referring-expression-segmentation

[CVPR'23] Universal Instance Perception as Object Discovery and Retrieval

[CVPR2024 Highlight]GLEE: General Object Foundation Model for Images and Videos at Scale

[CVPR2023 Highlight] GRES: Generalized Referring Expression Segmentation

[ICCV 2023] MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions

A benchmark dataset for GRES and GREC [CVPR2023 Highlight]

Code release for "UniVS: Unified and Universal Video Segmentation with Prompts as Queries" (CVPR2024)

[CVPR2020] Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentation, CVPR2020 (oral)

A lightweight codebase for referring expression comprehension and segmentation

[CVPR 2025] Official PyTorch Implementation of GLUS: Global-Local Reasoning Unified into A Single Large Language Model for Video Segmentation

Official PyTorch implementation of “MaskRIS: Semantic Distortion-aware Data Augmentation for Referring Image Segmentation”

[MULA Workshop @ CVPR 2022] Modulating Bottom-Up and Top-Down Visual Processing via Language-Conditional Filters

VIPA: Visual Informative Part Attention Framework for Transformer-based Referring Image Segmentation