Segmentation with Hybrid Memory
https://github.com/bo-miao/sgmg
공식 코드Spectrum-guided Multi-granularity Referring Video Object Segmentation
https://github.com/buxiangzhiren/vd-it
공식 코드Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object Segmentation
https://github.com/choi58/mtcm
공식 코드Multi-Context Temporal Consistent Modeling for Referring Video Object Segmentation
https://github.com/cilinyan/VISA
공식 코드VISA: Reasoning Video Object Segmentation via Large Language Models
https://github.com/cilinyan/revos-api
공식 코드VISA: Reasoning Video Object Segmentation via Large Language Models
https://github.com/claudiacuttano/samwise
공식 코드SAMWISE: Infusing Wisdom in SAM2 for Text-Driven Video Segmentation
https://github.com/congvvc/HyperSeg
공식 코드HyperSeg: Towards Universal Visual Segmentation with Large Language Model
https://github.com/cvlab-kaist/SOLA
공식 코드Referring Video Object Segmentation via Language-aligned Track Selection
https://github.com/dexianghong/manet
공식 코드Multi-Attention Network for Compressed Video Referring Object Segmentation
https://github.com/dvlab-research/lisa
공식 코드https://github.com/dzh19990407/lbdt
공식 코드Language-Bridged Spatial-Temporal Interaction for Referring Video Object Segmentation
https://github.com/foundationvision/uniref
공식 코드UniRef++: Segment Every Reference Object in Spatial and Temporal Spaces
https://github.com/henghuiding/MeViS
공식 코드MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions
https://github.com/henghuiding/Vision-Language-Transformer
공식 코드VLT: Vision-Language Transformer and Query Generation for Referring Segmentation
https://github.com/hengliusky/few_shot_rvos
공식 코드Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples
https://github.com/heshuting555/dshmp
공식 코드Decoupling Static and Hierarchical Motion Perception for Referring Video Segmentation
https://github.com/hkchengrex/Tracking-Anything-with-DEVA
공식 코드https://github.com/isee-laboratory/referdino-plus
공식 코드ReferDINO-Plus: 2nd Solution for 4th PVUW MeViS Challenge at CVPR 2025
https://github.com/jiawen-zhu/trackgpt
공식 코드https://github.com/lancasterli/refsam
공식 코드RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation
https://github.com/leonnnop/locater
공식 코드Local-Global Context Aware Transformer for Language-Guided Video Segmentation
https://github.com/linfengyuan1997/losh
공식 코드LoSh: Long-Short Text Joint Prediction Network for Referring Video Object Segmentation
https://github.com/lxa9867/R2VOS
공식 코드Towards Robust Referring Video Object Segmentation with Cyclic Relational Consensus
https://github.com/magic-research/Sa2VA
공식 코드Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos
https://github.com/mbzuai-oryx/videomolmo
공식 코드https://github.com/minghanli/univs
공식 코드UniVS: Unified and Universal Video Segmentation with Prompts as Queries
https://github.com/mttr2021/MTTR
공식 코드End-to-End Referring Video Object Segmentation with Multimodal Transformers
https://github.com/opengvlab/internvideo
공식 코드InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
https://github.com/opengvlab/mutr
공식 코드Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation
https://github.com/robertluo1/iccv2023_rvos_challenge
공식 코드1st Place Solution for 5th LSVOS Challenge: Referring Video Object Segmentation
https://github.com/rongfu-dsb/MPG-SAM2
공식 코드https://github.com/showlab/videolisa
공식 코드One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.