https://github.com/kanji95/SHNET
공식 코드Comprehensive Multi-Modal Interactions for Referring Image Segmentation
Papers with Code 아카이브
Referring Expression Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 평가표
- 22
- 보존된 평가 기록
- 317
The task aims at labeling the pixels of an image or video that represent an object instance referred by a linguistic expression. In particular, the referring expression (RE) must allow the identification of an individual object in a discourse or scene (the referent). REs unambiguously identify the target instance.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/kkakkkka/etris
공식 코드Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image Segmentation
https://github.com/lavreniuk/evp
공식 코드https://github.com/leaplabthu/gsva
공식 코드GSVA: Generalized Segmentation via Multimodal Large Language Models
https://github.com/leonnnop/locater
공식 코드Local-Global Context Aware Transformer for Language-Guided Video Segmentation
https://github.com/lichengunc/MAttNet
공식 코드MAttNet: Modular Attention Network for Referring Expression Comprehension
https://github.com/linfengyuan1997/losh
공식 코드LoSh: Long-Short Text Joint Prediction Network for Referring Video Object Segmentation
https://github.com/lluma/OCID-Ref
공식 코드OCID-Ref: A 3D Robotic Dataset with Embodied Language for Clutter Scene Grounding
https://github.com/luogen1996/MCN
공식 코드Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentation
https://github.com/lxa9867/R2VOS
공식 코드Towards Robust Referring Video Object Segmentation with Cyclic Relational Consensus
https://github.com/mbzuai-oryx/groundingLMM
공식 코드https://github.com/mc-lan/text4seg
공식 코드https://github.com/microsoft/GLIP
공식 코드GLIPv2: Unifying Localization and Vision-Language Understanding
https://github.com/microsoft/X-Decoder
공식 코드https://github.com/minghanli/univs
공식 코드UniVS: Unified and Universal Video Segmentation with Prompts as Queries
https://github.com/miriambellver/refvos
공식 코드RefVOS: A Closer Look at Referring Expressions for Video Object Segmentation
https://github.com/msiam/pixfoundation
공식 코드PixFoundation: Are We Heading in the Right Direction with Pixel-level Vision Foundation Models?
https://github.com/mttr2021/MTTR
공식 코드End-to-End Referring Video Object Segmentation with Multimodal Transformers
https://github.com/naver-ai/maskris
공식 코드MaskRIS: Semantic Distortion-aware Data Augmentation for Referring Image Segmentation
https://github.com/next-chatv/next-chat
공식 코드https://github.com/nineblu/omni-res
공식 코드https://github.com/nini0919/semires
공식 코드https://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/qwenlm/qwen-vl
공식 코드Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
https://github.com/rkzheng99/villa
공식 코드ViLLa: Video Reasoning Segmentation with Large Language Model
https://github.com/robertluo1/cohd
공식 코드https://github.com/rongfu-dsb/MPG-SAM2
공식 코드https://github.com/ronghanghu/text_objseg
공식 코드https://github.com/rubics-xuan/mres
공식 코드Unveiling Parts Beyond Objects:Towards Finer-Granularity Referring Expression Segmentation
https://github.com/sean-zhuh/seqtr
공식 코드https://github.com/seonghoon-yu/zero-shot-ris
공식 코드Zero-shot Referring Image Segmentation with Global-Local Context Features
https://github.com/shikras/shikra
공식 코드Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic
https://github.com/sitonggong/vrs-hq
공식 코드The Devil is in Temporal Token: High Quality Video Reasoning Segmentation
https://github.com/sosppxo/3d-stmn
공식 코드https://github.com/sosppxo/MDIN
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.